Week 4 Excel

C

onsumer Purchases

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Consumer Purchases

by Category

Sales in millions of dollars

2

009 20

1

0

2011 2012

201

3

201

4

201

5

201

6

Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320 Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779

A

pparel

11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269 Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Figure 3.2

Consumer Purchases

Equipment

2009 2010

2011 2012

2013 2014 2015 2016

18971 19033 19170 20319 19439 16196 15224 13320 Footwear

2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779

Apparel

2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269

Year

Sales (in millions of dollars)

Figure 3.3

Consumer Purchases

Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269

i(n millions)

Figure 3.4

Sales in millions of dollars
2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269

Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases by Category

Figure 3.5

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Figure 3.6

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269

Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269

Figure 3.7

Consumer Purchases by Category
Sales in millions of dollars

2016 2015 2014 2013 2012 2011 2010 2009

Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269

Total 46,824 45,835 45,625 45,655 43,196 45,083 44,387 42,914

Equipment 2016 2015 2014 2013 2012 2011 2010 2009 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2016 2015 2014 2013 2012 2011 2010 2009 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2016 2015 2014 2013 2012 2011 2010 2009 11127 12035 12845 10307 11030 9195 12971 15269

Equipment 2016 2015 2014 2013 2012 2011 2010 2009 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2016 2015 2014 2013 2012 2011 2010 2009 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2016 2015 2014 2013 2012 2011 2010 2009 11127 12035 12845 10307 11030 9195 12971 15269

Figure 3.8

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269

Figure 3.9

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845

Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269

Figure 3.10

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases
2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845

Figure 3.11

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases
2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845

Sporting Goods

(in millions)

Consumer Purchases
2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845

Sales of Sproting Goods (in millions)

Figure 3.12

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases
2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Figure 3.13

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

13320 18779 15269

Figure 3.14

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

2016 Consumer Purchases

Equipment Footwear Apparel 13320 18779 15269

Figure 3.15

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

2016 Consumer Purchases

Equipment Footwear Apparel 13320 18779 15269

Figure 3.16

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Equipment Footwear Apparel 13320 18779 15269
2016 Consumer Purchases

Equipment Footwear Apparel 13320 18779 15269

Figure 3.17

Consumer Purchases by Category
Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases
Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269
(in millions)

Consumer Purchases
Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269
(in millions)

Consumer Purchases
Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269
(in millions)

Consumer Purchases

Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269 Footwear 12816 13318 13068 12546 13026 11742 16928 18779 Equipment 18971 19033 19170 20319 19439 16196 15224 13320

(in millions)

1
2
3
4
5
6
A

B

C
Consumer Purchases by Category
Sales in millions of dollars
2009
2010
Equipment
18,971
19,033
Footwear
12,816
13,318

Pie of Pie

Golf

Equipment Purchases

by

Age

&

Gender US Population Age

2016

2016

2015 2014 2013 Under 14 19.80% 3.00% 1.00%

3.00%

2.00% 14-17 5.70% 7.00% 4.00%

7.00% 3.00%
18-24 9.70% 6.00%

6.00%

5.00%

2.00%
25-34 13.50% 22.00% 14.00% 1

8.00% 15.00% 35-44 16.20% 1

9.00% 18.00% 21.00% 23.00% 45-64 22.40% 32.00% 45.00% 33.00% 40.00% 65 & Older 12.70% 11.00% 12.00% 13.00%

15.00%
Total 100.00%

100.00% 100.00% 100.00% 100.00%
Gender
Male 48.90% 88.00%

88.00%

79.00% 89.00% Female 51.10%

12.00% 12.00% 21.00% 11.00%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

FNU

-1

Purchases by Sport

2016 2015 2014
Golf

Consumer Equipment Purchases by Sport (in millions)
Exercise $4,992.21 $4,885.58 $4,400.11
$3,716.73 $3,779.42 $4,380.25
Team Goods $2,835.45 $2,882.88 $2,856.28
Fishing Tackle $2,265.21 $2,320.54 $2,357.26
Camping $1,649.61 $1,645.61 $1,590.48
Optics $992.97 $991.99 $934.37
Billiards & Indoor Games $678.69 $678.54 $649.88
Skiing, Downhill $657.09 $662.12 $635.04
Wheel Sports & Pogo Sticks $581.49 $623.52 $871.45
Tennis $508.05 $515.93 $474.95
Skin Diving & Scuba Gear $438.93 $443.06 $449.62
Basketball $427.05 $434.08 $396.30
Baseball & Softball $415.17 $415.33 $413.92
Archery $382.77 $382.72 $368.52
Skiing, Snowboards $347.13 $347.68 $333.49
Bowling $267.21 $267.48 $248.03
Hockey & Ice Skates $258.57 $259.50 $229.40
Football $167.85 $175.87 $160.56
Soccer Balls $146.25 $145.36 $137.25
Water Skis $139.77 $140.93 $126.98
Skiing, Cross-country $116.01 $117.41 $102.55
Volleyball & Badminton Sets $110.61 $111.87 $96.97
Racquetball $105.21 $107.76 $92.95
Total $22,200.00 $22,335.20 $22,306.60

Footwear Purchases

Age US Population
2016 2016 2015 2014 2013
Under 14 19.80%

31.00%

14-17 5.70% 6.00% 6.00% 6.00% 6.00%
18-24 9.70% 9.00% 8.00% 9.00% 9.00%
25-34 13.50% 15.00% 12.00% 12.00% 12.00%
35-44 16.20% 14.00% 15.00% 15.00% 15.00%
45-64 22.40%

23.00% 22.00%

65 & Older 12.70% 6.00% 9.00% 8.00% 7.00%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Gender

Male 48.90%

47.10%

Female 51.10%

52.90%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Footwear Purchases by Age & Gender
31.00% 27.00% 28.00%
19.00% 20.00%
46.90% 46.20% 47.10%
53.10% 53.80% 52.90%

Camping Purchases

Age US Population
2016 2016 2015 2014 2013

Under 14 19.80%

17.00% 17.00%

14-17 5.70% 11.00% 11.00% 11.00%

18-24 9.70% 9.00% 9.00% 10.00% 10.00%
25-34 13.50% 22.00% 19.00% 20.00% 20.00%
35-44 16.20% 21.00% 20.00% 19.00% 18.00%
45-64 22.40% 16.00% 22.00% 20.00% 21.00%
65 & Older 12.70% 4.00% 3.00% 3.00% 4.00%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Gender

Male 48.90%

Female 51.10%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Camping Equipment Purchases by Age & Gender
17.00% 16.00%
10.00%
63.00% 62.50% 65.50% 66.50%
37.00% 37.50% 34.50% 33.50%

Fitness Purchases

Age US Population
2016 2016 2015 2014 2013

Under 14 19.80% 1.00% 1.00% 1.00% 1.00%
14-17 5.70% 5.00% 4.00% 5.00% 6.00%
18-24 9.70% 4.00% 4.00% 2.00% 2.00%
25-34 13.50% 22.00% 21.00% 20.00% 21.00%
35-44 16.20% 32.00%

23.00% 23.00%

45-64 22.40%

65 & Older 12.70% 7.00% 8.00% 8.00% 11.00%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Gender

Male 48.90%

44.00%

Female 51.10%

56.00%

Total 100.00% 100.00% 100.00% 100.00% 100.00%

Fitness Equipment Purchases by Age & Gender
24.00%
29.00% 38.00% 41.00% 36.00%
43.50% 44.00% 41.50%
56.50% 56.00% 58.50%

Golf Equipment Purchases

US Population
Age 2016 2016 2015 2014 2013
Under 14 19.80% 3.00% 1.00% 3.00% 2.00%
14-17 5.70% 7.00% 4.00% 7.00% 3.00%
18-24 9.70% 6.00% 6.00% 5.00% 2.00%
25-34 13.50% 22.00% 14.00% 18.00% 15.00%
35-44 16.20% 19.00% 18.00% 21.00% 23.00%
45-64 22.40% 32.00% 45.00% 33.00% 40.00%
65 & Older 12.70% 11.00% 12.00% 13.00% 15.00%
Total 100.00% 100.00% 100.00% 100.00% 100.00%

Gender
Male 48.90% 88.00% 88.00% 79.00% 89.00%
Female 51.10% 12.00% 12.00% 21.00% 11.00%
Total 100.00% 100.00% 100.00% 100.00% 100.00%

FNU
Golf Equipment Purchases by Age & Gender

2017

Participation

Participation

Total

Walking

(vacation/overnight)

76

(touch)

(target)

3.420

2017 Participation – Ranked by

Total
Participated more than once (in millions)
Seven (7) years of age and older
Sport
Exercise 86.776
Camping 6

5.832
Swimming 56.076
Exercising with Equipment 55.216
Fishing 54.412
Bowling 40.712
Bicycle Riding 40.124
Billiards/Pool 38.736
Hiking 34.728
Aerobic Exercising 33.320
Basketball 32.564
Golf 30.940
Weight Lifting 29.304
Boating, Motor/Power 25.348
Running/Jogging 24.848
Roller Skating (in-line) 22.212
Dart Throwing 21.6
Baseball 18.688
Backpack/Wilderness Camp 17.524
Mountain Biking (on road) 16.452
Soccer 15.740
Softball 14.992
Scooter Riding 14.980
Volleyball 14.660
Tennis 13.668
Football 1

3.420
Skateboarding 13.124
Mountain Biking (off-road) 10.472
Canoeing 10.376
Skiing (alpine) 9.550
Football (tackle) 9.536
T’ai Chi/Yoga 9.424
Paintball Games 8.670
Water Skiing 8.330
Snowboarding 6.880
Martial Arts 4.208
Archery 3.536
Skiing (cross-country) 3.476
Hockey (ice)
FNU-1

10-Year Participation

Participated more than once (in millions)
Seven (7) years of age and older

Sport

2017

Aerobic Exercising

Archery (target)

5.832

Backpack/Wilderness Camp

Baseball

16.848

16.308

Basketball

30.456

Bicycle Riding

4

Billiards/Pool

Boating, Motor/Power

Bowling

46.548

Camping (vacation/overnight)

46.332

4

Canoeing

Dart Throwing

Exercise Walking

Exercising with Equipment

Fishing

Football (tackle)

9.72

Football (touch)

10.584

Golf

28.512

Hiking

Hockey (ice)

2.268 2.268 2.052

Martial Arts 4.536 5.832

5.184 5.076

Mountain Biking (off-road)

7.668

5.94

44

16.524

9.72 8.64

Paintball Games

5.724 5.4

Roller Skating (in-line) 20.304

10.476

Running/Jogging

Scooter Riding

12.528

10.8

9.72

Skateboarding 10.476

5.076

5.94

Skiing (alpine) 7.992 7.992

11.664

Skiing (cross-country)

3.78

Snowboarding

3.888

2.268

Soccer

11.448

Softball

16.848

Swimming

T’ai Chi/Yoga 7.668 7.668

Tennis 11.88 10.8

12.42 12.528

Volleyball 12.42 13.284 15.984 19.98 18.792

Water Skiing 7.452

7.776 7.992 7.992

Weight Lifting

24.624

22.464

Ten-Year History of Selected Sports Participation
2007 2009 2011 2013 2015
31.32 28.836 27.864 26.028 25.056 30.024
4.536 4.86 5.184 5.724 5.94
16.74 16.632 15.768 12.42 10.584 10.476
16.848 17.172 15.984 16.308
31.212 29.268 31.752 34.344 30.456
44.712 46.548 46.98 57.564 5

3.78 58.968
38.124 35.1 34.884 37.26 36.72 31.644
28.728 26.136 27.756 31.104 28.512 24.084
47.412 43.308 46.332 40.392 45.9
59.832 53.892 50.22 48.276 5

1.08
8.208 6.696 7.668 9.072 9.18 7.776
19.98 18.792 22.464 23.004 22.896 20.304
88.776 87.804 83.808 79.164 76.464 73.224
54.216 48.384 49.788 51.624 47.304 42.552
47.736 50.976 47.088 49.248 49.356 51.408
7.992 8.64 8.748 9.72 10.8
11.124 11.664 12.528 12.96 13.284
30.564 29.7 24.948 26.568 25.92
32.94 26.244 29.376 28.62 27.324 23.328
2.268 2.052 1.728
4.968 5.076
8.424 9.288 7.884 6.156
Mountain Biking (on road) 16.524 1

5.4 14.364
7.452 4.32 3.996 3.24
23.544 29.16 27.54 21.06
26.676 24.624 24.3 23.976 22.248 23.652
14.472 11.88 10.26
9.828 6.264 5.292
8.316 11.34 11.448
2.376 2.484 2.808 3.672 3.888
6.048 4.644 3.348 1.296
15.66 13.932 14.256 15.012 13.5
14.688 15.12 21.492 19.548 20.736
59.076 63.504 62.856 65.016 65.124 68.148
7.128 7.02 6.804 6.48
12.096 18.684
23.868
6.372 8.532
30.348 22.68 21.708 20.52

Female Sports Participation

Participated more than once (in millions)
Seven (7) years of age and older

Sport

Female

Hockey (ice)

Martial Arts

1.944

Mountain Biking (off-road)

2.808

Canoeing

48.82%

Running/Jogging

9.72

Softball

7.992

Hiking

Baseball

Volleyball 6.696

9.828

Water Skiing

Basketball

Camping (vacation/overnight) 28.836

Billiards/Pool

Bowling 23.22

22.896

1.13%

Roller Skating (in-line) 10.584

14.472

Boating, Motor/Power 12.528

12.42

Mountain Biking (on road) 7.128

7.236

Bicycle Riding

Swimming

Exercising with Equipment 29.268

27.756

Football (tackle)

Football (touch) 2.376

2.7

-0.38%

Tennis 5.184

5.184

Exercise Walking

Fishing

16.524

Backpack/Wilderness Camp 6.48

5.076

-1.14%

Snowboarding

Golf 6.264

6.048

Soccer 5.94

5.724

Skateboarding 2.052

1.404

Dart Throwing 7.452

9.072 45.54%

Skiing (alpine) 3.132

3.996 48.13%

Aerobic Exercising 23.004

21.6

Archery (target) 1.08

1.404

Skiing (cross-country) 1.08

1.404

-4.38%

Female Sports Participation: 2017 vs 2011
Ranked by difference in percent
2017

Total 2017 Percent Female 2011 Total Female 2011 Percent Female Percent Difference
0.54 26.04% 0.324 17.89% 8.15%
1.944 48.82% 42.51% 6.31%
3.132 43.10% 37.22% 5.88%
3.564 2.916 44.56% 4.26%
12.312 52.28% 48.13% 4.15%
7.236 55.95% 51.91% 4.04%
16.416 56.17% 14.04 52.56% 3.61%
4.428 30.90% 3.456 27.50% 3.40%
61.46% 58.39% 3.07%
3.024 47.10% 2.7 44.35% 2.75%
10.368 38.24% 10.152 36.36% 1.88%
54.55% 23.22 52.99% 1.56%
14.796 44.72% 14.904 43.59% 1.13%
55.41% 54.28%
58.76% 57.85% 0.91%
49.69% 48.88% 0.80%
49.04% 48.45% 0.59%
20.412 51.96% 21.816 51.58% 0.37%
31.536 60.27% 34.02 60.22% 0.05%
60.92% 61.20% -0.28%
0.756 13.08% 0.864 13.46% -0.38%
25.28% 25.66%
49.58% 50.29% -0.71%
55.728 70.42% 51.948 71.35% -0.92%
16.2 39.10% 40.24% -1.14%
44.50% 45.64%
1.404 27.44% 0.648 28.69% -1.25%
24.96% 26.42% -1.46%
43.42% 45.54% -2.11%
23.66% 25.99% -2.33%
42.67% -2.87%
45.04% -3.08%
81.66% 85.60% -3.95%
27.55% 31.93% -4.38%
52.82% 57.20%

Consumer Equipment Purchases

2015

Exercise

Golf

Camping

Tennis

Basketball

Archery

Bowling

Football

Total

Consumer Equipment Purchases by Sport (in millions)
2016 2014
$4,992.21 $4,885.58 $4,400.11
$3,716.73 $3,779.42 $4,380.25
Team Goods $2,835.45 $2,882.88 $2,856.28
Fishing Tackle $2,265.21 $2,320.54 $2,357.26
$1,649.61 $1,645.61 $1,590.48
Optics $992.97 $991.99 $934.37
Billiards & Indoor Games $678.69 $678.54 $649.88
Skiing, Downhill $657.09 $662.12 $635.04
Wheel Sports & Pogo Sticks $581.49 $623.52 $871.45
$508.05 $515.93 $474.95
Skin Diving & Scuba Gear $438.93 $443.06 $449.62
$427.05 $434.08 $396.30
Baseball & Softball $415.17 $415.33 $413.92
$382.77 $382.72 $368.52
Skiing, Snowboards $347.13 $347.68 $333.49
$267.21 $267.48 $248.03
Hockey & Ice Skates $258.57 $259.50 $229.40
$167.85 $175.87 $160.56
Soccer Balls $146.25 $145.36 $137.25
Water Skis $139.77 $140.93 $126.98
Skiing, Cross-Country $116.01 $117.41 $102.55
Volleyball & Badminton Sets $110.61 $111.87 $96.97
Racquetball $105.21 $107.76 $92.95
$22,200.00 $22,335.20 $22,306.60

Figure

3

.

1 8

Consumer Purchases

by Category

Sales in millions of dollars 2

00

9 20

10 20

11 20

12 2013

201

4

201

5

201

6 Equipment 18,9

7

1 19,033 19,170 20,319 19,439 16,196 15,224 13,320 Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779

A

pparel

11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269 Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases

2012 Equipment Footwear

Apparel

20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030

2014

Equipment Footwear Apparel 16196 11742 9195

2015

Equipment Footwear Apparel 15224 16928 12971

2016

Equipment Footwear Apparel 13320 18779 15269

2009

Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845

Sporting Goods

(in millions)

Consumer Purchases

Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269

Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Figure 3.19

Consumer Purchases by Category Sales in millions of dollars
2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269

Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

Consumer Purchases
2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipment Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269 2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 12845 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Consumer Purchases
Equipment 2012 2013 2014 2015 2016 20319 19439 16196 15224 13320 Footwear 2012 2013 2014 2015 2016 12546 13026 11742 16928 18779 Apparel 2012 2013 2014 2015 2016 10307 11030 9195 12971 15269 Sporting Goods

(in millions)

Figure 3.20

Consumer Equipment Purchases by Sport (in millions) 2016 2015 2014
Archery $382.77 $372.66 $356.74

B

aseball & Softball

$415.17 $404.41 $400.70 Basketball $427.05 $422.67 $383.64 Billiards & Indoor Games $678.69 $660.70 $629.12 Bowling $267.21 $260.45 $240.10 Camping $1,649.61 $1,602.35 $1,539.67 Exercise $4,992.21 $4,757.14 $4,259.54 Fishing Tackle $2,265.21 $2,259.53 $2,281.95 Football $167.85 $171.24 $155.43 Golf $3,7

16.73 $3,680.05 $4,240.32 Hockey & Ice Skates $258.57 $252.67 $222.07 Optics $992.97 $965.91 $904.52 Racquetball $105.21 $104.93 $89.98 Skiing, Cross-Country $1

16.01 $114.33 $99.27 Skiing, Downhill $657.09 $644.71 $614.76 Skiing, Snowboards $347.13 $338.53 $3

22.83 Skin Diving & Scuba Gear $438.93 $431.41 $435.26 Soccer Balls $146.25 $141.54 $132.86 Team Goods $2,835.45 $2,807.09 $2,765.04 Tennis $508.05 $502.37 $459.78 Volleyball & Badminton Sets $110.61 $108.93 $93.87 Water Skis $139.77 $137.22 $122.92 Wheel Sports & Pogo Sticks $581.49 $607.13 $843.61 Total $22,200.00 $21,748.00 $21,594.00

2016

Archery Baseball & Softball Basketball Billiards & Indoor Games Bowling Camping Exercise Fishing Tackle Football Golf Hockey & Ice Skates Optics Racquetball Skiing, Cross-Country Skiing, Downhill Skiing, Snowboards Skin Diving & Scuba Gear Soccer Balls Team Goods Tennis Volleyball & Badminton Sets Water Skis Wheel Sports & Pogo Sticks 382.76869565217385 415.16869565217382 427.04869565217382 678.68869565217392 267.2086956521739 1649.608695652174 4992.2086956521734 2265.2086956521734 167.84869565217386 37

16.72

86956521739 258.56869565217386 992.96869565217389 105.20869565217386 1

16.00

869565217386 657.0886956521739 347.12869565217386 438.92869565217381 146.24869565217386 2835.4486956521737 508.04869565217382 110.60869565217386 139.76869565217385 581.48869565217387

Figure 3.21

Consumer Equipment Purchases by Sport (in millions)
2016 2015 2014
Exercise $4,992.21 $4,757.14 $4,259.54
Golf $3,716.73 $3,680.05 $4,240.32
Team Goods $2,835.45 $2,807.09 $2,765.04
Fishing Tackle $2,265.21 $2,259.53 $2,281.95
Camping $1,649.61 $1,602.35 $1,539.67
Optics $992.97 $965.91 $904.52
Billiards & Indoor Games $678.69 $660.70 $629.12
Skiing, Downhill $657.09 $644.71 $614.76
Wheel Sports & Pogo Sticks $581.49 $607.13 $843.61
Tennis $508.05 $502.37 $459.78
Skin Diving & Scuba Gear $438.93 $431.41 $435.26
Basketball $427.05 $422.67 $383.64

$415.17 $404.41 $400.70

Archery $382.77 $372.66 $356.74
Skiing, Snowboards $347.13 $338.53 $322.83
Bowling $267.21 $260.45 $240.10
Hockey & Ice Skates $258.57 $252.67 $222.07
Football $167.85 $171.24 $155.43
Soccer Balls $146.25 $141.54 $132.86
Water Skis $139.77 $137.22 $122.92
Skiing, Cross-Country $116.01 $114.33 $99.27
Volleyball & Badminton Sets $110.61 $108.93 $93.87
Racquetball $105.21 $104.93 $89.98

Total $22,200.00 $21,748.00 $21,594.00

Baseball & Softball

2016 Exercise Golf Team Goods Fishing Tackle Camping Optics Billiards & Indoor Games Skiing, Downhill Wheel Sports & Pogo Sticks Tennis Skin Diving & Scuba Gear Basketball Baseball & Softball Archery Skiing, Snowboards Bowling Hockey & Ice Skates Football Soccer Balls Water Skis Skiing, Cross-Country Volleyball & Badminton Sets Racquetball 4992.2086956521734 3716.7286956521739 2835.4486956521737 2265.2086956521734 1649.608695652174 992.96869565217389 678.68869565217392 657.0886956521739 581.48869565217387 508.04869565217382 438.92869565217381 427.04869565217382 415.16869565217382 382.76869565217385 347.12869565217386 267.2086956521739 258.56869565217386 167.84869565217386 146.24869565217386 139.76869565217385 116.00869565217386 110.60869565217386 105.20869565217386

Figure 3.22

Consumer Equipment Purchases by Sport (in millions)
2016 2015 2014
Exercise $4,992.21 $4,757.14 $4,259.54
Golf $3,716.73 $3,680.05 $4,240.32
Team Goods $2,835.45 $2,807.09 $2,765.04
Fishing Tackle $2,265.21 $2,259.53 $2,281.95
Camping $1,649.61 $1,602.35 $1,539.67
Optics $992.97 $965.91 $904.52
Billiards & Indoor Games $678.69 $660.70 $629.12
Skiing, Downhill $657.09 $644.71 $614.76
Wheel Sports & Pogo Sticks $581.49 $607.13 $843.61
Tennis $508.05 $502.37 $459.78
Skin Diving & Scuba Gear $438.93 $431.41 $435.26
Basketball $427.05 $422.67 $383.64
Baseball & Softball $415.17 $404.41 $400.70
Archery $382.77 $372.66 $356.74
Skiing, Snowboards $347.13 $338.53 $322.83
Bowling $267.21 $260.45 $240.10
Hockey & Ice Skates $258.57 $252.67 $222.07
Football $167.85 $171.24 $155.43
Soccer Balls $146.25 $141.54 $132.86
Water Skis $139.77 $137.22 $122.92
Skiing, Cross-Country $116.01 $114.33 $99.27
Volleyball & Badminton Sets $110.61 $108.93 $93.87
Racquetball $105.21 $104.93 $89.98

Total $22,200.00 $21,748.00 $21,594.00

2016 Exercise Golf Team Goods Fishing Tackle Camping Optics Billiards & Indoor Games Skiing, Downhill Wheel Sports & Pogo Sticks Tennis Skin Diving & Scuba Gear Basketball Baseball & Softball Archery Skiing, Snowboards Bowling Hockey & Ice Skates Football Soccer Balls Water Skis Skiing, Cross-Country Volleyball & Badminton Sets Racquetball 4992.2086956521734 3716.7286956521739 2835.4486956521737 2265.2086956521734 1649.608695652174 992.96869565217389 678.68869565217392 657.0886956521739 581.48869565217387 508.04869565217382 438.92869565217381 427.04869565217382 415.16869565217382 382.76869565217385 347.12869565217386 267.2086956521739 258.56869565217386 167.84869565217386 146.24869565217386 139.76869565217385 116.00869565217386 110.60869565217386 105.20869565217386

Figure 3.23

Consumer Equipment Purchases by Sport (in millions)
2016 2015 2014
Exercise $4,992.21 $4,757.14 $4,259.54
Golf $3,716.73 $3,680.05 $4,240.32
Team Goods $2,835.45 $2,807.09 $2,765.04
Fishing Tackle $2,265.21 $2,259.53 $2,281.95
Camping $1,649.61 $1,602.35 $1,539.67
Optics $992.97 $965.91 $904.52
Billiards & Indoor Games $678.69 $660.70 $629.12
Skiing, Downhill $657.09 $644.71 $614.76
Wheel Sports & Pogo Sticks $581.49 $607.13 $843.61
Tennis $508.05 $502.37 $459.78
Skin Diving & Scuba Gear $438.93 $431.41 $435.26
Basketball $427.05 $422.67 $383.64
Baseball & Softball $415.17 $404.41 $400.70
Archery $382.77 $372.66 $356.74
Skiing, Snowboards $347.13 $338.53 $322.83
Bowling $267.21 $260.45 $240.10
Hockey & Ice Skates $258.57 $252.67 $222.07
Football $167.85 $171.24 $155.43
Soccer Balls $146.25 $141.54 $132.86
Water Skis $139.77 $137.22 $122.92
Skiing, Cross-Country $116.01 $114.33 $99.27
Volleyball & Badminton Sets $110.61 $108.93 $93.87
Racquetball $105.21 $104.93 $89.98

Total $22,200.00 $21,748.00 $21,594.00

Consumer Purchases by Sport

2016 Exercise Golf Team Goods Fishing Tackle Camping Optics Billiards & Indoor Games Skiing, Downhill Wheel Sports & Pogo Sticks Tennis Skin Diving & Scuba Gear Basketball Baseball & Softball Archery Skiing, Snowboards Bowling Hockey & Ice Skates Football Soccer Balls Water Skis Skiing, Cross-Country Volleyball & Badminton Sets Racquetball 4992.2086956521734 3716.7286956521739 2835.4486956521737 2265.2086956521734 1649.608695652174 992.96869565217389 678.68869565217392 657.0886956521739 581.48869565217387 508.04869565217382 438.92869565217381 427.04869565217382 415.16869565217382 382.76869565217385 347.12869565217386 267.2086956521739 258.56869565217386 167.84869565217386 146.24869565217386 139.76869565217385 116.00869565217386 110.60869565217386 105.20869565217386

Figure 3.24

Consumer Equipment Purchases by Sport (in millions)
2016 2015 2014
Exercise $4,992.21 $4,757.14 $4,259.54
Golf $3,716.73 $3,680.05 $4,240.32
Team Goods $2,835.45 $2,807.09 $2,765.04
Fishing Tackle $2,265.21 $2,259.53 $2,281.95
Camping $1,649.61 $1,602.35 $1,539.67
Optics $992.97 $965.91 $904.52
Billiards & Indoor Games $678.69 $660.70 $629.12
Skiing, Downhill $657.09 $644.71 $614.76
Wheel Sports & Pogo Sticks $581.49 $607.13 $843.61
Tennis $508.05 $502.37 $459.78
Skin Diving & Scuba Gear $438.93 $431.41 $435.26
Basketball $427.05 $422.67 $383.64
Baseball & Softball $415.17 $404.41 $400.70
Archery $382.77 $372.66 $356.74
Skiing, Snowboards $347.13 $338.53 $322.83
Bowling $267.21 $260.45 $240.10
Hockey & Ice Skates $258.57 $252.67 $222.07
Football $167.85 $171.24 $155.43
Soccer Balls $146.25 $141.54 $132.86
Water Skis $139.77 $137.22 $122.92
Skiing, Cross-Country $116.01 $114.33 $99.27
Volleyball & Badminton Sets $110.61 $108.93 $93.87
Racquetball $105.21 $104.93 $89.98

Total $22,200.00 $21,748.00 $21,594.00

Consumer Purchases by Sport
2016

Exercise Golf Team Goods Fishing Tackle Camping Optics Billiards & Indoor Games Skiing, Downhill Wheel Sports & Pogo Sticks Tennis Skin Diving & Scuba Gear Basketball Baseball & Softball Archery Skiing, Snowboards Bowling Hockey & Ice Skates Football Soccer Balls Water Skis Skiing, Cross-Country Volleyball & Badminton Sets Racquetball 4992.2086956521734 3716.7286956521739 2835.4486956521737 2265.2086956521734 1649.608695652174 992.96869565217389 678.68869565217392 657.0886956521739 581.48869565217387 508.04869565217382 438.92869565217381 427.04869565217382 415.16869565217382 382.76869565217385 347.12869565217386 267.2086956521739 258.56869565217386 167.84869565217386 146.24869565217386 139.76869565217385 116.00869565217386 110.60869565217386 105.20869565217386

Figure 3.25

Consumer Purchases by Category

Sales in millions of dollars

2009 2010 2011 2012 2013 2014 2015 2016
Equipment 18,971 19,033 19,170 20,319 19,439 16,196 15,224 13,320
Footwear 12,816 13,318 13,068 12,546 13,026 11,742 16,928 18,779
Apparel 11,127 12,035 12,845 10,307 11,030 9,195 12,971 15,269
Total 42,914 44,387 45,083 43,196 45,655 45,625 45,835 46,824

2016 Consumer Purchases

Equipment Footwear Apparel 13320 18779 15269

2009 – 2016 Consumer Purchases

Equipment 2009 2010 2011 2012 2013 2014 2015 2016 18971 19033 19170 20319 19439 16196 15224 13320 Footwear 2009 2010 2011 2012 2013 2014 2015 2016 12816 13318 13068 12546 13026 11742 16928 18779 Apparel 2009 2010 2011 2012 2013 2014 2015 2016 11127 12035 12845 10307 11030 9195 12971 15269

2009 – 2016 Consumer Purchases

2009 Equipment Footwear Apparel 18971 12816 11127 2010 Equipment Footwear Apparel 19033 13318 12035 2011 Equipment Footwear Apparel 19170 13068 1284 5 2012 Equipment Footwear Apparel 20319 12546 10307 2013 Equipment Footwear Apparel 19439 13026 11030 2014 Equipmen t Footwear Apparel 16196 11742 9195 2015 Equipment Footwear Apparel 15224 16928 12971 2016 Equipment Footwear Apparel 13320 18779 15269

Figure 3.26

24.96

26.05

25.68

26.46 25.55 25.95

26.15 25.62 25.63

26.05 25.68 25.86

25.90 24.96 24.96

25.20

Date High Low Close
4-

Apr-16 26.46 25.55 25.95
5-Apr-16 26.15 25.62 25.63
6-Apr-16 26.05 25.68 25.86
7-Apr-16 25.90 24.96
8-Apr-16 25.36 24.14 25.35
1

1-Apr-16 26.47 25.15 25.94
12-Apr-16 25.72 25.80
13-Apr-16 26.03 25.91
1

4-Apr-16
15-Apr-16
18-Apr-16
19-Apr-16
20-Apr-16 25.05 24.77 25.00
21-Apr-16 25.03 24.54 24.64
22-Apr-16 25.20 24.55

TheZone High-Low-Close

High 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 26.46 26.15 26.05 25.9 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.05 25.03 25.2 Low 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.55 25.62 25.68 24.96 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.77 24.54 24.55 Close 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2

Figure 3.27

Date

High Low Close

4-Apr-16 26.05 26.46 25.55 25.95
5-Apr-16 26.15 26.15 25.62 25.63
6-Apr-16

26.05 25.68 25.86

7-Apr-16 25.90 25.90 24.96 24.96
8-Apr-16 24.14 25.36 24.14 25.35

25.15 26.47 25.15 25.94

12-Apr-16 25.95 26.05 25.72 25.80
13-Apr-16 25.80 26.03 25.68 25.91

26.05 26.46 25.55 25.95

15-Apr-16 26.15 26.15 25.62 25.63
18-Apr-16 25.78 26.05 25.68 25.86
19-Apr-16 25.90 25.90 24.96 24.96
20-Apr-16 25.00 25.05 24.77 25.00
21-Apr-16 25.03 25.03 24.54 24.64
22-Apr-16

25.20 24.55 25.20

Open
25.78
11-Apr-16
14-Apr-16
24.75

TheZone Open-High-Low-Close

Open 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 26.05 26.15 25.78 25.9 24.14 25.15 25.95 25.8 26.05 26.15 25.78 25.9 25 25.03 24.75 High 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 26.46 26.15 26.05 25.9 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.05 25.03 25.2 Low 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.55 25.62 25.68 24.96 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.77 24.54 24.55 Close 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2

Figure 3.28

Date

High Low Close

4-Apr-16

26.46 25.55 25.95

5-Apr-16

26.15 25.62 25.63

6-Apr-16

26.05 25.68 25.86

7-Apr-16

25.90 24.96 24.96

8-Apr-16

25.36 24.14 25.35

11-Apr-16

26.47 25.15 25.94

12-Apr-16

26.05 25.72 25.80

13-Apr-16

26.03 25.68 25.91

14-Apr-16 126000 26.46 25.55 25.95
15-Apr-16 50000 26.15 25.62 25.63
18-Apr-16 32800 26.05 25.68 25.86
19-Apr-16 64300 25.90 24.96 24.96
20-Apr-16

25.05 24.77 25.00

21-Apr-16

25.03 24.54 24.64

22-Apr-16

25.20 24.55 25.20

Volume
126000
50000
32800
64300
246400
152600
62700
138200
42800
108300
96500

TheZone Volume-High-Low-Close

Volume 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 126000 50000 32800 64300 246400 152600 62700 138200 126000 50000 32800 64300 42800 108300 96500 High 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 26.46 26.15 26.05 25.9 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.05 25.03 25.2 Low 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.55 25.62 25.68 24.96 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.77 24.54 24.55 Close 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2

Figure 3.29

Date Volume High Low Close
4-Apr-16 126000 26.46 25.55 25.95
5-Apr-16 50000 26.15 25.62 25.63
6-Apr-16 32800 26.05 25.68 25.86
7-Apr-16 64300 25.90 24.96 24.96
8-Apr-16 246400 25.36 24.14 25.35
11-Apr-16 152600 26.47 25.15 25.94
12-Apr-16 62700 26.05 25.72 25.80
13-Apr-16 138200 26.03 25.68 25.91
14-Apr-16 126000 26.46 25.55 25.95
15-Apr-16 50000 26.15 25.62 25.63
18-Apr-16 32800 26.05 25.68 25.86
19-Apr-16 64300 25.90 24.96 24.96
20-Apr-16 42800 25.05 24.77 25.00
21-Apr-16 108300 25.03 24.54 24.64
22-Apr-16 96500 25.20 24.55 25.20

TheZone Volume-High-Low-Close
Volume 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 126000 50000 32800 64300 246400 152600 62700 138200 126000 50000 32800 64300 42800 108300 96500 High 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 26.46 26.15 26.05 25.9 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.05 25.03 25.2 Low 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.55 25.62 25.68 24.96 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.77 24.54 24.55 Close 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2

Figure 3.30

Date Volume Open High Low Close

16.65

16.45

16.95

16.95

16.73

16.86

16.72

16.62 16.86 16.61

16.99

16.90

16.88 16.95

16.85

16.75 16.75

16.75 16.99 16.75 16.92

17.22

16.83

17.22 16.64

16.76

16.70

17.09 16.73 16.83

16.90 17.00

16.75

16.80

17.50

16.80

16.90

16.90

17.30 17.30 17.13 17.20

17.30 17.40

17.45 17.13 17.40

17.50

17.50 18.24

17.60

78600 17.85

17.60

17.60

17.45

17.70 17.70 17.45 17.50

17.00 17.10

17.30 16.55

16.00

16.00

15.80

15.97

15.97

16.00

15.80

15.80 16.01

16.00

15.97 16.01

15.65 16.00 15.65

15.78 15.90

15.40 15.98

16.00 15.50

15.50

15.70

15.70

15.65

15.65 16.00

16.05 16.05

15.99 16.55 15.90

16.01

16.00 16.40 15.91 16.15

15.80

16.75 16.23 16.55

16.45

16.01

16.02 16.65

16.45 16.80

16.27 16.45

16.70

16.54 16.54 15.95 16.45

16.30

16.00 16.42

16.40 16.64 16.05 16.56

16.81 17.67 16.81

17.45 17.58 16.70

17.29

16.95 17.20

16.82 17.30

17.40 17.40

17.13

17.10 17.45 16.70 17.40

17.35

17.10 17.30

16.00 17.00 15.80 16.90

17.00 17.72 16.73 17.10

17.15

16.95 16.95

16.85 16.98 16.45 16.90

16.90 16.99 16.88

16.84 17.15

17.15 17.58 17.15 17.24

17.26 17.45

17.45 17.70 17.35 17.70

17.80

17.80

18.24

17.80

17.70

17.70

17.65

17.70

17.29

63900 17.25 17.90 17.25

17.40 17.85 17.36

17.58 17.65 17.25

17.52 17.52

17.36

17.55 17.25 17.54

17.54

17.20 18.02

17.33 17.50

17.40 17.60

17.34

17.30 17.34 16.85 16.85

15.25 16.19

15.95 16.00 15.82

15.85 15.90

15.80

15.65

15.56

15.90 16.33

16.00

90400 16.00 16.37 16.00

16.94 16.17 16.76

16.73 16.25 16.70

16.75 17.05 16.75 16.94

16.90 17.00

16.80

16.65 16.84

16.71

16.70 16.88 16.70 16.71

16.71 16.95 16.70 16.70

16.70 16.94 16.65

16.70 16.76 16.40 16.70

16.70 16.84 16.50 16.83

16.83 16.88

16.88

16.80 17.15 16.80 17.10

17.10 17.10 17.00 17.10

17.10 17.29 17.05 17.25

17.20 17.35 17.10 17.35

17.25

17.19 17.44

72100

17.39

17.35

17.35 17.50 17.30 17.50

17.40 17.50 17.17 17.44

17.44 17.50 17.25 17.50

17.50 17.60 17.35 17.56

17.56 17.70

17.56

17.56 17.65 17.50

17.62 17.62 17.44

17.55 17.59 17.25 17.39

17.42 17.45 17.17 17.29

17.19 17.39 17.00 17.00

17.00 17.14

17.01

17.01 17.10 17.00 17.00

17.35 17.00 17.33

17.30

17.20 17.75

17.50

17.39 17.55

17.59

17.55 18.00

17.85

17.70 17.75

17.55

17.55

17.75 18.00 17.75 17.80

17.82 17.40

39700 17.70

17.39 17.74

17.75

17.38 17.63

17.60 17.60

17.03

17.03

17.03 17.26

17.30 17.60 17.20 17.60

17.60 17.60 17.00 17.00

17.00 17.40 16.99 17.19

17.22 17.22 16.90 16.95

17.05 17.36 16.90 17.02

17.02 17.20 16.98 17.20

17.15 17.25 17.00 17.09

17.15 17.25 17.00 17.25

17.25 17.40 17.00 17.20

17.25 17.41

17.15

17.15 18.10 16.81

17.55 17.70 17.52 17.60

17.50

17.50 17.70

17.80

18.00

17.95

18.10

18.10

18.00 18.24

18.24

220200 18.36

18.36 19.02

18.94

19.95

19.85

19.95

19.40

19.38

20.05

19.53 20.05

20.10

20.10

20.10

20.80

14100

20.77

20.56

67800

86100 20.45 20.80 20.45

20.50

21.15

20.95

20.95 21.40

21.40

21.45

21.50

21.15 21.15

22.46

22.83

22.85

22.81

23.00

23.65

23.35 22.85

23.35

21.10

83800 21.90 22.30

21.30 21.80

21.80

21.45

21.40

21.30 21.40

72100 21.20 21.85 21.15

21.60

43500 21.60 21.70

21.55 21.79

21.70 21.70 21.06 21.30

20.93

21.20

21.20

21.60 21.80 21.19 21.40

21.40

63100 21.19 21.19

20.70

20.60 21.09

20.80

20.85 21.28 20.70 20.99

21.00 22.33

22.33 22.85 22.33

22.85

22.38

22.40

23.10

23.05

23.00

23.00

23.54

83800 23.48

87700 23.90

23.80

23.54

23.25 23.45

63800 23.45 23.95 23.35 23.94

77200 23.90 23.90

23.40

96000 23.55

23.25

23.37

23.37 23.62

23.65 23.65

82400 23.60 23.60 23.00

23.25 23.62

23.47 23.00 23.10

23.20

23.05 23.25

87000 23.35

23.32

23.11 23.80

23.84

24.15

23.90 23.94

246400 24.14 25.36 24.14 25.35

152600 25.15 26.47 25.15 25.94

62700 25.95 26.05 25.72 25.80

1-Apr-16 138200 25.80 26.03 25.68 25.91
4-Apr-16 126000 26.05 26.46 25.55 25.95
5-Apr-16 50000 26.15 26.15 25.62 25.63
6-Apr-16 32800 25.78 26.05 25.68 25.86
7-Apr-16 64300 25.90 25.90 24.96 24.96
8-Apr-16 246400 24.14 25.36 24.14 25.35
11-Apr-16 152600 25.15 26.47 25.15 25.94
12-Apr-16 62700 25.95 26.05 25.72 25.80
13-Apr-16 138200 25.80 26.03 25.68 25.91
14-Apr-16 126000 26.05 26.46 25.55 25.95
15-Apr-16 50000 26.15 26.15 25.62 25.63
18-Apr-16 32800 25.78 26.05 25.68 25.86
19-Apr-16 64300 25.90 25.90 24.96 24.96
20-Apr-16 42800 25.00 25.05 24.77 25.00
21-Apr-16 108300 25.03 25.03 24.54 24.64
22-Apr-16 96500 24.75 25.20 24.55 25.20

25.55

25.63 25.72

95700

24.73

24.06

24.55 24.64 23.95

1-

May-15 304100 16.90 17.04 16.56 16.65
4-May-15 169500 16.62 16.95 16.52 16.61
5-May-15 120800 16.84 16.40 16.41
6-May-15 174200 16.45 17.02 16.88
7-May-15 143200 16.98 17.00 16.71
8-May-15 2

63800 17.20 16.86
1

1-May-15 125600 16.99 16.87
12-May-15 126300 16.75
13-May-15 168200 16.85 16.79
14-May-15 151900 16.83
15-May-15 86400 16.89 16.92
18-May-15 77600
19-May-15 150200 17.22 16.64
20-May-15 188800 16.78 17.14
21-May-15 93100 17.10 17.11 16.76
22-May-15 363700 16.70 17.18 17.13
25-May-15 124700 17.09
26-May-15 1

78600 16.23
27-May-15 214400 16.80 17.85 17.60
28-May-15 82000 17.50 16.77
29-May-15 104900 17.30 17.19
1-

Jun-15 71200
2-Jun-15 110200 17.25 17.45 17.23 17.42
3-Jun-15 83700 17.40 17.53
4-Jun-15 56300 17.43
5-Jun-15 176300 18.24
8-Jun-15 107900 18.15 18.40 17.65
9-Jun-15 127600 17.70 17.90 17.24 17.80
10-Jun-15 17.93 17.58
1

1-Jun-15 65600 17.72 17.67
12-Jun-15 94100
15-Jun-15 222800 15.90 16.39
16-Jun-15 1

90400 16.55 17.15
17-Jun-15 722500 15.80 15.31
18-Jun-15 222100 15.97 15.61
19-Jun-15 210200 16.05 15.65 16.03
22-Jun-15 237700 15.85 15.66
23-Jun-15 97700 15.79
24-Jun-15 1

63900 15.69 15.70
25-Jun-15 155200 15.78
26-Jun-15 184200 15.51 15.64
29-Jun-15 1

72100 15.41 15.50 15.18 15.20
30-Jun-15 177500 15.40 15.98
1-

Jul-15 138800 15.68 15.56
2-Jul-15 166200 15.45 15.59 15.09
3-Jul-15 107400 16.07 15.91
6-Jul-15 296500 16.09
7-Jul-15 154800 15.35 15.54
8-Jul-15 242800 15.49 16.15 15.47 15.99
9-Jul-15 92400 16.16
10-Jul-15 232100 15.95 16.58 15.87
13-Jul-15 214200
14-Jul-15 150500 16.10 16.35 16.33
15-Jul-15 127900 16.27
16-Jul-15 139600 16.81 15.82
17-Jul-15 110800 16.02 16.82
20-Jul-15 81600 16.30 16.37
2

1-Jul-15 69600 16.12 16.14
22-Jul-15 98100 16.29 16.68 16.25 16.51
23-Jul-15 84900 16.50 16.31 16.54
24-Jul-15 56900
27-Jul-15 75700 16.42
28-Jul-15 58300
29-Jul-15 138000 17.33
30-Jul-15 135600 17.29
31-Jul-15 174600 17.36
3-

Aug-15 91200 17.21 17.35
4-Aug-15 46200 17.05
5-Aug-15 118600
6-Aug-15 75100 17.55
7-Aug-15 334600
10-Aug-15 166800
11-Aug-15 1

39700 17.38
12-Aug-15 67000
1

3-Aug-15 62900 16.93
14-Aug-15 111800 16.94 17.26
17-Aug-15 72300
18-Aug-15 71600 17.34 17.54
19-Aug-15 84000
20-Aug-15 28900 18.20 18.03
21-Aug-15 57100 17.95 17.84 17.98
24-Aug-15 115500 17.86 17.49
25-Aug-15 95100 17.71 17.51
26-Aug-15 99500 18.04 17.28
27-Aug-15 17.56
28-Aug-15 42300 17.68
31-Aug-15 57300 17.52
1-

Sep-15 54000 17.32
2-Sep-15 144300 17.41
3-Sep-15 156900 18.02
4-Sep-15 139700 18.00 18.01
7-Sep-15 229500 17.17
8-Sep-15 224000
9-Sep-15 685600 15.25 16.19
10-Sep-15 250700 15.93
1

1-Sep-15 128800 15.55
14-Sep-15 159700 15.77 15.30 15.71
15-Sep-15 170200 15.75 16.47 16.04
16-Sep-15 106800 15.88
17-Sep-15 16.26
18-Sep-15 86700 16.17
21-Sep-15 100800 16.60
22-Sep-15 190200
23-Sep-15 77000 16.66
24-Sep-15 157900 16.49
25-Sep-15 59200
28-Sep-15 86100
29-Sep-15 88100 16.74
30-Sep-15 1

43500
1-

Oct-15 167600
2-Oct-15 1

14100 16.67
5-Oct-15 167700
6-Oct-15 84800
7-Oct-15 82400
8-Oct-15 64600
9-Oct-15 62500 17.44
12-Oct-15 17.39 17.01
13-Oct-15 130500
14-Oct-15 98200
15-Oct-15 123200
16-Oct-15 112000
19-Oct-15 61100 17.47
20-Oct-15 75600 17.62
2

1-Oct-15 67800 17.59
22-Oct-15 109100
23-Oct-15 61700
26-Oct-15 220200
27-Oct-15 127400 16.91
28-Oct-15 72000
29-Oct-15 170500 17.07
30-Oct-15 80800 17.75
2-

Nov-15 77400 17.63
3-Nov-15 77200 18.10
4-Nov-15 77300 18.11
5-Nov-15 62300 17.99 17.73
6-Nov-15 67300
9-Nov-15 48300 17.82 17.66
10-Nov-15 17.74
11-Nov-15 50400 17.94
1

2-Nov-15 54200 17.03
13-Nov-15 79900 17.48
16-Nov-15 83800
17-Nov-15 50100
18-Nov-15 174500
19-Nov-15 83000
20-Nov-15 73100
23-Nov-15 31600
24-Nov-15 66600
25-Nov-15 111200
26-Nov-15 84400
27-Nov-15 92100 17.06
30-Nov-15 113100 17.57
1-

Dec-15 61400
2-Dec-15 53000 17.83
3-Dec-15 96000 18.14 17.77
4-Dec-15 146400 18.26 17.89
7-Dec-15 264700 18.25
8-Dec-15 315400 18.38 18.06 18.36
9-Dec-15 19.02
10-Dec-15 296000 18.90 19.11 18.73 18.94
1

1-Dec-15 288900 20.00 18.65 19.95
14-Dec-15 164800 19.85 19.40 19.61
15-Dec-15 158000 19.81 20.49 19.36
16-Dec-15 210700 20.09 19.31
17-Dec-15 1

95700 19.30 19.82 18.86 19.53
18-Dec-15 134800 19.38 20.05 19.70
21-Dec-15 126800 19.62 19.54 19.90
22-Dec-15 161600 19.75 20.10
23-Dec-15 139500 19.98 20.13 19.80
24-Dec-15 166500 20.99 20.95
25-Dec-15 39800 20.80 20.55 20.76
28-Dec-15 20.77 20.56
29-Dec-15 100200 20.45 20.74 19.32 20.63
30-Dec-15 20.60 20.94 20.40 20.41
31-Dec-15 20.53
1-

Jan-16 80500 20.50 21.15 20.93
4-Jan-16 177600 20.97 21.30 20.85 21.00
5-Jan-16 147200 21.05 20.88 20.98
6-Jan-16 84600 21.40
7-Jan-16 149400 21.45 21.86 21.49
8-Jan-16 87000 21.85 21.39 21.50
1

1-Jan-16 68700 21.52
12-Jan-16 63100 21.10 21.27 21.08 21.16
13-Jan-16 173500 21.20 22.55 21.19 22.46
14-Jan-16 134300 22.80 22.30 22.79
15-Jan-16 120400 22.95 23.25 22.82
18-Jan-16 103600 22.85 22.34 22.61
19-Jan-16 115300 22.81 23.65 22.97
20-Jan-16 101000 23.00 23.62 23.60
21-Jan-16 60800 23.50 23.10 23.32
22-Jan-16 72700 23.35 23.05
25-Jan-16 108200 23.20 22.11 22.27
26-Jan-16 72900 22.32 22.33 21.69 21.73
27-Jan-16 153900 21.67 21.95 21.90
28-Jan-16 21.80 21.91
29-Jan-16 76100 22.00 22.10
1-

Feb-16 31900 21.93 21.61
2-Feb-16 103500 21.56 21.60 21.06 21.25
3-Feb-16 67200 21.58
4-Feb-16 21.70
5-Feb-16 32200 21.65 21.79 21.44
8-Feb-16 21.28 21.55
9-Feb-16 61200 21.46 21.74
10-Feb-16 63200
1

1-Feb-16 51700 21.37 21.43 21.07
12-Feb-16 39200 21.71 21.57
15-Feb-16 30700
16-Feb-16 46300 21.68 20.86 21.09
17-Feb-16 20.70
18-Feb-16 95600 20.44
19-Feb-16 46500
22-Feb-16 155100 21.04 22.40
23-Feb-16 94500 22.52
24-Feb-16 59100 22.49 22.38
25-Feb-16 85300 23.17 22.35
26-Feb-16 59500 23.18 22.99 23.16
29-Feb-16 87700 23.73 23.54
1-

Mar-16 152800 23.55 23.80 23.48
2-Mar-16 24.08 23.46 23.94
3-Mar-16 73700 23.95 24.15 23.89 23.90
4-Mar-16 24.12 23.78 23.79
7-Mar-16 79200 24.34 23.45
8-Mar-16 88700 23.49 23.53
9-Mar-16
10-Mar-16 23.40
1

1-Mar-16 23.59 23.37
14-Mar-16 81900 23.75
15-Mar-16 117400 23.11 23.47
16-Mar-16 23.15
17-Mar-16 112300 23.02 23.21
18-Mar-16 160400 23.08
21-Mar-16 124900 23.29
22-Mar-16 23.64 23.61
23-Mar-16 212600 23.70 23.84
24-Mar-16 171700 23.85 24.35 24.05
25-Mar-16 155400 24.06 24.29 23.86 24.11
28-Mar-16 140900 24.50
29-Mar-16
30-Mar-16
31-Mar-16
25-Apr-16 85700 25.24 25.64 25.12
26-Apr-16 75000 24.51 24.52
27-Apr-16 24.56 24.73 24.01 24.70
28-Apr-16 101900 24.90 24.41
29-Apr-16 94700 24.47

TheZone Volume-Open-High-Low-Close

Volume 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 304100 169500 120800 174200 143200

263800

125600 126300 168200 151900 86400 77600 150200 188800 93100 363700 124700

178600

214400 82000 104900 71200 110200 83700 56300 176300 107900 127600 78600 65600 94100 222800

190400

722500 222100 210200 237700 97700

163900

155200 184200

172100

177500 138800 166200 107400 296500 154800 242800 92400 232100 214200 150500 127900 139600 110800 81600 69600 98100 84900 56900 75700 58300 138000 135600 174600 91200 46200 118600 75100 334600 166800 139700 67000 62900 111800 72300 71600 84000 28900 57100 115500 95100 99500 63900 42300 57300 54000 144300 156900 139700 229500 224000 685600 250700 128800 159700 170200 106800 90400 86700 100800 190200 77000 157900 59200 86100 88100

143500

167600

114100

167700 84800 82400 64600 62500 72100 130500 98200 123200 112000 61100 75600 67800 109100 61700 220200 127400 72000 170500 80800 77400 77200 77300 62300 67300 48300 39700 50400 54200 79900 83800 50100 174500 83000 73100 31600 66600 111200 84400 92100 113100 61400 53000 96000 146400 264700 315400 220200 296000 288900 164800 158000 210700

195700

134800 126800 161600 139500 166500 39800 14100 100200 67800 86100 80500 177600 147200 84600 149400 87000 68700 63100 173500 134300 120400 103600 115300 101000 60800 72700 108200 72900 153900 83800 76100 31900 103500 67200 72100 32200 43500 61200 63200 51700 39200 30700 46300 63100 95600 46500 155100 94500 59100 85300 59500 87700 152800 83800 73700 87700 79200 88700 63800 77200 96000 81900 117400 82400 112300 160400 124900 87000 212600 171700 155400 140900 246400 152600 62700 138200 126000 50000 32800 64300 246400 152600 62700 138200 126000 50000 32800 64300 42800 108300 96500 85700 75000 95700 101900 94700 Open 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 422 26 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 16.899999999999999 16.62 16.649999999999999 16.45 16.98 16.95 16.86 16.62 16.850000000000001 16.88 16.89 16.75 17.22 16.78 17.100000000000001 16.7 17.09 16.899999999999999 16.8 17.5 16.899999999999999 17.3 17.25 17.399999999999999 17.43 17.5 18.149999999999999 17.7 17.850000000000001 17.600000000000001 17.7 17 16.55 15.8 15.8 15.97 15.85 15.8 15.97 15.65 15.78 15.41 15.4 15.68 15.45 15.7 15.65 16.05 15.49 15.99 15.95 16 16.100000000000001 16.27 16.45 16.02 16.45 16.27 16.29 16.5 16.54 16.3 16.399999999999999 16.809999999999999 17.45 17.29 17.21 17.399999999999999 17.100000000000001 17.350000000000001 16 17 17.149999999999999 16.850000000000001 16.899999999999999 16.940000000000001 17.149999999999999 17.34 17.45 17.8 17.95 17.8 17.7 17.7 17.25 17.399999999999999 17.579999999999998 17.52 17.41 17.54 18 17.399999999999999 17.3 15.25 15.95 15.85 15.65 15.75 15.9 16 16.170000000000002 16.600000000000001 16.75 16.899999999999999 16.649999999999999 16.7 16.71 16.7 16.7 16.7 16.829999999999998 16.8 17.100000000000001 17.100000000000001 17.2 17.25 17.39 17.350000000000001 17.399999999999999 17.440000000000001 17.5 17.559999999999999 17.559999999999999 17.62 17.55 17.420000000000002 17.190000000000001 17 17.010000000000002 17.07 17.3 17.5 17.59 17.850000000000001 17.55 17.75 17.82 17.7 17.75 17.600000000000001 17.03 17.3 17.600000000000001 17 17.22 17.05 17.02 17.149999999999999 17.149999999999999 17.25 17.25 17.149999999999999 17.55 17.5 17.8 17.95 18.100000000000001 18.239999999999998 18.36 18.899999999999999 18.940000000000001 19.850000000 000001 19.809999999999999 19.95 19.3 19.38 19.62 19.75 19.98 20.100000000000001 20.8 20.77 20.45 20.6 20.45 20.5 20.97 21.05 20.95 21.45 21.45 21.5 21.1 21.2 22.46 22.95 22.85 22.81 23 23.5 23.35 23.2 22.32 21.67 21.9 22 21.8 21.56 21.4 21.2 21.65 21.6 21.55 21.7 21.37 21.2 21.6 21.4 21.19 20.6 20.85 21.04 22.33 22.49 22.4 23.05 23 23.55 23.48 23.95 23.9 23.8 23.49 23.45 23.9 23.55 23.37 23.65 23.6 23.25 23.08 23.2 23.35 23.7 23.85 24.06 24.15 24.14 25.15 25.95 25.8 26.05 26.15 25.78 25.9 24.14 25.15 25.95 25.8 26.05 26.15 25.78 25.9 25 25.03 24.75 25.24 25.63 24.56 24.73 24.55 High 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 4218 4 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 17.04 16.95 16.84 17.02 17 17.2 16.989999999999998 16.86 16.989999999999998 16.95 16.920000000000002 16.989999999999998 17.22 17.22 17.11 17.18 17.09 17 17.850000000000001 17.5 17.3 17.3 17.45 17.53 17.45 18.239999999999998 18.399999999999999 17.899999999999999 17.93 17.72 17.7 17.100000000000001 17.3 16 15.97 16.05 16 16.010000000000002 16.010000000000002 16 15.9 15.5 15.98 16 15.59 16.07 16.09 16.05 16.149999999999999 16.55 16.579999999999998 16.399999999999999 16.350000000000001 16.75 16.809999999999999 16.82 16.8 16.45 16.68 16.7 16.54 16.420000000000002 16.64 17.670000000000002 17.579999999999998 17.36 17.350000000000001 17.399999999999999 17.45 17.55 17 17.72 17.38 16.98 16.989999999999998 17.260000000000002 17.579999999999998 17.54 17.7 18.2 18.239999999999998 17.86 17.71 18.04 17.899999999999999 17.850000000000001 17.649999999999999 17.52 17.55 18.02 18.010000000000002 17.600000000000001 17.34 16.190000000000001 16 15.9 15.77 16.47 16.329999999999998 16.37 16.940000000000001 16.73 17.05 17 16.84 16.88 16.95 16.940000000000001 16.760000000000002 16.84 16.88 17.149999999999999 17.100000000000001 17.29 17.350000000000001 17.440000000000001 17.39 17.5 17.5 17.5 17.600000000000001 17.7 17.649999999999999 17.62 17.59 17.45 17.39 17.14 17.100000000000001 17.350000000000001 17.75 17.63 18.100000000000001 18.11 17.989999999999998 18 17.82 17.739999999999998 17.940000000000001 17.600000000000001 17.48 17.600000000000001 17.600000000000001 17.399999999999999 17.22 17.36 17.2 17.25 17.25 17.399999999999999 17.41 18.100000000000001 17.7 17.829999999999998 18.14 18.260000000000002 18.25 18.38 19.02 19.11 20 19.95 20.49 20.09 19.82 20.05 20.05 20.100000000000001 20.13 20.99 20.8 20.77 20.74 20.94 20.8 21.15 21.3 21.15 21.4 21.86 21.85 21.52 21.27 22.55 22.8 23.25 22.85 23.65 23.62 23.65 23.35 23.35 22.33 21.95 22.3 22.1 21.93 21.6 21.58 21.85 21.79 21.7 21.79 21.7 21.43 21.71 21.8 21.68 21.19 21.09 21.28 22.4 22.85 22.85 23.17 23.18 23.73 23.8 24.08 24.15 24.12 24.34 23.53 23.95 23.9 23.59 23.75 23.65 23.6 23.62 23.47 23.29 23.64 23.84 24.35 24.29 24.5 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.36 26.47 26.05 26.03 26.46 26.15 26.05 25.9 25.05 25.03 25.2 25.64 25.72 24.73 24.9 24.64 Low 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 16.559999999999999 16.52 16.399999999999999 16.45 16.71 16.73 16.72 16.61 16.79 16.829999999999998 16.75 16.75 16.64 16.64 16.760000000000002 16.7 16.73 16.23 16.8 16.77 16.899999999999999 17.13 17.23 17.3 17.13 17.5 17.600000000000001 17.239999999999998 17.579999999999998 17.45 17.45 15.9 16.55 15.31 15.61 15.65 15.66 15.79 15.69 15.65 15.51 15.18 15.4 15.5 15.09 15.7 15.65 15.35 15.47 15.9 15.87 15.91 15.8 16.23 15.82 16.02 16.3 16.12 16.25 16.309999999999999 15.95 16 16.05 16.809999999999999 16.7 16.95 16.82 17.05 16.7 17.100000000000001 15.8 16.73 16.95 16.45 16.88 16.84 17.149999999999999 17.260000000000002 17.350000000000001 17.8 17.84 17.489999999999998 17.510000000000002 17.28 17.25 17.36 17.25 17.32 17.25 17.2 17.329999999999998 17.170000000000002 16.850000000000001 15.25 15.82 15.55 15.3 15.56 15.88 16 16.170000000000002 16.25 16.75 16.66 16.489999999999998 16.7 16.7 16.649999999999999 16.399999999999999 16.5 16.670000000000002 16.8 17 17.05 17.100000000000001 17.190000000000001 17.010000000000002 17.3 17.170000000000002 17.25 17.350000000000001 17.47 17.5 17.440000000000001 17.25 17.170000000000002 17 16.91 17 17 17.2 17.39 17.55 17.7 17.55 17.75 17.399999999999999 17.39 17.38 17.03 17.03 17.2 17 16.989999999999998 16.899999999999999 16.899999999999999 16.98 17 17 17 17.059999999999999 16.809999999999999 17.52 17.5 17.77 17.89 18 18. 059999999999999 18.36 18.73 18.649999999999999 19.399999999999999 19.36 19.309999999999999 18.86 19.38 19.54 19.53 19.8 20.100000000000001 20.55 20.56 19.32 20.399999999999999 20.45 20.5 20.85 20.88 20.95 21.4 21.39 21.15 21.08 21.19 22.3 22.82 22.34 22.81 23 23.1 22.85 22.11 21.69 21.1 21.8 21.3 21.45 21.06 21.3 21.15 21.44 21.28 21.46 21.06 20.93 21.2 21.19 20.86 20.7 20.440000000000001 20.7 21 22.33 22.38 22.35 22.99 23 23.48 23.46 23.89 23.78 23.45 23.25 23.35 23.4 23.25 23.37 23.11 23 23.02 23 23.05 23.32 23.11 23.84 23.86 23.9 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.14 25.15 25.72 25.68 25.55 25.62 25.68 24.96 24.77 24.54 24.55 25.12 24.51 24.01 24.06 23.95 Close 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 16.649999999999999 16.61 16.41 16.88 16.95 16.86 16.87 16.75 16.899999999999999 16.850000000000001 16.75 16.920000000000002 16.829999999999998 17.14 16.760000000000002 17.13 16.829999999999998 16.75 17.600000000000001 16.8 17.190000000000001 17.2 17.420000000000002 17.399999999999999 17.399999999999999 18.239999999999998 17.649999999999999 17.8 17.600000000000001 17.670000 000000002 17.5 16.39 17.149999999999999 16 15.97 16.03 15.8 16 15.7 15.78 15.64 15.2 15.98 15.56 15.5 15.91 16 15.54 15.99 16.16 16.010000000000002 16.149999999999999 16.329999999999998 16.55 16.010000000000002 16.649999999999999 16.37 16.14 16.510000000000002 16.54 16.45 16.420000000000002 16.559999999999999 17.329999999999998 17.29 17.2 17.3 17.13 17.399999999999999 17.3 16.899999999999999 17.100000000000001 16.95 16.899999999999999 16.93 17.149999999999999 17.239999999999998 17.45 17.7 18.03 17.98 17.7 17.649999999999999 17.29 17.559999999999999 17.68 17.52 17.36 17.54 18.02 17.5 17.34 16.850000000000001 16.190000000000001 15.93 15.8 15.71 16.04 16 16.260000000000002 16.760000000000002 16.7 16.940000000000001 16.8 16.71 16.71 16.7 16.739999999999998 16.7 16.829999999999998 16.88 17.100000000000001 17.100000000000001 17.25 17.350000000000001 17.440000000000001 17.350000000000001 17.5 17.440000000000001 17.5 17.559999999999999 17.559999999999999 17.62 17.59 17.39 17.29 17 17.010000000000002 17 17.329999999999998 17.75 17.55 18 17.75 17.73 17.8 17.66 17.739999999999998 17.63 17.03 17.260000000000002 17.600000000000001 17 17.190000000000001 16.95 17.02 17.2 17.09 17.25 17.2 17.149999999999999 17.57 17.600000000000001 17.7 18 18.100000000000001 18.239999999999998 18.36 19.02 18.940000000000001 19.95 19.61 19.850000000000001 19.399999999999999 19.53 19.7 19.899999999999999 20.05 20.100000000000001 20.95 20.76 20.56 20.63 20.41 20.53 20.93 21 20.98 21.4 21.49 21.5 21.15 21.16 22.46 22.79 22.83 22.61 22.97 23.6 23.32 23.05 22.27 21.73 21.9 21.91 21.8 21.61 21.25 21.4 21.7 21.6 21.55 21.74 21.3 21.07 21.57 21.4 21.09 20.7 20.8 20.99 22.33 22.52 22.38 23.1 23.16 23.54 23.54 23.94 23.9 23.79 23.54 23.45 23.94 23.4 23.37 23.62 23.47 23.15 23.21 23.1 23.25 23.61 23.8 24.05 24.11 23.94 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2 25.55 24.52 24.7 24.41 24.47

Figure 3.31

Date Volume Open High Low Close
1-May-15 304100 16.90 17.04 16.56 16.65
4-May-15 169500 16.62 16.95 16.52 16.61
5-May-15 120800 16.65 16.84 16.40 16.41
6-May-15 174200 16.45 17.02 16.45 16.88
7-May-15 143200 16.98 17.00 16.71 16.95
8-May-15 263800 16.95 17.20 16.73 16.86

11-May-15

125600 16.86 16.99 16.72 16.87
12-May-15 126300 16.62 16.86 16.61 16.75
13-May-15 168200 16.85 16.99 16.79 16.90
14-May-15 151900 16.88 16.95 16.83 16.85
15-May-15 86400 16.89 16.92 16.75 16.75
18-May-15 77600 16.75 16.99 16.75 16.92
19-May-15 150200 17.22 17.22 16.64 16.83
20-May-15 188800 16.78 17.22 16.64 17.14
21-May-15 93100 17.10 17.11 16.76 16.76
22-May-15 363700 16.70 17.18 16.70 17.13
25-May-15 124700 17.09 17.09 16.73 16.83
26-May-15 178600 16.90 17.00 16.23 16.75
27-May-15 214400 16.80 17.85 16.80 17.60
28-May-15 82000 17.50 17.50 16.77 16.80
29-May-15 104900 16.90 17.30 16.90 17.19
1-Jun-15 71200 17.30 17.30 17.13 17.20
2-Jun-15 110200 17.25 17.45 17.23 17.42
3-Jun-15 83700 17.40 17.53 17.30 17.40
4-Jun-15 56300 17.43 17.45 17.13 17.40
5-Jun-15 176300 17.50 18.24 17.50 18.24
8-Jun-15 107900 18.15 18.40 17.60 17.65
9-Jun-15 127600 17.70 17.90 17.24 17.80
10-Jun-15 78600 17.85 17.93 17.58 17.60

11-Jun-15

65600 17.60 17.72 17.45 17.67
12-Jun-15 94100 17.70 17.70 17.45 17.50
15-Jun-15 222800 17.00 17.10 15.90 16.39
16-Jun-15 190400 16.55 17.30 16.55 17.15
17-Jun-15 722500 15.80 16.00 15.31 16.00
18-Jun-15 222100 15.80 15.97 15.61 15.97
19-Jun-15 210200 15.97 16.05 15.65 16.03
22-Jun-15 237700 15.85 16.00 15.66 15.80
23-Jun-15 97700 15.80 16.01 15.79 16.00
24-Jun-15 163900 15.97 16.01 15.69 15.70
25-Jun-15 155200 15.65 16.00 15.65 15.78
26-Jun-15 184200 15.78 15.90 15.51 15.64
29-Jun-15 172100 15.41 15.50 15.18 15.20
30-Jun-15 177500 15.40 15.98 15.40 15.98
1-Jul-15 138800 15.68 16.00 15.50 15.56
2-Jul-15 166200 15.45 15.59 15.09 15.50
3-Jul-15 107400 15.70 16.07 15.70 15.91
6-Jul-15 296500 15.65 16.09 15.65 16.00
7-Jul-15 154800 16.05 16.05 15.35 15.54
8-Jul-15 242800 15.49 16.15 15.47 15.99
9-Jul-15 92400 15.99 16.55 15.90 16.16
10-Jul-15 232100 15.95 16.58 15.87 16.01
13-Jul-15 214200 16.00 16.40 15.91 16.15
14-Jul-15 150500 16.10 16.35 15.80 16.33
15-Jul-15 127900 16.27 16.75 16.23 16.55
16-Jul-15 139600 16.45 16.81 15.82 16.01
17-Jul-15 110800 16.02 16.82 16.02 16.65
20-Jul-15 81600 16.45 16.80 16.30 16.37

21-Jul-15

69600 16.27 16.45 16.12 16.14
22-Jul-15 98100 16.29 16.68 16.25 16.51
23-Jul-15 84900 16.50 16.70 16.31 16.54
24-Jul-15 56900 16.54 16.54 15.95 16.45
27-Jul-15 75700 16.30 16.42 16.00 16.42
28-Jul-15 58300 16.40 16.64 16.05 16.56
29-Jul-15 138000 16.81 17.67 16.81 17.33
30-Jul-15 135600 17.45 17.58 16.70 17.29
31-Jul-15 174600 17.29 17.36 16.95 17.20
3-Aug-15 91200 17.21 17.35 16.82 17.30
4-Aug-15 46200 17.40 17.40 17.05 17.13
5-Aug-15 118600 17.10 17.45 16.70 17.40
6-Aug-15 75100 17.35 17.55 17.10 17.30
7-Aug-15 334600 16.00 17.00 15.80 16.90
10-Aug-15 166800 17.00 17.72 16.73 17.10
11-Aug-15 139700 17.15 17.38 16.95 16.95
12-Aug-15 67000 16.85 16.98 16.45 16.90

13-Aug-15

62900 16.90 16.99 16.88 16.93
14-Aug-15 111800 16.94 17.26 16.84 17.15
17-Aug-15 72300 17.15 17.58 17.15 17.24
18-Aug-15 71600 17.34 17.54 17.26 17.45
19-Aug-15 84000 17.45 17.70 17.35 17.70
20-Aug-15 28900 17.80 18.20 17.80 18.03
21-Aug-15 57100 17.95 18.24 17.84 17.98
24-Aug-15 115500 17.80 17.86 17.49 17.70
25-Aug-15 95100 17.70 17.71 17.51 17.65
26-Aug-15 99500 17.70 18.04 17.28 17.29
27-Aug-15 63900 17.25 17.90 17.25 17.56
28-Aug-15 42300 17.40 17.85 17.36 17.68
31-Aug-15 57300 17.58 17.65 17.25 17.52
1-Sep-15 54000 17.52 17.52 17.32 17.36
2-Sep-15 144300 17.41 17.55 17.25 17.54
3-Sep-15 156900 17.54 18.02 17.20 18.02
4-Sep-15 139700 18.00 18.01 17.33 17.50
7-Sep-15 229500 17.40 17.60 17.17 17.34
8-Sep-15 224000 17.30 17.34 16.85 16.85
9-Sep-15 685600 15.25 16.19 15.25 16.19
10-Sep-15 250700 15.95 16.00 15.82 15.93

11-Sep-15

128800 15.85 15.90 15.55 15.80
14-Sep-15 159700 15.65 15.77 15.30 15.71
15-Sep-15 170200 15.75 16.47 15.56 16.04
16-Sep-15 106800 15.90 16.33 15.88 16.00
17-Sep-15 90400 16.00 16.37 16.00 16.26
18-Sep-15 86700 16.17 16.94 16.17 16.76
21-Sep-15 100800 16.60 16.73 16.25 16.70
22-Sep-15 190200 16.75 17.05 16.75 16.94
23-Sep-15 77000 16.90 17.00 16.66 16.80
24-Sep-15 157900 16.65 16.84 16.49 16.71
25-Sep-15 59200 16.70 16.88 16.70 16.71
28-Sep-15 86100 16.71 16.95 16.70 16.70
29-Sep-15 88100 16.70 16.94 16.65 16.74
30-Sep-15 143500 16.70 16.76 16.40 16.70
1-Oct-15 167600 16.70 16.84 16.50 16.83
2-Oct-15 114100 16.83 16.88 16.67 16.88
5-Oct-15 167700 16.80 17.15 16.80 17.10
6-Oct-15 84800 17.10 17.10 17.00 17.10
7-Oct-15 82400 17.10 17.29 17.05 17.25
8-Oct-15 64600 17.20 17.35 17.10 17.35
9-Oct-15 62500 17.25 17.44 17.19 17.44
12-Oct-15 72100 17.39 17.39 17.01 17.35
13-Oct-15 130500 17.35 17.50 17.30 17.50
14-Oct-15 98200 17.40 17.50 17.17 17.44
15-Oct-15 123200 17.44 17.50 17.25 17.50
16-Oct-15 112000 17.50 17.60 17.35 17.56
19-Oct-15 61100 17.56 17.70 17.47 17.56
20-Oct-15 75600 17.56 17.65 17.50 17.62

21-Oct-15

67800 17.62 17.62 17.44 17.59
22-Oct-15 109100 17.55 17.59 17.25 17.39
23-Oct-15 61700 17.42 17.45 17.17 17.29
26-Oct-15 220200 17.19 17.39 17.00 17.00
27-Oct-15 127400 17.00 17.14 16.91 17.01
28-Oct-15 72000 17.01 17.10 17.00 17.00
29-Oct-15 170500 17.07 17.35 17.00 17.33
30-Oct-15 80800 17.30 17.75 17.20 17.75
2-Nov-15 77400 17.50 17.63 17.39 17.55
3-Nov-15 77200 17.59 18.10 17.55 18.00
4-Nov-15 77300 17.85 18.11 17.70 17.75
5-Nov-15 62300 17.55 17.99 17.55 17.73
6-Nov-15 67300 17.75 18.00 17.75 17.80
9-Nov-15 48300 17.82 17.82 17.40 17.66
10-Nov-15 39700 17.70 17.74 17.39 17.74
11-Nov-15 50400 17.75 17.94 17.38 17.63

12-Nov-15

54200 17.60 17.60 17.03 17.03
13-Nov-15 79900 17.03 17.48 17.03 17.26
16-Nov-15 83800 17.30 17.60 17.20 17.60
17-Nov-15 50100 17.60 17.60 17.00 17.00
18-Nov-15 174500 17.00 17.40 16.99 17.19
19-Nov-15 83000 17.22 17.22 16.90 16.95
20-Nov-15 73100 17.05 17.36 16.90 17.02
23-Nov-15 31600 17.02 17.20 16.98 17.20
24-Nov-15 66600 17.15 17.25 17.00 17.09
25-Nov-15 111200 17.15 17.25 17.00 17.25
26-Nov-15 84400 17.25 17.40 17.00 17.20
27-Nov-15 92100 17.25 17.41 17.06 17.15
30-Nov-15 113100 17.15 18.10 16.81 17.57
1-Dec-15 61400 17.55 17.70 17.52 17.60
2-Dec-15 53000 17.50 17.83 17.50 17.70
3-Dec-15 96000 17.80 18.14 17.77 18.00
4-Dec-15 146400 17.95 18.26 17.89 18.10
7-Dec-15 264700 18.10 18.25 18.00 18.24
8-Dec-15 315400 18.24 18.38 18.06 18.36
9-Dec-15 220200 18.36 19.02 18.36 19.02
10-Dec-15 296000 18.90 19.11 18.73 18.94

11-Dec-15

288900 18.94 20.00 18.65 19.95
14-Dec-15 164800 19.85 19.95 19.40 19.61
15-Dec-15 158000 19.81 20.49 19.36 19.85
16-Dec-15 210700 19.95 20.09 19.31 19.40
17-Dec-15 195700 19.30 19.82 18.86 19.53
18-Dec-15 134800 19.38 20.05 19.38 19.70
21-Dec-15 126800 19.62 20.05 19.54 19.90
22-Dec-15 161600 19.75 20.10 19.53 20.05
23-Dec-15 139500 19.98 20.13 19.80 20.10
24-Dec-15 166500 20.10 20.99 20.10 20.95
25-Dec-15 39800 20.80 20.80 20.55 20.76
28-Dec-15 14100 20.77 20.77 20.56 20.56
29-Dec-15 100200 20.45 20.74 19.32 20.63
30-Dec-15 67800 20.60 20.94 20.40 20.41
31-Dec-15 86100 20.45 20.80 20.45 20.53
1-Jan-16 80500 20.50 21.15 20.50 20.93
4-Jan-16 177600 20.97 21.30 20.85 21.00
5-Jan-16 147200 21.05 21.15 20.88 20.98
6-Jan-16 84600 20.95 21.40 20.95 21.40
7-Jan-16 149400 21.45 21.86 21.40 21.49
8-Jan-16 87000 21.45 21.85 21.39 21.50

11-Jan-16

68700 21.50 21.52 21.15 21.15
12-Jan-16 63100 21.10 21.27 21.08 21.16
13-Jan-16 173500 21.20 22.55 21.19 22.46
14-Jan-16 134300 22.46 22.80 22.30 22.79
15-Jan-16 120400 22.95 23.25 22.82 22.83
18-Jan-16 103600 22.85 22.85 22.34 22.61
19-Jan-16 115300 22.81 23.65 22.81 22.97
20-Jan-16 101000 23.00 23.62 23.00 23.60
21-Jan-16 60800 23.50 23.65 23.10 23.32
22-Jan-16 72700 23.35 23.35 22.85 23.05
25-Jan-16 108200 23.20 23.35 22.11 22.27
26-Jan-16 72900 22.32 22.33 21.69 21.73
27-Jan-16 153900 21.67 21.95 21.10 21.90
28-Jan-16 83800 21.90 22.30 21.80 21.91
29-Jan-16 76100 22.00 22.10 21.30 21.80
1-Feb-16 31900 21.80 21.93 21.45 21.61
2-Feb-16 103500 21.56 21.60 21.06 21.25
3-Feb-16 67200 21.40 21.58 21.30 21.40
4-Feb-16 72100 21.20 21.85 21.15 21.70
5-Feb-16 32200 21.65 21.79 21.44 21.60
8-Feb-16 43500 21.60 21.70 21.28 21.55
9-Feb-16 61200 21.55 21.79 21.46 21.74
10-Feb-16 63200 21.70 21.70 21.06 21.30

11-Feb-16

51700 21.37 21.43 20.93 21.07
12-Feb-16 39200 21.20 21.71 21.20 21.57
15-Feb-16 30700 21.60 21.80 21.19 21.40
16-Feb-16 46300 21.40 21.68 20.86 21.09
17-Feb-16 63100 21.19 21.19 20.70 20.70
18-Feb-16 95600 20.60 21.09 20.44 20.80
19-Feb-16 46500 20.85 21.28 20.70 20.99
22-Feb-16 155100 21.04 22.40 21.00 22.33
23-Feb-16 94500 22.33 22.85 22.33 22.52
24-Feb-16 59100 22.49 22.85 22.38 22.38
25-Feb-16 85300 22.40 23.17 22.35 23.10
26-Feb-16 59500 23.05 23.18 22.99 23.16
29-Feb-16 87700 23.00 23.73 23.00 23.54
1-Mar-16 152800 23.55 23.80 23.48 23.54
2-Mar-16 83800 23.48 24.08 23.46 23.94
3-Mar-16 73700 23.95 24.15 23.89 23.90
4-Mar-16 87700 23.90 24.12 23.78 23.79
7-Mar-16 79200 23.80 24.34 23.45 23.54
8-Mar-16 88700 23.49 23.53 23.25 23.45
9-Mar-16 63800 23.45 23.95 23.35 23.94
10-Mar-16 77200 23.90 23.90 23.40 23.40

11-Mar-16

96000 23.55 23.59 23.25 23.37
14-Mar-16 81900 23.37 23.75 23.37 23.62
15-Mar-16 117400 23.65 23.65 23.11 23.47
16-Mar-16 82400 23.60 23.60 23.00 23.15
17-Mar-16 112300 23.25 23.62 23.02 23.21
18-Mar-16 160400 23.08 23.47 23.00 23.10
21-Mar-16 124900 23.20 23.29 23.05 23.25
22-Mar-16 87000 23.35 23.64 23.32 23.61
23-Mar-16 212600 23.70 23.84 23.11 23.80
24-Mar-16 171700 23.85 24.35 23.84 24.05
25-Mar-16 155400 24.06 24.29 23.86 24.11
28-Mar-16 140900 24.15 24.50 23.90 23.94
29-Mar-16 246400 24.14 25.36 24.14 25.35
30-Mar-16 152600 25.15 26.47 25.15 25.94
31-Mar-16 62700 25.95 26.05 25.72 25.80
1-Apr-16 138200 25.80 26.03 25.68 25.91
4-Apr-16 126000 26.05 26.46 25.55 25.95
5-Apr-16 50000 26.15 26.15 25.62 25.63
6-Apr-16 32800 25.78 26.05 25.68 25.86
7-Apr-16 64300 25.90 25.90 24.96 24.96
8-Apr-16 246400 24.14 25.36 24.14 25.35
11-Apr-16 152600 25.15 26.47 25.15 25.94
12-Apr-16 62700 25.95 26.05 25.72 25.80
13-Apr-16 138200 25.80 26.03 25.68 25.91
14-Apr-16 126000 26.05 26.46 25.55 25.95
15-Apr-16 50000 26.15 26.15 25.62 25.63
18-Apr-16 32800 25.78 26.05 25.68 25.86
19-Apr-16 64300 25.90 25.90 24.96 24.96
20-Apr-16 42800 25.00 25.05 24.77 25.00
21-Apr-16 108300 25.03 25.03 24.54 24.64
22-Apr-16 96500 24.75 25.20 24.55 25.20
25-Apr-16 85700 25.24 25.64 25.12 25.55
26-Apr-16 75000 25.63 25.72 24.51 24.52
27-Apr-16 95700 24.56 24.73 24.01 24.70
28-Apr-16 101900 24.73 24.90 24.06 24.41
29-Apr-16 94700 24.55 24.64 23.95 24.47

Figure 3.32

Date Volume Open High Low Close
1-May-15 304100 16.90 17.04 16.56 16.65
4-May-15 169500 16.62 16.95 16.52 16.61
5-May-15 120800 16.65 16.84 16.40 16.41
6-May-15 174200 16.45 17.02 16.45 16.88
7-May-15 143200 16.98 17.00 16.71 16.95
8-May-15 263800 16.95 17.20 16.73 16.86
11-May-15 125600 16.86 16.99 16.72 16.87
12-May-15 126300 16.62 16.86 16.61 16.75
13-May-15 168200 16.85 16.99 16.79 16.90
14-May-15 151900 16.88 16.95 16.83 16.85
15-May-15 86400 16.89 16.92 16.75 16.75
18-May-15 77600 16.75 16.99 16.75 16.92
19-May-15 150200 17.22 17.22 16.64 16.83
20-May-15 188800 16.78 17.22 16.64 17.14
21-May-15 93100 17.10 17.11 16.76 16.76
22-May-15 363700 16.70 17.18 16.70 17.13
25-May-15 124700 17.09 17.09 16.73 16.83
26-May-15 178600 16.90 17.00 16.23 16.75
27-May-15 214400 16.80 17.85 16.80 17.60
28-May-15 82000 17.50 17.50 16.77 16.80
29-May-15 104900 16.90 17.30 16.90 17.19
1-Jun-15 71200 17.30 17.30 17.13 17.20
2-Jun-15 110200 17.25 17.45 17.23 17.42
3-Jun-15 83700 17.40 17.53 17.30 17.40
4-Jun-15 56300 17.43 17.45 17.13 17.40
5-Jun-15 176300 17.50 18.24 17.50 18.24
8-Jun-15 107900 18.15 18.40 17.60 17.65
9-Jun-15 127600 17.70 17.90 17.24 17.80
10-Jun-15 78600 17.85 17.93 17.58 17.60
11-Jun-15 65600 17.60 17.72 17.45 17.67
12-Jun-15 94100 17.70 17.70 17.45 17.50
15-Jun-15 222800 17.00 17.10 15.90 16.39
16-Jun-15 190400 16.55 17.30 16.55 17.15
17-Jun-15 722500 15.80 16.00 15.31 16.00
18-Jun-15 222100 15.80 15.97 15.61 15.97
19-Jun-15 210200 15.97 16.05 15.65 16.03
22-Jun-15 237700 15.85 16.00 15.66 15.80
23-Jun-15 97700 15.80 16.01 15.79 16.00
24-Jun-15 163900 15.97 16.01 15.69 15.70
25-Jun-15 155200 15.65 16.00 15.65 15.78
26-Jun-15 184200 15.78 15.90 15.51 15.64
29-Jun-15 172100 15.41 15.50 15.18 15.20
30-Jun-15 177500 15.40 15.98 15.40 15.98
1-Jul-15 138800 15.68 16.00 15.50 15.56
2-Jul-15 166200 15.45 15.59 15.09 15.50
3-Jul-15 107400 15.70 16.07 15.70 15.91
6-Jul-15 296500 15.65 16.09 15.65 16.00
7-Jul-15 154800 16.05 16.05 15.35 15.54
8-Jul-15 242800 15.49 16.15 15.47 15.99
9-Jul-15 92400 15.99 16.55 15.90 16.16
10-Jul-15 232100 15.95 16.58 15.87 16.01
13-Jul-15 214200 16.00 16.40 15.91 16.15
14-Jul-15 150500 16.10 16.35 15.80 16.33
15-Jul-15 127900 16.27 16.75 16.23 16.55
16-Jul-15 139600 16.45 16.81 15.82 16.01
17-Jul-15 110800 16.02 16.82 16.02 16.65
20-Jul-15 81600 16.45 16.80 16.30 16.37
21-Jul-15 69600 16.27 16.45 16.12 16.14
22-Jul-15 98100 16.29 16.68 16.25 16.51
23-Jul-15 84900 16.50 16.70 16.31 16.54
24-Jul-15 56900 16.54 16.54 15.95 16.45
27-Jul-15 75700 16.30 16.42 16.00 16.42
28-Jul-15 58300 16.40 16.64 16.05 16.56
29-Jul-15 138000 16.81 17.67 16.81 17.33
30-Jul-15 135600 17.45 17.58 16.70 17.29
31-Jul-15 174600 17.29 17.36 16.95 17.20
3-Aug-15 91200 17.21 17.35 16.82 17.30
4-Aug-15 46200 17.40 17.40 17.05 17.13
5-Aug-15 118600 17.10 17.45 16.70 17.40
6-Aug-15 75100 17.35 17.55 17.10 17.30
7-Aug-15 334600 16.00 17.00 15.80 16.90
10-Aug-15 166800 17.00 17.72 16.73 17.10
11-Aug-15 139700 17.15 17.38 16.95 16.95
12-Aug-15 67000 16.85 16.98 16.45 16.90
13-Aug-15 62900 16.90 16.99 16.88 16.93
14-Aug-15 111800 16.94 17.26 16.84 17.15
17-Aug-15 72300 17.15 17.58 17.15 17.24
18-Aug-15 71600 17.34 17.54 17.26 17.45
19-Aug-15 84000 17.45 17.70 17.35 17.70
20-Aug-15 28900 17.80 18.20 17.80 18.03
21-Aug-15 57100 17.95 18.24 17.84 17.98
24-Aug-15 115500 17.80 17.86 17.49 17.70
25-Aug-15 95100 17.70 17.71 17.51 17.65
26-Aug-15 99500 17.70 18.04 17.28 17.29
27-Aug-15 63900 17.25 17.90 17.25 17.56
28-Aug-15 42300 17.40 17.85 17.36 17.68
31-Aug-15 57300 17.58 17.65 17.25 17.52
1-Sep-15 54000 17.52 17.52 17.32 17.36
2-Sep-15 144300 17.41 17.55 17.25 17.54
3-Sep-15 156900 17.54 18.02 17.20 18.02
4-Sep-15 139700 18.00 18.01 17.33 17.50
7-Sep-15 229500 17.40 17.60 17.17 17.34
8-Sep-15 224000 17.30 17.34 16.85 16.85
9-Sep-15 685600 15.25 16.19 15.25 16.19
10-Sep-15 250700 15.95 16.00 15.82 15.93
11-Sep-15 128800 15.85 15.90 15.55 15.80
14-Sep-15 159700 15.65 15.77 15.30 15.71
15-Sep-15 170200 15.75 16.47 15.56 16.04
16-Sep-15 106800 15.90 16.33 15.88 16.00
17-Sep-15 90400 16.00 16.37 16.00 16.26
18-Sep-15 86700 16.17 16.94 16.17 16.76
21-Sep-15 100800 16.60 16.73 16.25 16.70
22-Sep-15 190200 16.75 17.05 16.75 16.94
23-Sep-15 77000 16.90 17.00 16.66 16.80
24-Sep-15 157900 16.65 16.84 16.49 16.71
25-Sep-15 59200 16.70 16.88 16.70 16.71
28-Sep-15 86100 16.71 16.95 16.70 16.70
29-Sep-15 88100 16.70 16.94 16.65 16.74
30-Sep-15 143500 16.70 16.76 16.40 16.70
1-Oct-15 167600 16.70 16.84 16.50 16.83
2-Oct-15 114100 16.83 16.88 16.67 16.88
5-Oct-15 167700 16.80 17.15 16.80 17.10
6-Oct-15 84800 17.10 17.10 17.00 17.10
7-Oct-15 82400 17.10 17.29 17.05 17.25
8-Oct-15 64600 17.20 17.35 17.10 17.35
9-Oct-15 62500 17.25 17.44 17.19 17.44
12-Oct-15 72100 17.39 17.39 17.01 17.35
13-Oct-15 130500 17.35 17.50 17.30 17.50
14-Oct-15 98200 17.40 17.50 17.17 17.44
15-Oct-15 123200 17.44 17.50 17.25 17.50
16-Oct-15 112000 17.50 17.60 17.35 17.56
19-Oct-15 61100 17.56 17.70 17.47 17.56
20-Oct-15 75600 17.56 17.65 17.50 17.62
21-Oct-15 67800 17.62 17.62 17.44 17.59
22-Oct-15 109100 17.55 17.59 17.25 17.39
23-Oct-15 61700 17.42 17.45 17.17 17.29
26-Oct-15 220200 17.19 17.39 17.00 17.00
27-Oct-15 127400 17.00 17.14 16.91 17.01
28-Oct-15 72000 17.01 17.10 17.00 17.00
29-Oct-15 170500 17.07 17.35 17.00 17.33
30-Oct-15 80800 17.30 17.75 17.20 17.75
2-Nov-15 77400 17.50 17.63 17.39 17.55
3-Nov-15 77200 17.59 18.10 17.55 18.00
4-Nov-15 77300 17.85 18.11 17.70 17.75
5-Nov-15 62300 17.55 17.99 17.55 17.73
6-Nov-15 67300 17.75 18.00 17.75 17.80
9-Nov-15 48300 17.82 17.82 17.40 17.66
10-Nov-15 39700 17.70 17.74 17.39 17.74
11-Nov-15 50400 17.75 17.94 17.38 17.63
12-Nov-15 54200 17.60 17.60 17.03 17.03
13-Nov-15 79900 17.03 17.48 17.03 17.26
16-Nov-15 83800 17.30 17.60 17.20 17.60
17-Nov-15 50100 17.60 17.60 17.00 17.00
18-Nov-15 174500 17.00 17.40 16.99 17.19
19-Nov-15 83000 17.22 17.22 16.90 16.95
20-Nov-15 73100 17.05 17.36 16.90 17.02
23-Nov-15 31600 17.02 17.20 16.98 17.20
24-Nov-15 66600 17.15 17.25 17.00 17.09
25-Nov-15 111200 17.15 17.25 17.00 17.25
26-Nov-15 84400 17.25 17.40 17.00 17.20
27-Nov-15 92100 17.25 17.41 17.06 17.15
30-Nov-15 113100 17.15 18.10 16.81 17.57
1-Dec-15 61400 17.55 17.70 17.52 17.60
2-Dec-15 53000 17.50 17.83 17.50 17.70
3-Dec-15 96000 17.80 18.14 17.77 18.00
4-Dec-15 146400 17.95 18.26 17.89 18.10
7-Dec-15 264700 18.10 18.25 18.00 18.24
8-Dec-15 315400 18.24 18.38 18.06 18.36
9-Dec-15 220200 18.36 19.02 18.36 19.02
10-Dec-15 296000 18.90 19.11 18.73 18.94
11-Dec-15 288900 18.94 20.00 18.65 19.95
14-Dec-15 164800 19.85 19.95 19.40 19.61
15-Dec-15 158000 19.81 20.49 19.36 19.85
16-Dec-15 210700 19.95 20.09 19.31 19.40
17-Dec-15 195700 19.30 19.82 18.86 19.53
18-Dec-15 134800 19.38 20.05 19.38 19.70
21-Dec-15 126800 19.62 20.05 19.54 19.90
22-Dec-15 161600 19.75 20.10 19.53 20.05
23-Dec-15 139500 19.98 20.13 19.80 20.10
24-Dec-15 166500 20.10 20.99 20.10 20.95
25-Dec-15 39800 20.80 20.80 20.55 20.76
28-Dec-15 14100 20.77 20.77 20.56 20.56
29-Dec-15 100200 20.45 20.74 19.32 20.63
30-Dec-15 67800 20.60 20.94 20.40 20.41
31-Dec-15 86100 20.45 20.80 20.45 20.53
1-Jan-16 80500 20.50 21.15 20.50 20.93
4-Jan-16 177600 20.97 21.30 20.85 21.00
5-Jan-16 147200 21.05 21.15 20.88 20.98
6-Jan-16 84600 20.95 21.40 20.95 21.40
7-Jan-16 149400 21.45 21.86 21.40 21.49
8-Jan-16 87000 21.45 21.85 21.39 21.50
11-Jan-16 68700 21.50 21.52 21.15 21.15
12-Jan-16 63100 21.10 21.27 21.08 21.16
13-Jan-16 173500 21.20 22.55 21.19 22.46
14-Jan-16 134300 22.46 22.80 22.30 22.79
15-Jan-16 120400 22.95 23.25 22.82 22.83
18-Jan-16 103600 22.85 22.85 22.34 22.61
19-Jan-16 115300 22.81 23.65 22.81 22.97
20-Jan-16 101000 23.00 23.62 23.00 23.60
21-Jan-16 60800 23.50 23.65 23.10 23.32
22-Jan-16 72700 23.35 23.35 22.85 23.05
25-Jan-16 108200 23.20 23.35 22.11 22.27
26-Jan-16 72900 22.32 22.33 21.69 21.73
27-Jan-16 153900 21.67 21.95 21.10 21.90
28-Jan-16 83800 21.90 22.30 21.80 21.91
29-Jan-16 76100 22.00 22.10 21.30 21.80
1-Feb-16 31900 21.80 21.93 21.45 21.61
2-Feb-16 103500 21.56 21.60 21.06 21.25
3-Feb-16 67200 21.40 21.58 21.30 21.40
4-Feb-16 72100 21.20 21.85 21.15 21.70
5-Feb-16 32200 21.65 21.79 21.44 21.60
8-Feb-16 43500 21.60 21.70 21.28 21.55
9-Feb-16 61200 21.55 21.79 21.46 21.74
10-Feb-16 63200 21.70 21.70 21.06 21.30
11-Feb-16 51700 21.37 21.43 20.93 21.07
12-Feb-16 39200 21.20 21.71 21.20 21.57
15-Feb-16 30700 21.60 21.80 21.19 21.40
16-Feb-16 46300 21.40 21.68 20.86 21.09
17-Feb-16 63100 21.19 21.19 20.70 20.70
18-Feb-16 95600 20.60 21.09 20.44 20.80
19-Feb-16 46500 20.85 21.28 20.70 20.99
22-Feb-16 155100 21.04 22.40 21.00 22.33
23-Feb-16 94500 22.33 22.85 22.33 22.52
24-Feb-16 59100 22.49 22.85 22.38 22.38
25-Feb-16 85300 22.40 23.17 22.35 23.10
26-Feb-16 59500 23.05 23.18 22.99 23.16
29-Feb-16 87700 23.00 23.73 23.00 23.54
1-Mar-16 152800 23.55 23.80 23.48 23.54
2-Mar-16 83800 23.48 24.08 23.46 23.94
3-Mar-16 73700 23.95 24.15 23.89 23.90
4-Mar-16 87700 23.90 24.12 23.78 23.79
7-Mar-16 79200 23.80 24.34 23.45 23.54
8-Mar-16 88700 23.49 23.53 23.25 23.45
9-Mar-16 63800 23.45 23.95 23.35 23.94
10-Mar-16 77200 23.90 23.90 23.40 23.40
11-Mar-16 96000 23.55 23.59 23.25 23.37
14-Mar-16 81900 23.37 23.75 23.37 23.62
15-Mar-16 117400 23.65 23.65 23.11 23.47
16-Mar-16 82400 23.60 23.60 23.00 23.15
17-Mar-16 112300 23.25 23.62 23.02 23.21
18-Mar-16 160400 23.08 23.47 23.00 23.10
21-Mar-16 124900 23.20 23.29 23.05 23.25
22-Mar-16 87000 23.35 23.64 23.32 23.61
23-Mar-16 212600 23.70 23.84 23.11 23.80
24-Mar-16 171700 23.85 24.35 23.84 24.05
25-Mar-16 155400 24.06 24.29 23.86 24.11
28-Mar-16 140900 24.15 24.50 23.90 23.94
29-Mar-16 246400 24.14 25.36 24.14 25.35
30-Mar-16 152600 25.15 26.47 25.15 25.94
31-Mar-16 62700 25.95 26.05 25.72 25.80
1-Apr-16 138200 25.80 26.03 25.68 25.91
4-Apr-16 126000 26.05 26.46 25.55 25.95
5-Apr-16 50000 26.15 26.15 25.62 25.63
6-Apr-16 32800 25.78 26.05 25.68 25.86
7-Apr-16 64300 25.90 25.90 24.96 24.96
8-Apr-16 246400 24.14 25.36 24.14 25.35
11-Apr-16 152600 25.15 26.47 25.15 25.94
12-Apr-16 62700 25.95 26.05 25.72 25.80
13-Apr-16 138200 25.80 26.03 25.68 25.91
14-Apr-16 126000 26.05 26.46 25.55 25.95
15-Apr-16 50000 26.15 26.15 25.62 25.63
18-Apr-16 32800 25.78 26.05 25.68 25.86
19-Apr-16 64300 25.90 25.90 24.96 24.96
20-Apr-16 42800 25.00 25.05 24.77 25.00
21-Apr-16 108300 25.03 25.03 24.54 24.64
22-Apr-16 96500 24.75 25.20 24.55 25.20
25-Apr-16 85700 25.24 25.64 25.12 25.55
26-Apr-16 75000 25.63 25.72 24.51 24.52
27-Apr-16 95700 24.56 24.73 24.01 24.70
28-Apr-16 101900 24.73 24.90 24.06 24.41
29-Apr-16 94700 24.55 24.64 23.95 24.47

TheZone Daily Stock Volume and Closing Prices

Volume 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 42205 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 304100 169500 120800 174200 143200 263800 125600 126300 168200 151900 86400 77600 150200 188800 93100 363700 124700 178600 214400 82000 104900 71200 110200 83700 56300 176300 107900 127600 78600 65600 94100 222800 190400 722500 222100 210200 237700 97700 163900 155200 184200 172100 177500 138800 166200 107400 296500 154800 242800 92400 232100 214200 150500 127900 139600 110800 81600 69600 98100 84900 56900 75700 58300 138000 135600 174600 91200 46200 118600 75100 334600 166800 139700 67000 62900 111800 72300 71600 84000 28900 57100 115500 95100 99500 63900 42300 57300 54000 144300 156900 139700 229500 224000 685600 250700 128800 159700 170200 106800 90400 86700 100800 190200 77000 157900 59200 86100 88100 143500 167600 114100 167700 84800 82400 64600 62500 72100 130500 98200 123200 112000 61100 75600 67800 109100 61700 220200 127400 72000 170500 80800 77400 77200 77300 62300 67300 48300 39700 50400 54200 79900 83800 50100 174500 83000 73100 31600 66600 111200 84400 92100 113100 61400 53000 96000 146400 264700 315400 220200 296000 288900 164800 158000 210700 195700 134800 126800 161600 139500 166500 39800 14100 100200 67800 86100 80500 177600 147200 84600 149400 87000 68700 63100 173500 134300 120400 103600 115300 101000 60800 72700 108200 72900 153900 83800 76100 31900 103500 67200 72100 32200 43500 61200 63200 51700 39200 30700 46300 63100 95600 46500 155100 94500 59100 85300 59500 87700 152800 83800 73700 87700 79200 88700 63800 77200 96000 81900 117400 82400 112300 160400 124900 87000 212600 171700 155400 140900 246400 152600 62700 138200 126000 50000 32800 64300 246400 152600 62700 138200 126000 50000 32800 64300 42800 108300 96500 85700 75000 95700 101900 94700 Close 42125 42128 42129 42130 42131 42132 42135 42136 42137 42138 42139 42142 42143 42144 42145 42146 42149 42150 42151 42152 42153 42156 42157 42158 42159 42160 42163 42164 42165 42166 42167 42170 42171 42172 42173 42174 42177 42178 42179 42180 42181 42184 42185 42186 42187 42188 42191 42192 42193 42194 42195 42198 42199 42200 42201 42202 422 05 42206 42207 42208 42209 42212 42213 42214 42215 42216 42219 42220 42221 42222 42223 42226 42227 42228 42229 42230 42233 42234 42235 42236 42237 42240 42241 42242 42243 42244 42247 42248 42249 42250 42251 42254 42255 42256 42257 42258 42261 42262 42263 42264 42265 42268 42269 42270 42271 42272 42275 42276 42277 42278 42279 42282 42283 42284 42285 42286 42289 42290 42291 42292 42293 42296 42297 42298 42299 42300 42303 42304 42305 42306 42307 42310 42311 42312 42313 42314 42317 42318 42319 42320 42321 42324 42325 42326 42327 42328 42331 42332 42333 42334 42335 42338 42339 42340 42341 42342 42345 42346 42347 42348 42349 42352 42353 42354 42355 42356 42359 42360 42361 42362 42363 42366 42367 42368 42369 42370 42373 42374 42375 42376 42377 42380 42381 42382 42383 42384 42387 42388 42389 42390 42391 42394 42395 42396 42397 42398 42401 42402 42403 42404 42405 42408 42409 42410 42411 42412 42415 42416 42417 42418 42419 42422 42423 42424 42425 42426 42429 42430 42431 42432 42433 42436 42437 42438 42439 42440 42443 42444 42445 42446 42447 42450 42451 42452 42453 42454 42457 42458 42459 42460 42461 42464 42465 42466 42467 42468 42471 42472 42473 42474 42475 42478 42479 42480 42481 42482 42485 42486 42487 42488 42489 16.649999999999999 16.61 16.41 16.88 16.95 16.86 16.87 16.75 16.899999999999999 16.850000000000001 16.75 16.920000000000002 16.829999999999998 17.14 16.760000000000002 17.13 16.829999999999998 16.75 17.600000000000001 16.8 17.190000000000001 17.2 17.420000000000002 17.399999999999999 17.399999999999999 18.239999999999998 17.649999999999999 17.8 17.600000000000001 17.670000000000002 17.5 16.39 17.149999999999999 16 15.97 16.03 15.8 16 15.7 15.78 15.64 15.2 15.98 15.56 15.5 15.91 16 15.54 15.99 16.16 16.010000000000002 16.149999999999999 16.329999999999998 16.55 16.010000000000002 16.649999999999999 16.37 16.14 16.510000000000002 16.54 16.45 16.420000000000002 16.559999999999999 17.329999999999998 17.29 17.2 17.3 17.13 17.399999999999999 17.3 16.899999999999999 17.100000000000001 16.95 16.899999999999999 16.93 17.149999999999999 17.239999999999998 17.45 17.7 18.03 17.98 17.7 17.649999999999999 17.29 17.559999999999999 17.68 17.52 17.36 17.54 18.02 17.5 17.34 16.850000000000001 16.190000000000001 15.93 15.8 15.71 16.04 16 16.260000000000002 16.760000000000002 16.7 16.940000000000001 16.8 16.71 16.71 16.7 16.739999999999998 16.7 16.829999999999998 16.88 17.100000000000001 17.100000000000001 17.25 17.350000000000001 17.440000000000001 17.350000000000001 17.5 17.440000000000001 17.5 17.559999999999999 17.559999999999999 17.62 17.59 17.39 17.29 17 17.010000000000002 17 17.329999999999998 17.75 17.55 18 17.75 17.73 17.8 17.66 17.739999999999998 17.63 17.03 17.260000000000002 17.600000000000001 17 17.190000000000001 16.95 17.02 17.2 17.09 17.25 17.2 17.149999999999999 17.57 17.600000000000001 17.7 18 18.100000000000001 18.239999999999998 18.36 19.02 18.940000000000001 19.95 19.61 19.850000000000001 19.399999999999999 19.53 19.7 19.899999999999999 20.05 20.100000000000001 20.95 20.76 20.56 20.63 20.41 20.53 20.93 21 20.98 21.4 21.49 21.5 21.15 21.16 22.46 22.79 22.83 22.61 22.97 23.6 23.32 23.05 22.27 21.73 21.9 21.91 21.8 21.61 21.25 21.4 21.7 21.6 21.55 21.74 21.3 21.07 21.57 21.4 21.09 20.7 20.8 20.99 22.33 22.52 22.38 23.1 23.16 23.54 23.54 23.94 23.9 23.79 23.54 23.45 23.94 23.4 23.37 23.62 23.47 23.15 23.21 23.1 23.25 23.61 23.8 24.05 24.11 23.94 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25.35 25.94 25.8 25.91 25.95 25.63 25.86 24.96 25 24.64 25.2 25.55 24.52 24.7 24.41 24.47

Figure 3.33

Date Volume Open High Low Close

Month Date Volume Open High Low Close

1-May-15 304100 16.90 17.04 16.56 16.65 5 5 5 May-15

16.90 17.85 16.23 17.19

4-May-15 169500 16.62 16.95 16.52 16.61 1 5 6 Jun-15

17.30 18.40 15.18 15.98

5-May-15 120800 16.65 16.84 16.40 16.41 2 5 7 Jul-15

15.68 17.67 15.09 17.20

6-May-15 174200 16.45 17.02 16.45 16.88 3 5 8 Aug-15

17.21 18.24 15.80 17.52

7-May-15 143200 16.98 17.00 16.71 16.95 4 5 9 Sep-15

17.52 18.02 15.25 16.70

8-May-15 263800 16.95 17.20 16.73 16.86 5 5 10 Oct-15

16.70 17.75 16.50 17.75

11-May-15 125600 16.86 16.99 16.72 16.87 1 5 11 Nov-15

17.50 18.11 16.81 17.57

12-May-15 126300 16.62 16.86 16.61 16.75 2 5 12 Dec-15

17.55 20.99 17.50 20.53

13-May-15 168200 16.85 16.99 16.79 16.90 3 5 1 Jan-16

20.50 23.65 20.50 21.80

14-May-15 151900 16.88 16.95 16.83 16.85 4 5 2 Feb-16

21.80 23.73 20.44 23.54

15-May-15 86400 16.89 16.92 16.75 16.75 5 5 3 Mar-16

23.55 26.47 23.00 25.80

18-May-15 77600 16.75 16.99 16.75 16.92 1 5 4 Apr-16

25.80 26.47 23.95 24.47

19-May-15 150200 17.22 17.22 16.64 16.83 2 5
20-May-15 188800 16.78 17.22 16.64 17.14 3 5
21-May-15 93100 17.10 17.11 16.76 16.76 4 5
22-May-15 363700 16.70 17.18 16.70 17.13 5 5
25-May-15 124700 17.09 17.09 16.73 16.83 1 5
26-May-15 178600 16.90 17.00 16.23 16.75 2 5
27-May-15 214400 16.80 17.85 16.80 17.60 3 5
28-May-15 82000 17.50 17.50 16.77 16.80 4 5
29-May-15 104900 16.90 17.30 16.90 17.19 5 5
1-Jun-15 71200 17.30 17.30 17.13 17.20 1 6
2-Jun-15 110200 17.25 17.45 17.23 17.42 2 6
3-Jun-15 83700 17.40 17.53 17.30 17.40 3 6
4-Jun-15 56300 17.43 17.45 17.13 17.40 4 6
5-Jun-15 176300 17.50 18.24 17.50 18.24 5 6
8-Jun-15 107900 18.15 18.40 17.60 17.65 1 6
9-Jun-15 127600 17.70 17.90 17.24 17.80 2 6
10-Jun-15 78600 17.85 17.93 17.58 17.60 3 6
11-Jun-15 65600 17.60 17.72 17.45 17.67 4 6
12-Jun-15 94100 17.70 17.70 17.45 17.50 5 6
15-Jun-15 222800 17.00 17.10 15.90 16.39 1 6
16-Jun-15 190400 16.55 17.30 16.55 17.15 2 6
17-Jun-15 722500 15.80 16.00 15.31 16.00 3 6
18-Jun-15 222100 15.80 15.97 15.61 15.97 4 6
19-Jun-15 210200 15.97 16.05 15.65 16.03 5 6
22-Jun-15 237700 15.85 16.00 15.66 15.80 1 6
23-Jun-15 97700 15.80 16.01 15.79 16.00 2 6
24-Jun-15 163900 15.97 16.01 15.69 15.70 3 6
25-Jun-15 155200 15.65 16.00 15.65 15.78 4 6
26-Jun-15 184200 15.78 15.90 15.51 15.64 5 6
29-Jun-15 172100 15.41 15.50 15.18 15.20 1 6
30-Jun-15 177500 15.40 15.98 15.40 15.98 2 6
1-Jul-15 138800 15.68 16.00 15.50 15.56 3 7
2-Jul-15 166200 15.45 15.59 15.09 15.50 4 7
3-Jul-15 107400 15.70 16.07 15.70 15.91 5 7
6-Jul-15 296500 15.65 16.09 15.65 16.00 1 7
7-Jul-15 154800 16.05 16.05 15.35 15.54 2 7
8-Jul-15 242800 15.49 16.15 15.47 15.99 3 7
9-Jul-15 92400 15.99 16.55 15.90 16.16 4 7
10-Jul-15 232100 15.95 16.58 15.87 16.01 5 7
13-Jul-15 214200 16.00 16.40 15.91 16.15 1 7
14-Jul-15 150500 16.10 16.35 15.80 16.33 2 7
15-Jul-15 127900 16.27 16.75 16.23 16.55 3 7
16-Jul-15 139600 16.45 16.81 15.82 16.01 4 7
17-Jul-15 110800 16.02 16.82 16.02 16.65 5 7
20-Jul-15 81600 16.45 16.80 16.30 16.37 1 7
21-Jul-15 69600 16.27 16.45 16.12 16.14 2 7
22-Jul-15 98100 16.29 16.68 16.25 16.51 3 7
23-Jul-15 84900 16.50 16.70 16.31 16.54 4 7
24-Jul-15 56900 16.54 16.54 15.95 16.45 5 7
27-Jul-15 75700 16.30 16.42 16.00 16.42 1 7
28-Jul-15 58300 16.40 16.64 16.05 16.56 2 7
29-Jul-15 138000 16.81 17.67 16.81 17.33 3 7
30-Jul-15 135600 17.45 17.58 16.70 17.29 4 7
31-Jul-15 174600 17.29 17.36 16.95 17.20 5 7
3-Aug-15 91200 17.21 17.35 16.82 17.30 1 8
4-Aug-15 46200 17.40 17.40 17.05 17.13 2 8
5-Aug-15 118600 17.10 17.45 16.70 17.40 3 8
6-Aug-15 75100 17.35 17.55 17.10 17.30 4 8
7-Aug-15 334600 16.00 17.00 15.80 16.90 5 8
10-Aug-15 166800 17.00 17.72 16.73 17.10 1 8
11-Aug-15 139700 17.15 17.38 16.95 16.95 2 8
12-Aug-15 67000 16.85 16.98 16.45 16.90 3 8
13-Aug-15 62900 16.90 16.99 16.88 16.93 4 8
14-Aug-15 111800 16.94 17.26 16.84 17.15 5 8
17-Aug-15 72300 17.15 17.58 17.15 17.24 1 8
18-Aug-15 71600 17.34 17.54 17.26 17.45 2 8
19-Aug-15 84000 17.45 17.70 17.35 17.70 3 8
20-Aug-15 28900 17.80 18.20 17.80 18.03 4 8
21-Aug-15 57100 17.95 18.24 17.84 17.98 5 8
24-Aug-15 115500 17.80 17.86 17.49 17.70 1 8
25-Aug-15 95100 17.70 17.71 17.51 17.65 2 8
26-Aug-15 99500 17.70 18.04 17.28 17.29 3 8
27-Aug-15 63900 17.25 17.90 17.25 17.56 4 8
28-Aug-15 42300 17.40 17.85 17.36 17.68 5 8
31-Aug-15 57300 17.58 17.65 17.25 17.52 1 8
1-Sep-15 54000 17.52 17.52 17.32 17.36 2 9
2-Sep-15 144300 17.41 17.55 17.25 17.54 3 9
3-Sep-15 156900 17.54 18.02 17.20 18.02 4 9
4-Sep-15 139700 18.00 18.01 17.33 17.50 5 9
7-Sep-15 229500 17.40 17.60 17.17 17.34 1 9
8-Sep-15 224000 17.30 17.34 16.85 16.85 2 9
9-Sep-15 685600 15.25 16.19 15.25 16.19 3 9
10-Sep-15 250700 15.95 16.00 15.82 15.93 4 9
11-Sep-15 128800 15.85 15.90 15.55 15.80 5 9
14-Sep-15 159700 15.65 15.77 15.30 15.71 1 9
15-Sep-15 170200 15.75 16.47 15.56 16.04 2 9
16-Sep-15 106800 15.90 16.33 15.88 16.00 3 9
17-Sep-15 90400 16.00 16.37 16.00 16.26 4 9
18-Sep-15 86700 16.17 16.94 16.17 16.76 5 9
21-Sep-15 100800 16.60 16.73 16.25 16.70 1 9
22-Sep-15 190200 16.75 17.05 16.75 16.94 2 9
23-Sep-15 77000 16.90 17.00 16.66 16.80 3 9
24-Sep-15 157900 16.65 16.84 16.49 16.71 4 9
25-Sep-15 59200 16.70 16.88 16.70 16.71 5 9
28-Sep-15 86100 16.71 16.95 16.70 16.70 1 9
29-Sep-15 88100 16.70 16.94 16.65 16.74 2 9
30-Sep-15 143500 16.70 16.76 16.40 16.70 3 9
1-Oct-15 167600 16.70 16.84 16.50 16.83 4 10
2-Oct-15 114100 16.83 16.88 16.67 16.88 5 10
5-Oct-15 167700 16.80 17.15 16.80 17.10 1 10
6-Oct-15 84800 17.10 17.10 17.00 17.10 2 10
7-Oct-15 82400 17.10 17.29 17.05 17.25 3 10
8-Oct-15 64600 17.20 17.35 17.10 17.35 4 10
9-Oct-15 62500 17.25 17.44 17.19 17.44 5 10
12-Oct-15 72100 17.39 17.39 17.01 17.35 1 10
13-Oct-15 130500 17.35 17.50 17.30 17.50 2 10
14-Oct-15 98200 17.40 17.50 17.17 17.44 3 10
15-Oct-15 123200 17.44 17.50 17.25 17.50 4 10
16-Oct-15 112000 17.50 17.60 17.35 17.56 5 10
19-Oct-15 61100 17.56 17.70 17.47 17.56 1 10
20-Oct-15 75600 17.56 17.65 17.50 17.62 2 10
21-Oct-15 67800 17.62 17.62 17.44 17.59 3 10
22-Oct-15 109100 17.55 17.59 17.25 17.39 4 10
23-Oct-15 61700 17.42 17.45 17.17 17.29 5 10
26-Oct-15 220200 17.19 17.39 17.00 17.00 1 10
27-Oct-15 127400 17.00 17.14 16.91 17.01 2 10
28-Oct-15 72000 17.01 17.10 17.00 17.00 3 10
29-Oct-15 170500 17.07 17.35 17.00 17.33 4 10
30-Oct-15 80800 17.30 17.75 17.20 17.75 5 10
2-Nov-15 77400 17.50 17.63 17.39 17.55 1 11
3-Nov-15 77200 17.59 18.10 17.55 18.00 2 11
4-Nov-15 77300 17.85 18.11 17.70 17.75 3 11
5-Nov-15 62300 17.55 17.99 17.55 17.73 4 11
6-Nov-15 67300 17.75 18.00 17.75 17.80 5 11
9-Nov-15 48300 17.82 17.82 17.40 17.66 1 11
10-Nov-15 39700 17.70 17.74 17.39 17.74 2 11
11-Nov-15 50400 17.75 17.94 17.38 17.63 3 11
12-Nov-15 54200 17.60 17.60 17.03 17.03 4 11
13-Nov-15 79900 17.03 17.48 17.03 17.26 5 11
16-Nov-15 83800 17.30 17.60 17.20 17.60 1 11
17-Nov-15 50100 17.60 17.60 17.00 17.00 2 11
18-Nov-15 174500 17.00 17.40 16.99 17.19 3 11
19-Nov-15 83000 17.22 17.22 16.90 16.95 4 11
20-Nov-15 73100 17.05 17.36 16.90 17.02 5 11
23-Nov-15 31600 17.02 17.20 16.98 17.20 1 11
24-Nov-15 66600 17.15 17.25 17.00 17.09 2 11
25-Nov-15 111200 17.15 17.25 17.00 17.25 3 11
26-Nov-15 84400 17.25 17.40 17.00 17.20 4 11
27-Nov-15 92100 17.25 17.41 17.06 17.15 5 11
30-Nov-15 113100 17.15 18.10 16.81 17.57 1 11
1-Dec-15 61400 17.55 17.70 17.52 17.60 2 12
2-Dec-15 53000 17.50 17.83 17.50 17.70 3 12
3-Dec-15 96000 17.80 18.14 17.77 18.00 4 12
4-Dec-15 146400 17.95 18.26 17.89 18.10 5 12
7-Dec-15 264700 18.10 18.25 18.00 18.24 1 12
8-Dec-15 315400 18.24 18.38 18.06 18.36 2 12
9-Dec-15 220200 18.36 19.02 18.36 19.02 3 12
10-Dec-15 296000 18.90 19.11 18.73 18.94 4 12
11-Dec-15 288900 18.94 20.00 18.65 19.95 5 12
14-Dec-15 164800 19.85 19.95 19.40 19.61 1 12
15-Dec-15 158000 19.81 20.49 19.36 19.85 2 12
16-Dec-15 210700 19.95 20.09 19.31 19.40 3 12
17-Dec-15 195700 19.30 19.82 18.86 19.53 4 12
18-Dec-15 134800 19.38 20.05 19.38 19.70 5 12
21-Dec-15 126800 19.62 20.05 19.54 19.90 1 12
22-Dec-15 161600 19.75 20.10 19.53 20.05 2 12
23-Dec-15 139500 19.98 20.13 19.80 20.10 3 12
24-Dec-15 166500 20.10 20.99 20.10 20.95 4 12
25-Dec-15 39800 20.80 20.80 20.55 20.76 5 12
28-Dec-15 14100 20.77 20.77 20.56 20.56 1 12
29-Dec-15 100200 20.45 20.74 19.32 20.63 2 12
30-Dec-15 67800 20.60 20.94 20.40 20.41 3 12
31-Dec-15 86100 20.45 20.80 20.45 20.53 4 12
1-Jan-16 80500 20.50 21.15 20.50 20.93 5 1
4-Jan-16 177600 20.97 21.30 20.85 21.00 1 1
5-Jan-16 147200 21.05 21.15 20.88 20.98 2 1
6-Jan-16 84600 20.95 21.40 20.95 21.40 3 1
7-Jan-16 149400 21.45 21.86 21.40 21.49 4 1
8-Jan-16 87000 21.45 21.85 21.39 21.50 5 1
11-Jan-16 68700 21.50 21.52 21.15 21.15 1 1
12-Jan-16 63100 21.10 21.27 21.08 21.16 2 1
13-Jan-16 173500 21.20 22.55 21.19 22.46 3 1
14-Jan-16 134300 22.46 22.80 22.30 22.79 4 1
15-Jan-16 120400 22.95 23.25 22.82 22.83 5 1
18-Jan-16 103600 22.85 22.85 22.34 22.61 1 1
19-Jan-16 115300 22.81 23.65 22.81 22.97 2 1
20-Jan-16 101000 23.00 23.62 23.00 23.60 3 1
21-Jan-16 60800 23.50 23.65 23.10 23.32 4 1
22-Jan-16 72700 23.35 23.35 22.85 23.05 5 1
25-Jan-16 108200 23.20 23.35 22.11 22.27 1 1
26-Jan-16 72900 22.32 22.33 21.69 21.73 2 1
27-Jan-16 153900 21.67 21.95 21.10 21.90 3 1
28-Jan-16 83800 21.90 22.30 21.80 21.91 4 1
29-Jan-16 76100 22.00 22.10 21.30 21.80 5 1
1-Feb-16 31900 21.80 21.93 21.45 21.61 1 2
2-Feb-16 103500 21.56 21.60 21.06 21.25 2 2
3-Feb-16 67200 21.40 21.58 21.30 21.40 3 2
4-Feb-16 72100 21.20 21.85 21.15 21.70 4 2
5-Feb-16 32200 21.65 21.79 21.44 21.60 5 2
8-Feb-16 43500 21.60 21.70 21.28 21.55 1 2
9-Feb-16 61200 21.55 21.79 21.46 21.74 2 2
10-Feb-16 63200 21.70 21.70 21.06 21.30 3 2
11-Feb-16 51700 21.37 21.43 20.93 21.07 4 2
12-Feb-16 39200 21.20 21.71 21.20 21.57 5 2
15-Feb-16 30700 21.60 21.80 21.19 21.40 1 2
16-Feb-16 46300 21.40 21.68 20.86 21.09 2 2
17-Feb-16 63100 21.19 21.19 20.70 20.70 3 2
18-Feb-16 95600 20.60 21.09 20.44 20.80 4 2
19-Feb-16 46500 20.85 21.28 20.70 20.99 5 2
22-Feb-16 155100 21.04 22.40 21.00 22.33 1 2
23-Feb-16 94500 22.33 22.85 22.33 22.52 2 2
24-Feb-16 59100 22.49 22.85 22.38 22.38 3 2
25-Feb-16 85300 22.40 23.17 22.35 23.10 4 2
26-Feb-16 59500 23.05 23.18 22.99 23.16 5 2
29-Feb-16 87700 23.00 23.73 23.00 23.54 1 2
1-Mar-16 152800 23.55 23.80 23.48 23.54 2 3
2-Mar-16 83800 23.48 24.08 23.46 23.94 3 3
3-Mar-16 73700 23.95 24.15 23.89 23.90 4 3
4-Mar-16 87700 23.90 24.12 23.78 23.79 5 3
7-Mar-16 79200 23.80 24.34 23.45 23.54 1 3
8-Mar-16 88700 23.49 23.53 23.25 23.45 2 3
9-Mar-16 63800 23.45 23.95 23.35 23.94 3 3
10-Mar-16 77200 23.90 23.90 23.40 23.40 4 3
11-Mar-16 96000 23.55 23.59 23.25 23.37 5 3
14-Mar-16 81900 23.37 23.75 23.37 23.62 1 3
15-Mar-16 117400 23.65 23.65 23.11 23.47 2 3
16-Mar-16 82400 23.60 23.60 23.00 23.15 3 3
17-Mar-16 112300 23.25 23.62 23.02 23.21 4 3
18-Mar-16 160400 23.08 23.47 23.00 23.10 5 3
21-Mar-16 124900 23.20 23.29 23.05 23.25 1 3
22-Mar-16 87000 23.35 23.64 23.32 23.61 2 3
23-Mar-16 212600 23.70 23.84 23.11 23.80 3 3
24-Mar-16 171700 23.85 24.35 23.84 24.05 4 3
25-Mar-16 155400 24.06 24.29 23.86 24.11 5 3
28-Mar-16 140900 24.15 24.50 23.90 23.94 1 3
29-Mar-16 246400 24.14 25.36 24.14 25.35 2 3
30-Mar-16 152600 25.15 26.47 25.15 25.94 3 3
31-Mar-16 62700 25.95 26.05 25.72 25.80 4 3
1-Apr-16 138200 25.80 26.03 25.68 25.91 5 4
4-Apr-16 126000 26.05 26.46 25.55 25.95 1 4
5-Apr-16 50000 26.15 26.15 25.62 25.63 2 4
6-Apr-16 32800 25.78 26.05 25.68 25.86 3 4
7-Apr-16 64300 25.90 25.90 24.96 24.96 4 4
8-Apr-16 246400 24.14 25.36 24.14 25.35 5 4
11-Apr-16 152600 25.15 26.47 25.15 25.94 1 4
12-Apr-16 62700 25.95 26.05 25.72 25.80 2 4
13-Apr-16 138200 25.80 26.03 25.68 25.91 3 4
14-Apr-16 126000 26.05 26.46 25.55 25.95 4 4
15-Apr-16 50000 26.15 26.15 25.62 25.63 5 4
18-Apr-16 32800 25.78 26.05 25.68 25.86 1 4
19-Apr-16 64300 25.90 25.90 24.96 24.96 2 4
20-Apr-16 42800 25.00 25.05 24.77 25.00 3 4
21-Apr-16 108300 25.03 25.03 24.54 24.64 4 4
22-Apr-16 96500 24.75 25.20 24.55 25.20 5 4
25-Apr-16 85700 25.24 25.64 25.12 25.55 1 4
26-Apr-16 75000 25.63 25.72 24.51 24.52 2 4
27-Apr-16 95700 24.56 24.73 24.01 24.70 3 4
28-Apr-16 101900 24.73 24.90 24.06 24.41 4 4
29-Apr-16 94700 24.55 24.64 23.95 24.47 5 4
Day Month
3412000
3727800
3147300
2001400
3530100
2325900
1597500
3508400
2234600
1389100
2711500
1984900

Figure 3.34

Date Volume Open High Low Close Day Month Month Date Volume Open High Low Close
1-May-15 304100 16.90 17.04 16.56 16.65 5 5 5 May-15 3412000 16.90 17.85 16.23 17.19
4-May-15 169500 16.62 16.95 16.52 16.61 1 5 6 Jun-15 3727800 17.30 18.40 15.18 15.98
5-May-15 120800 16.65 16.84 16.40 16.41 2 5 7 Jul-15 3147300 15.68 17.67 15.09 17.20
6-May-15 174200 16.45 17.02 16.45 16.88 3 5 8 Aug-15 2001400 17.21 18.24 15.80 17.52
7-May-15 143200 16.98 17.00 16.71 16.95 4 5 9 Sep-15 3530100 17.52 18.02 15.25 16.70
8-May-15 263800 16.95 17.20 16.73 16.86 5 5 10 Oct-15 2325900 16.70 17.75 16.50 17.75
11-May-15 125600 16.86 16.99 16.72 16.87 1 5 11 Nov-15 1597500 17.50 18.11 16.81 17.57
12-May-15 126300 16.62 16.86 16.61 16.75 2 5 12 Dec-15 3508400 17.55 20.99 17.50 20.53
13-May-15 168200 16.85 16.99 16.79 16.90 3 5 1 Jan-16 2234600 20.50 23.65 20.50 21.80
14-May-15 151900 16.88 16.95 16.83 16.85 4 5 2 Feb-16 1389100 21.80 23.73 20.44 23.54
15-May-15 86400 16.89 16.92 16.75 16.75 5 5 3 Mar-16 2711500 23.55 26.47 23.00 25.80
18-May-15 77600 16.75 16.99 16.75 16.92 1 5 4 Apr-16 1984900 25.80 26.47 23.95 24.47
19-May-15 150200 17.22 17.22 16.64 16.83 2 5
20-May-15 188800 16.78 17.22 16.64 17.14 3 5
21-May-15 93100 17.10 17.11 16.76 16.76 4 5
22-May-15 363700 16.70 17.18 16.70 17.13 5 5
25-May-15 124700 17.09 17.09 16.73 16.83 1 5
26-May-15 178600 16.90 17.00 16.23 16.75 2 5
27-May-15 214400 16.80 17.85 16.80 17.60 3 5
28-May-15 82000 17.50 17.50 16.77 16.80 4 5
29-May-15 104900 16.90 17.30 16.90 17.19 5 5
1-Jun-15 71200 17.30 17.30 17.13 17.20 1 6
2-Jun-15 110200 17.25 17.45 17.23 17.42 2 6
3-Jun-15 83700 17.40 17.53 17.30 17.40 3 6
4-Jun-15 56300 17.43 17.45 17.13 17.40 4 6
5-Jun-15 176300 17.50 18.24 17.50 18.24 5 6
8-Jun-15 107900 18.15 18.40 17.60 17.65 1 6
9-Jun-15 127600 17.70 17.90 17.24 17.80 2 6
10-Jun-15 78600 17.85 17.93 17.58 17.60 3 6
11-Jun-15 65600 17.60 17.72 17.45 17.67 4 6
12-Jun-15 94100 17.70 17.70 17.45 17.50 5 6
15-Jun-15 222800 17.00 17.10 15.90 16.39 1 6
16-Jun-15 190400 16.55 17.30 16.55 17.15 2 6
17-Jun-15 722500 15.80 16.00 15.31 16.00 3 6
18-Jun-15 222100 15.80 15.97 15.61 15.97 4 6
19-Jun-15 210200 15.97 16.05 15.65 16.03 5 6
22-Jun-15 237700 15.85 16.00 15.66 15.80 1 6
23-Jun-15 97700 15.80 16.01 15.79 16.00 2 6
24-Jun-15 163900 15.97 16.01 15.69 15.70 3 6
25-Jun-15 155200 15.65 16.00 15.65 15.78 4 6
26-Jun-15 184200 15.78 15.90 15.51 15.64 5 6
29-Jun-15 172100 15.41 15.50 15.18 15.20 1 6
30-Jun-15 177500 15.40 15.98 15.40 15.98 2 6
1-Jul-15 138800 15.68 16.00 15.50 15.56 3 7
2-Jul-15 166200 15.45 15.59 15.09 15.50 4 7
3-Jul-15 107400 15.70 16.07 15.70 15.91 5 7
6-Jul-15 296500 15.65 16.09 15.65 16.00 1 7
7-Jul-15 154800 16.05 16.05 15.35 15.54 2 7
8-Jul-15 242800 15.49 16.15 15.47 15.99 3 7
9-Jul-15 92400 15.99 16.55 15.90 16.16 4 7
10-Jul-15 232100 15.95 16.58 15.87 16.01 5 7
13-Jul-15 214200 16.00 16.40 15.91 16.15 1 7
14-Jul-15 150500 16.10 16.35 15.80 16.33 2 7
15-Jul-15 127900 16.27 16.75 16.23 16.55 3 7
16-Jul-15 139600 16.45 16.81 15.82 16.01 4 7
17-Jul-15 110800 16.02 16.82 16.02 16.65 5 7
20-Jul-15 81600 16.45 16.80 16.30 16.37 1 7
21-Jul-15 69600 16.27 16.45 16.12 16.14 2 7
22-Jul-15 98100 16.29 16.68 16.25 16.51 3 7
23-Jul-15 84900 16.50 16.70 16.31 16.54 4 7
24-Jul-15 56900 16.54 16.54 15.95 16.45 5 7
27-Jul-15 75700 16.30 16.42 16.00 16.42 1 7
28-Jul-15 58300 16.40 16.64 16.05 16.56 2 7
29-Jul-15 138000 16.81 17.67 16.81 17.33 3 7
30-Jul-15 135600 17.45 17.58 16.70 17.29 4 7
31-Jul-15 174600 17.29 17.36 16.95 17.20 5 7
3-Aug-15 91200 17.21 17.35 16.82 17.30 1 8
4-Aug-15 46200 17.40 17.40 17.05 17.13 2 8
5-Aug-15 118600 17.10 17.45 16.70 17.40 3 8
6-Aug-15 75100 17.35 17.55 17.10 17.30 4 8
7-Aug-15 334600 16.00 17.00 15.80 16.90 5 8
10-Aug-15 166800 17.00 17.72 16.73 17.10 1 8
11-Aug-15 139700 17.15 17.38 16.95 16.95 2 8
12-Aug-15 67000 16.85 16.98 16.45 16.90 3 8
13-Aug-15 62900 16.90 16.99 16.88 16.93 4 8
14-Aug-15 111800 16.94 17.26 16.84 17.15 5 8
17-Aug-15 72300 17.15 17.58 17.15 17.24 1 8
18-Aug-15 71600 17.34 17.54 17.26 17.45 2 8
19-Aug-15 84000 17.45 17.70 17.35 17.70 3 8
20-Aug-15 28900 17.80 18.20 17.80 18.03 4 8
21-Aug-15 57100 17.95 18.24 17.84 17.98 5 8
24-Aug-15 115500 17.80 17.86 17.49 17.70 1 8
25-Aug-15 95100 17.70 17.71 17.51 17.65 2 8
26-Aug-15 99500 17.70 18.04 17.28 17.29 3 8
27-Aug-15 63900 17.25 17.90 17.25 17.56 4 8
28-Aug-15 42300 17.40 17.85 17.36 17.68 5 8
31-Aug-15 57300 17.58 17.65 17.25 17.52 1 8
1-Sep-15 54000 17.52 17.52 17.32 17.36 2 9
2-Sep-15 144300 17.41 17.55 17.25 17.54 3 9
3-Sep-15 156900 17.54 18.02 17.20 18.02 4 9
4-Sep-15 139700 18.00 18.01 17.33 17.50 5 9
7-Sep-15 229500 17.40 17.60 17.17 17.34 1 9
8-Sep-15 224000 17.30 17.34 16.85 16.85 2 9
9-Sep-15 685600 15.25 16.19 15.25 16.19 3 9
10-Sep-15 250700 15.95 16.00 15.82 15.93 4 9
11-Sep-15 128800 15.85 15.90 15.55 15.80 5 9
14-Sep-15 159700 15.65 15.77 15.30 15.71 1 9
15-Sep-15 170200 15.75 16.47 15.56 16.04 2 9
16-Sep-15 106800 15.90 16.33 15.88 16.00 3 9
17-Sep-15 90400 16.00 16.37 16.00 16.26 4 9
18-Sep-15 86700 16.17 16.94 16.17 16.76 5 9
21-Sep-15 100800 16.60 16.73 16.25 16.70 1 9
22-Sep-15 190200 16.75 17.05 16.75 16.94 2 9
23-Sep-15 77000 16.90 17.00 16.66 16.80 3 9
24-Sep-15 157900 16.65 16.84 16.49 16.71 4 9
25-Sep-15 59200 16.70 16.88 16.70 16.71 5 9
28-Sep-15 86100 16.71 16.95 16.70 16.70 1 9
29-Sep-15 88100 16.70 16.94 16.65 16.74 2 9
30-Sep-15 143500 16.70 16.76 16.40 16.70 3 9
1-Oct-15 167600 16.70 16.84 16.50 16.83 4 10
2-Oct-15 114100 16.83 16.88 16.67 16.88 5 10
5-Oct-15 167700 16.80 17.15 16.80 17.10 1 10
6-Oct-15 84800 17.10 17.10 17.00 17.10 2 10
7-Oct-15 82400 17.10 17.29 17.05 17.25 3 10
8-Oct-15 64600 17.20 17.35 17.10 17.35 4 10
9-Oct-15 62500 17.25 17.44 17.19 17.44 5 10
12-Oct-15 72100 17.39 17.39 17.01 17.35 1 10
13-Oct-15 130500 17.35 17.50 17.30 17.50 2 10
14-Oct-15 98200 17.40 17.50 17.17 17.44 3 10
15-Oct-15 123200 17.44 17.50 17.25 17.50 4 10
16-Oct-15 112000 17.50 17.60 17.35 17.56 5 10
19-Oct-15 61100 17.56 17.70 17.47 17.56 1 10
20-Oct-15 75600 17.56 17.65 17.50 17.62 2 10
21-Oct-15 67800 17.62 17.62 17.44 17.59 3 10
22-Oct-15 109100 17.55 17.59 17.25 17.39 4 10
23-Oct-15 61700 17.42 17.45 17.17 17.29 5 10
26-Oct-15 220200 17.19 17.39 17.00 17.00 1 10
27-Oct-15 127400 17.00 17.14 16.91 17.01 2 10
28-Oct-15 72000 17.01 17.10 17.00 17.00 3 10
29-Oct-15 170500 17.07 17.35 17.00 17.33 4 10
30-Oct-15 80800 17.30 17.75 17.20 17.75 5 10
2-Nov-15 77400 17.50 17.63 17.39 17.55 1 11
3-Nov-15 77200 17.59 18.10 17.55 18.00 2 11
4-Nov-15 77300 17.85 18.11 17.70 17.75 3 11
5-Nov-15 62300 17.55 17.99 17.55 17.73 4 11
6-Nov-15 67300 17.75 18.00 17.75 17.80 5 11
9-Nov-15 48300 17.82 17.82 17.40 17.66 1 11
10-Nov-15 39700 17.70 17.74 17.39 17.74 2 11
11-Nov-15 50400 17.75 17.94 17.38 17.63 3 11
12-Nov-15 54200 17.60 17.60 17.03 17.03 4 11
13-Nov-15 79900 17.03 17.48 17.03 17.26 5 11
16-Nov-15 83800 17.30 17.60 17.20 17.60 1 11
17-Nov-15 50100 17.60 17.60 17.00 17.00 2 11
18-Nov-15 174500 17.00 17.40 16.99 17.19 3 11
19-Nov-15 83000 17.22 17.22 16.90 16.95 4 11
20-Nov-15 73100 17.05 17.36 16.90 17.02 5 11
23-Nov-15 31600 17.02 17.20 16.98 17.20 1 11
24-Nov-15 66600 17.15 17.25 17.00 17.09 2 11
25-Nov-15 111200 17.15 17.25 17.00 17.25 3 11
26-Nov-15 84400 17.25 17.40 17.00 17.20 4 11
27-Nov-15 92100 17.25 17.41 17.06 17.15 5 11
30-Nov-15 113100 17.15 18.10 16.81 17.57 1 11
1-Dec-15 61400 17.55 17.70 17.52 17.60 2 12
2-Dec-15 53000 17.50 17.83 17.50 17.70 3 12
3-Dec-15 96000 17.80 18.14 17.77 18.00 4 12
4-Dec-15 146400 17.95 18.26 17.89 18.10 5 12
7-Dec-15 264700 18.10 18.25 18.00 18.24 1 12
8-Dec-15 315400 18.24 18.38 18.06 18.36 2 12
9-Dec-15 220200 18.36 19.02 18.36 19.02 3 12
10-Dec-15 296000 18.90 19.11 18.73 18.94 4 12
11-Dec-15 288900 18.94 20.00 18.65 19.95 5 12
14-Dec-15 164800 19.85 19.95 19.40 19.61 1 12
15-Dec-15 158000 19.81 20.49 19.36 19.85 2 12
16-Dec-15 210700 19.95 20.09 19.31 19.40 3 12
17-Dec-15 195700 19.30 19.82 18.86 19.53 4 12
18-Dec-15 134800 19.38 20.05 19.38 19.70 5 12
21-Dec-15 126800 19.62 20.05 19.54 19.90 1 12
22-Dec-15 161600 19.75 20.10 19.53 20.05 2 12
23-Dec-15 139500 19.98 20.13 19.80 20.10 3 12
24-Dec-15 166500 20.10 20.99 20.10 20.95 4 12
25-Dec-15 39800 20.80 20.80 20.55 20.76 5 12
28-Dec-15 14100 20.77 20.77 20.56 20.56 1 12
29-Dec-15 100200 20.45 20.74 19.32 20.63 2 12
30-Dec-15 67800 20.60 20.94 20.40 20.41 3 12
31-Dec-15 86100 20.45 20.80 20.45 20.53 4 12
1-Jan-16 80500 20.50 21.15 20.50 20.93 5 1
4-Jan-16 177600 20.97 21.30 20.85 21.00 1 1
5-Jan-16 147200 21.05 21.15 20.88 20.98 2 1
6-Jan-16 84600 20.95 21.40 20.95 21.40 3 1
7-Jan-16 149400 21.45 21.86 21.40 21.49 4 1
8-Jan-16 87000 21.45 21.85 21.39 21.50 5 1
11-Jan-16 68700 21.50 21.52 21.15 21.15 1 1
12-Jan-16 63100 21.10 21.27 21.08 21.16 2 1
13-Jan-16 173500 21.20 22.55 21.19 22.46 3 1
14-Jan-16 134300 22.46 22.80 22.30 22.79 4 1
15-Jan-16 120400 22.95 23.25 22.82 22.83 5 1
18-Jan-16 103600 22.85 22.85 22.34 22.61 1 1
19-Jan-16 115300 22.81 23.65 22.81 22.97 2 1
20-Jan-16 101000 23.00 23.62 23.00 23.60 3 1
21-Jan-16 60800 23.50 23.65 23.10 23.32 4 1
22-Jan-16 72700 23.35 23.35 22.85 23.05 5 1
25-Jan-16 108200 23.20 23.35 22.11 22.27 1 1
26-Jan-16 72900 22.32 22.33 21.69 21.73 2 1
27-Jan-16 153900 21.67 21.95 21.10 21.90 3 1
28-Jan-16 83800 21.90 22.30 21.80 21.91 4 1
29-Jan-16 76100 22.00 22.10 21.30 21.80 5 1
1-Feb-16 31900 21.80 21.93 21.45 21.61 1 2
2-Feb-16 103500 21.56 21.60 21.06 21.25 2 2
3-Feb-16 67200 21.40 21.58 21.30 21.40 3 2
4-Feb-16 72100 21.20 21.85 21.15 21.70 4 2
5-Feb-16 32200 21.65 21.79 21.44 21.60 5 2
8-Feb-16 43500 21.60 21.70 21.28 21.55 1 2
9-Feb-16 61200 21.55 21.79 21.46 21.74 2 2
10-Feb-16 63200 21.70 21.70 21.06 21.30 3 2
11-Feb-16 51700 21.37 21.43 20.93 21.07 4 2
12-Feb-16 39200 21.20 21.71 21.20 21.57 5 2
15-Feb-16 30700 21.60 21.80 21.19 21.40 1 2
16-Feb-16 46300 21.40 21.68 20.86 21.09 2 2
17-Feb-16 63100 21.19 21.19 20.70 20.70 3 2
18-Feb-16 95600 20.60 21.09 20.44 20.80 4 2
19-Feb-16 46500 20.85 21.28 20.70 20.99 5 2
22-Feb-16 155100 21.04 22.40 21.00 22.33 1 2
23-Feb-16 94500 22.33 22.85 22.33 22.52 2 2
24-Feb-16 59100 22.49 22.85 22.38 22.38 3 2
25-Feb-16 85300 22.40 23.17 22.35 23.10 4 2
26-Feb-16 59500 23.05 23.18 22.99 23.16 5 2
29-Feb-16 87700 23.00 23.73 23.00 23.54 1 2
1-Mar-16 152800 23.55 23.80 23.48 23.54 2 3
2-Mar-16 83800 23.48 24.08 23.46 23.94 3 3
3-Mar-16 73700 23.95 24.15 23.89 23.90 4 3
4-Mar-16 87700 23.90 24.12 23.78 23.79 5 3
7-Mar-16 79200 23.80 24.34 23.45 23.54 1 3
8-Mar-16 88700 23.49 23.53 23.25 23.45 2 3
9-Mar-16 63800 23.45 23.95 23.35 23.94 3 3
10-Mar-16 77200 23.90 23.90 23.40 23.40 4 3
11-Mar-16 96000 23.55 23.59 23.25 23.37 5 3
14-Mar-16 81900 23.37 23.75 23.37 23.62 1 3
15-Mar-16 117400 23.65 23.65 23.11 23.47 2 3
16-Mar-16 82400 23.60 23.60 23.00 23.15 3 3
17-Mar-16 112300 23.25 23.62 23.02 23.21 4 3
18-Mar-16 160400 23.08 23.47 23.00 23.10 5 3
21-Mar-16 124900 23.20 23.29 23.05 23.25 1 3
22-Mar-16 87000 23.35 23.64 23.32 23.61 2 3
23-Mar-16 212600 23.70 23.84 23.11 23.80 3 3
24-Mar-16 171700 23.85 24.35 23.84 24.05 4 3
25-Mar-16 155400 24.06 24.29 23.86 24.11 5 3
28-Mar-16 140900 24.15 24.50 23.90 23.94 1 3
29-Mar-16 246400 24.14 25.36 24.14 25.35 2 3
30-Mar-16 152600 25.15 26.47 25.15 25.94 3 3
31-Mar-16 62700 25.95 26.05 25.72 25.80 4 3
1-Apr-16 138200 25.80 26.03 25.68 25.91 5 4
4-Apr-16 126000 26.05 26.46 25.55 25.95 1 4
5-Apr-16 50000 26.15 26.15 25.62 25.63 2 4
6-Apr-16 32800 25.78 26.05 25.68 25.86 3 4
7-Apr-16 64300 25.90 25.90 24.96 24.96 4 4
8-Apr-16 246400 24.14 25.36 24.14 25.35 5 4
11-Apr-16 152600 25.15 26.47 25.15 25.94 1 4
12-Apr-16 62700 25.95 26.05 25.72 25.80 2 4
13-Apr-16 138200 25.80 26.03 25.68 25.91 3 4
14-Apr-16 126000 26.05 26.46 25.55 25.95 4 4
15-Apr-16 50000 26.15 26.15 25.62 25.63 5 4
18-Apr-16 32800 25.78 26.05 25.68 25.86 1 4
19-Apr-16 64300 25.90 25.90 24.96 24.96 2 4
20-Apr-16 42800 25.00 25.05 24.77 25.00 3 4
21-Apr-16 108300 25.03 25.03 24.54 24.64 4 4
22-Apr-16 96500 24.75 25.20 24.55 25.20 5 4
25-Apr-16 85700 25.24 25.64 25.12 25.55 1 4
26-Apr-16 75000 25.63 25.72 24.51 24.52 2 4
27-Apr-16 95700 24.56 24.73 24.01 24.70 3 4
28-Apr-16 101900 24.73 24.90 24.06 24.41 4 4
29-Apr-16 94700 24.55 24.64 23.95 24.47 5 4

TheZone Stock Summary

Volume 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 3412000 3727800 3147300 2001400 3530100 2325900 1597500 3508400 2234600 1389100 2711500 1984900 Open 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 16.899999999999999 17.3 15.68 17.21 17.52 16.7 17.5 17.55 20.5 21.8 23.55 25.8 High 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 17.850000000000001 18.399999999999999 17.670000000000002 18.239999999999998 18.02 17.75 18.11 20.99 23.65 23.73 26.47 26.47 Low 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 16.23 15.18 15.09 15.8 15.25 16.5 16.809999999999999 17.5 20.5 20.440000000000001 23 23.95 Close 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 17.190000000000001 15.98 17.2 17.52 16.7 17.75 17.57 20.53 21.8 23.54 25.8 24.47

1
2
3
4
5
6
A
B
Consumer Purchases by Category
Sales in millions of dollars
2009
Equipment
18,971
Footwear
12,816

Chapter # 3

Ch 3: Determining Effective Data Display with Charts: Marketing: Analyzing Trends in the Sporting Goods Industry

These videos covers the material for the Chapter # 3 of the book. I recommend that you see each video as many times as you need before start doing the assignments.

Level 1: Visualizing Data.
Click over the picture to see the video
Level 2: Evaluating Chart Sub-Types.
Click over the picture to see the video

Thank you !

Now you are ready to do the assignments.
Good Luck!

Level
# 1
Return to Main Page

Level
# 2
Return to Main Page

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fill:#4472C4;
}
.MsftOfcThm_Accent1_Stroke {
stroke:#4472C4;
}

Week # 4 – Chapter # 3 Assignments

This week we cover Chapter 3 “Determining Effective Data Display with Charts”
where we will take a Marketing example and use Excel to Analyze Trends in the
Sporting Goods Industry. We will cover Levels 1 and 2 only.

Power Points are available in Blackboard Lectures and, video tutorials guiding you
through the Learning part of each level of each chapter are available on youtube.com.
See your course Syllabus for the link.

WATCH THE VIDEOS– WATCH THE VIDEOS — WATCH THE VIDEOS.
Use the Chapter # 3 – Videos presentation to see the videos if you prefer.

Let us get started:
========================

==================================================================

NOTE: Create a Word Document named: 3-Essay-Chapter3-YourName for

all the essay parts (Answer questions).

Week # 4 – Chapter # 3 Assignments

Chapter # 3 – Level 1: Objectives
 Understand the principles of effective data display (page 157)
 Analyze various Excel chart types (page 161)
 Determine appropriate uses for different chart types (page 163 – 164)
 Modify the chart type and the chart source data (page 167 – 176)
 Specify chart options, including chart and axis titles, legends, and data labels

Level One: LEARNING

The material covered the Case Scenario in Level 1 (pages 155-176) “Visualizing Data”. The
CH03 Level 1 Figures.xlsx file in Lectures (Student Data Files Chapter Three or attached to your
assignment) replicates all the Figures in this section so you can easily follow along with the
textbook discussions

You should read learning material on pages 155-176 and the youtube.com video tutorial for
this level.
Use the attached presentation in Level 1 to see the video Level 1: “Visualizing Data”
Or use the link:
https://www.youtube.com/watch?v=0sGfUAp5-

h4&list=PLnz4OKywJPqsAcTWt_cFbq8pArR8auh8d&index=7

Level One: PRACTICE:

Using the Week # 4 – Chapter 3 – Exercises
Make the Exercise Ch3-1: Level 1 –Industry Trend Charts

Post your completed file to Blackboard for review and grading.
The file Name should be 3-1- Industry-Trends-YourName.xlsx
POST A COPY OF YOUR WORK TO BLACKBOARD FOR REVIEW AND GRADING (40 POINTS)

==================================================================

Week # 4 – Chapter # 3 Assignments

Chapter # 3 – Level 2: Objectives
 Examine the effectiveness of different chart sub-types
 Evaluate the stacked and 100% stacked sub-types
 Explore the Pie of Pie and Bar of Pie sub-types
 Create various stock charts to display financial data
 Clarify data with trend lines and moving averages

Level Two: LEARNING

The material covered in Level 2: Evaluating Chart Sub-Types on pages 177 to 194. The CH03
Level 2 Figures.xlsx file in Lectures (Student Data Files Chapter Three or attached to your
assignment) replicates all of the Figures in this section so you can easily follow along with the
textbook discussions.

You should read the learning material covered on pages 177-194 and the youtube.com
video tutorial for this level.
Use the attached presentation in Level 2 to see the video Level 2: Evaluating Chart Sub-
Types
Or use the link:

index=8

Level Two: PRACTICE

Using the Week # 4 – Chapter 3 – Exercises
Make the Exercise Ch3-2: Level 2 – Customer Purchases Charts

Post your completed file to Blackboard for review and grading.
The file Name should be 3-2- Consumer-Purchaser-YourName.xlsx
POST A COPY OF YOUR WORK TO BLACKBOARD FOR REVIEW AND GRADING (40 POINTS)

==================================================================

Week # 4 – Chapter # 3 Assignments

Answer the following question in the Word Document 3-Essay-Chapter3-YourName
Questions for Chapter 3:

1. List and describe the significance of each of Tufte’s five data graphics principles.
(10 POINTS)

2. What are the different types of Charts exposure in the book, and give a brief
description of each of them? (10 POINTS)

Let me know if there is anything you do not understand — the earlier the better. ALWAYS attach a copy of
yours excel file clearly indicating where you have a problem.

The solution files that you need to attach are:
3-1-Industry-Trends-YourName.xlsx (40 points)
3-2-Customer-Purchaser -YourName.xlsx (40 points)
3-Essay-Chapter3-YourName (20 points)

1

WEEK # 4 – EXERCISES CHAPTER # 3

Exercise Ch3-1:

Level 1 – Industry Trend Charts

In these steps, you need to prepare some charts showing trends in the sporting goods industry. A
workbook containing a variety of information on industry-wide trends has already been created.
You will begin with data showing the number of people who participate in a variety of sports and
activities.

Complete the following:
1. Open the workbook named Trends-1.xlsx attached with the data of the assignment, and then

save the file as 3-1- Industry-Trends-YourName.xlsx. Review the data sets on the four
worksheets. You need to determine the most important information in each worksheet and select
the best method for displaying that information in a chart. Remember that you can use charts to
display single data series, compare multiple data series, show trends, and compare the percentage
contribution to the whole.

2. The 2017 Participation worksheet contains participation data for a variety of sports, ranked in
descending order by the values in the Total column.

a) Create a column chart, a bar chart, and a line chart from the data. Place each chart on the
same worksheet as the source data.

b) In an area below each chart, explain what the chart type emphasizes about the data. Decide
which chart is the best choice for comparing each sport’s participation level.

c) Re-create the chart selected and place it on a separate chart sheet named 2017
Participation Chart as the first worksheet in the Industry Trends workbook, and add
appropriate y-axis and chart titles to finalize the chart.

d) Return to the 2017 Participation worksheet, and in an area below the chart you selected to
place on the chart sheet, explain the advantages and any disadvantages of this chart.

3. The 10-Year Participation worksheet contains sports participation data over a 10-year period,
with values shown for every other year, for a variety of sports.

a) Add Sparkline’s for each sport category in the worksheet. Highlight the high, low, and last
data point in each of the Sparkline’s.

b) Insert the chart that best illustrates the participation changes in each sport over the 10-year
period. Place this chart on the same worksheet as the source data. Add appropriate titles
and a legend to finalize the chart.

c) To the right of the chart, compare the information provided by the Sparkline’s with that
provided by your chart.

d) Explain the advantages and disadvantages of these visual presentations in this specific
instance.

4. The Female Sports Participation worksheet shows the changes in female sports participation
between 2011 and 2017.

a) Create a chart that shows the changing trends in the percentage of female participation in
each sport.

b) Place this chart on the same worksheet as the source data. Add appropriate titles to finalize
the chart.

c) In a cell below the chart, explain the advantages and any disadvantages of the chart type
you chose.

2

WEEK # 4 – EXERCISES CHAPTER # 3

5. The Purchases by Sport worksheet shows the dollar amount of consumer equipment
purchases for 2015, 2016, and 2017.

a) Create an appropriate chart to compare the contribution of each sport and illustrate the
changes in consumer purchases from year to year.

b) Place this chart on the same worksheet as the source data.
c) Add appropriate titles and a legend to finalize the chart.
d) To the right of the chart, explain the advantages and any disadvantages of the chart type

you chose.

6. Add your name and date at the end of the exercise

7. Save and close the 3-1- Industry-Trends-YourName.xlsx workbook.

3

WEEK # 4 – EXERCISES CHAPTER # 3

Exercise Ch3-2: Level 2 – Customer Purchases Charts
In these steps, you will work with the same consumer equipment purchasing data used to complete
the Pie of Pie chart that Michelle worked on earlier. This data and the Pie of Pie chart are contained
in the Excel workbook named Purchase.xlsx. You’ll use this data to create a Bar of Pie chart. This
same workbook contains detailed purchasing data broken out by age and gender for the following:
footwear, camping, fitness, and golf. You’ll use this data to create charts that illustrate the
relationship between age and gender. The goal is to apply Tufte’s principles to effectively present
this quantitative information.

Complete the following:
1. Open the workbook named Purchases-1.xlsx attached with the data of the assignment, and then

save the file as 3-2- Consumer-Purchaser-YourName.xlsx. Review the data sets on the six
worksheets. You need to determine which chart sub-types covered in Level 2 will best illustrate the
most important information in each worksheet.

2. The Pie of Pie worksheet contains the consumer purchase data organized by sport that Michelle
used to create the Pie of Pie chart earlier. Use this data to create a Pie of Pie chart for the 2015
data. Place this chart on the same worksheet as the source data. Format the chart to look like the
chart shown in Figure 3.24. Include the chart title 2015 Consumer Purchases by Sport on your
chart.

3. Use the data found on the Purchases by Sport worksheet to create a Bar of Pie chart that
illustrates the percentage contribution by each sport to the total purchase amount. Create one Bar
of Pie chart for each year. Place the three charts on the same worksheet as the source data.
Include a chart title and data labels for each chart that are similar to the ones you included in the
Pie of Pie chart in Step 2.

4. The Footwear Purchases worksheet contains percentage data for footwear purchases organized
by age groups and gender. The data also includes a breakout of the age and gender of the U.S.
population by percentage.
Create a clustered column chart, a stacked column chart, and a 100% stacked column chart to
compare the purchases by different age groups each year with the U.S. population.

4

WEEK # 4 – EXERCISES CHAPTER # 3

Place the three charts on the same worksheet as the source data. Include appropriate titles and a
legend in each chart. In a cell below each chart, explain what you think the chart illustrates.

5. The Camping Purchases worksheet contains percentage data for camping purchases organized
by age groups and gender. The data also includes a breakout of the age and gender of the U.S.
population by percentage.
Create an area chart, a stacked area chart, and a 100% stacked area chart to compare the
purchases by different age groups each year with the U.S. population. Place the three charts on
the same worksheet as the source data. Include appropriate titles and a legend in each chart. In a
cell below each chart, explain what you think the chart illustrates.

6. The Fitness Purchases worksheet contains percentage data for fitness purchases organized by
age groups and gender. The data also includes a breakout of the age and gender of the U.S.
population by percentage.
Create a line chart, a stacked line chart, and a 100% stacked line chart to compare the purchases
by different age groups each year with the U.S. population. Place the three charts on the same
worksheet as the source data. Include appropriate titles and a legend in each chart. In a cell below
each chart, explain what you think the chart illustrates.

7. The Golf Purchases worksheet contains percentage data for golf purchases organized by age
groups and gender. The data also includes a breakout of the age and gender of the U.S. population
by percentage.
Create a doughnut chart and one other chart of your choice to compare the purchases by gender
each year with the U.S. population. Place the two charts on the same worksheet as the source
data. Include appropriate titles and a legend in each chart. In a cell below each chart, explain what
you think the chart illustrates.

8. Add your name and date at the end of the exercise

9. Save and close the 3-2- Consumer-Purchaser-YourName.xlsx workbook.

Determining Effective Data
Display with Charts

Chapter 3

Chapter Introduction

• Creating effective charts that show
quantitative information clearly, precisely, and
efficiently

• Basics of creating and modifying line and
column charts

• Influence of chart type on the viewer’s
perception

Succeeding in Business with Microsoft Excel 2013: Chapter 3 2

Chapter Introduction (continued)

• How charts can be used in specific situations

• Building a management dashboard by
combining different chart types within the
same chart

To go to Level 1, click here

To go to Level 2, click here

To go to Level 3, click here

Succeeding in Business with Microsoft Excel 2013: Chapter 3 3

Chart Types Covered in This Chapter

• Area
• Bubble
• Column
• Combo
• Doughnut
• Line
• Pie
• Radar
• Stock
• X Y (Scatter)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 4

Level 1 Objectives:

Visualizing Data

• Understand the principles of effective data
display

• Analyze various Excel chart types

• Determine appropriate uses for different chart
types

• Modify the chart type and the chart source
data

• Specify chart options, including chart and axis
titles, legends, and data labels

Succeeding in Business with Microsoft Excel 2013: Chapter 3 5

Visualizing Data

Succeeding in Business with Microsoft Excel 2013: Chapter 3 6Level 1 home

Visualizing Data (continued)

• Data graphics principles (Tufte)

– Above all else, show the data

– Maximize the data-ink ratio, within reason

Erase non-data-ink, within reason

– Erase redundant data-ink, within reason

– Revise and edit

Succeeding in Business with Microsoft Excel 2013: Chapter 3 7Level 1 home

Visualizing Data (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 8Level 1 home

Effective Data Display

• “Above all else show the data”

– Reminder not to clutter a chart by adding
unnecessary illustration or decoration

• “Maximize the data-ink ratio”

– Refers to the portion of ink that is devoted to
displaying the data versus the portion of the
graphic that can be removed without losing the
data

Succeeding in Business with Microsoft Excel 2013: Chapter 3 9Level 1 home

Effective Data Display (continued)

• “Erase non-data-ink”

– Non-data-ink is a part of the chart that decorates
more than informs

• “Erase redundant data ink”

– Redundant data ink is ink that repeats information

• “Revise and edit”

– Revise and edit charts like you would a piece of
writing

Succeeding in Business with Microsoft Excel 2013: Chapter 3 10Level 1 home

Effective Data Display (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 11Level 1 home

Effective Data Display (continued)

• Sparklines

– Small word-sized charts or graphics that are
embedded within the words, numbers, and
images they represent

– Make multiple comparisons of trends and patterns
much easier

Succeeding in Business with Microsoft Excel 2013: Chapter 3 12Level 1 home

Effective Data Display (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 13Level 1 home

Effective Charting in Excel

• Creating a chart in Excel:

– Select the data to display

– Click the INSERT tab

– Click a button in the Charts group or the Dialog
Box Launcher

Succeeding in Business with Microsoft Excel 2013: Chapter 3 14Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 15Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 16Level 1 home

Effective Charting in Excel (continued)

• Line chart: displays trends over time or by
category

• Column chart: compares values across
categories in a vertical orientation

Succeeding in Business with Microsoft Excel 2013: Chapter 3 17Level 1 home

Effective Charting in Excel (continued)

• Comparing line and X Y (Scatter) charts:

– X Y (Scatter) charts plot numeric values on both
the x- and y-axes based on the value of the data

– Line charts plot numeric values on one axis and
category labels equidistantly on the other axis

Succeeding in Business with Microsoft Excel 2013: Chapter 3 18Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 19Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 20Level 1 home

Effective Charting in Excel (continued)

• Specifying chart layout options:

– Click the Chart Elements button

Succeeding in Business with Microsoft Excel 2013: Chapter 3 21Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 22Level 1 home

Effective Charting in Excel (continued)

• Understanding area and pie charts:

– Area chart: combines the features of a line chart
with a bar or column chart by filling in the area
below the line, and displaying the trend values
over time or categories

– Pie chart: displays the percentage contribution
that each category makes to a whole or 100%

Succeeding in Business with Microsoft Excel 2013: Chapter 3 23Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 24Level 1 home

Effective Charting in Excel (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 25Level 1 home

Level 1 Summary

• Using charts to illustrate quantitative information
adds visual analysis to problem solving

• Tufte’s guiding principles on the creation of
graphics

• How the choice of chart type can influence the
viewer’s perception of information presented

• Differences between main chart types

• Different interpretation of data can result from
using a different chart type

Succeeding in Business with Microsoft Excel 2013: Chapter 3 26

Level 2 Objectives:
Evaluating Chart Sub-Types

• Examine the effectiveness of different chart
sub-types

• Evaluate the stacked and 100% stacked
sub-types

• Explore the Pie of Pie and Bar of Pie sub-types

• Create various stock charts to display financial
data

• Clarify data with trendlines and moving
averages

Succeeding in Business with Microsoft Excel 2013: Chapter 3 27

Examining Sub-Types
for Various Chart Types

Stacked charts • Illustrate cumulative effects of data in
categories

• Available for line, bar, column, and area charts

Summing to 100%

(100% stacked

sub-type)

• Illustrate cumulative (rather than individual)
contribution for each category as a

percentage

• Available for line, bar, column, and area charts
• Combine features of a pie chart with features

of line, column, or area charts

• Similar to a pie chart except pieces are in a
column instead of a circle

Succeeding in Business with Microsoft Excel 2013: Chapter 3 28Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 29Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

• Summing to 100%: alternatives to pie charts

– Showing the cumulative contribution for each
category as a percentage can reduce confusion
over whether the line on the chart represents the
individual or cumulative contribution to the whole

Succeeding in Business with Microsoft Excel 2013: Chapter 3 30Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 31Level 2 home

An excessive number of pie slices makes the chart cluttered and confusing.

Examining Sub-Types
for Various Chart Types (continued)

• Pie of Pie and Bar of Pie chart sub-types

– Decrease the number of pie segments to improve
the visual display of data

– Use the Format Data Series task pane to select
options for splitting: data series

• Position

• Value

• Percent Value

• Custom

Succeeding in Business with Microsoft Excel 2013: Chapter 3 32Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

• Doughnut charts

– Show individual percentages contained in a pie
chart for more than one series

Succeeding in Business with Microsoft Excel 2013: Chapter 3 33Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

• Monitoring a business with stock charts

– Excel stock reporting charts are somewhat based
on the candlestick plot format

– Stock chart sub-types:

• High-Low-Close

• Open-High-Low-Close

• Volume-High-Low-Close

• Volume-Open-High-Low-Close

Succeeding in Business with Microsoft Excel 2013: Chapter 3 34Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 35Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 36Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 37Level 2 home

• Using a combo chart

Examining Sub-Types
for Various Chart Types (continued)

• Trendlines

– Graphically illustrate trends in data using a
statistical technique known as regression

• Moving average trend line

– Used to smooth out the data, making it easier to
spot trends

Succeeding in Business with Microsoft Excel 2013: Chapter 3 38Level 2 home

Examining Sub-Types
for Various Chart Types (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 39Level 2 home

• Adding trendlines and moving averages

Level 2 Summary

• Chart sub-types for line, column, and area
charts (stacked and 100% stacked)

• Pie of Pie and Bar of Pie chart sub-types

• Sub-types of stock charts

• Clarifying data in stock charts using trendlines
and moving averages

Succeeding in Business with Microsoft Excel 2013: Chapter 3 40

Level 3 Objectives:
Exploring More Advanced Chart Types

• Understand and evaluate radar, bubble, and
dashboard charts

• Compare a bubble chart with a 3-D column
chart

• Explore and customize a dashboard chart

• Create and customize a doughnut chart

Succeeding in Business with Microsoft Excel 2013: Chapter 3 41

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts

Radar charts Powerful method of displaying and

comparing data across categories

Bubble charts Allow three-dimensional data to be

plotted in 2-D on two axes

Dashboard charts Feature a set of charts that

summarize several sets of data

graphically

Succeeding in Business with Microsoft Excel 2013: Chapter 3 42Level 3 home

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Understanding radar charts

Succeeding in Business with Microsoft Excel 2013: Chapter 3 43Level 3 home

The straight lines that radiate out from the center represent categories.

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Plotting 3-D data in two axes: bubble charts
versus 3-D column charts

Succeeding in Business with Microsoft Excel 2013: Chapter 3 44Level 3 home

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Sample bubble chart

Succeeding in Business with Microsoft Excel 2013: Chapter 3 45Level 3 home

The market share of each shoe style is represented by the size of the bubbles.

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Creating a management dashboard:

– Build a dashboard chart

– Define the normal operating range

– Create the value indicator

– Create the doughnut chart

– Add digital values to the chart

Succeeding in Business with Microsoft Excel 2013: Chapter 3 46Level 3 home

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Build a dashboard chart

Succeeding in Business with Microsoft Excel 2013: Chapter 3 47Level 3 home

Evaluating the Effectiveness of Radar, Bubble,
and Dashboard Charts (continued)

• Define the normal operating range

Succeeding in Business with Microsoft Excel 2013: Chapter 3 48Level 3 home

Level 3 Summary

• More advanced chart types

– Radar charts

– Bubble charts

• How to combine chart types within the same
chart to build a management dashboard

Succeeding in Business with Microsoft Excel 2013: Chapter 3 49

Chapter Summary

• Charts offer the opportunity to add visual
analysis to problem solving

• Chart types:
– Line

– Column

– Bar

– Area

– Pie

– X Y (Scatter)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 50

Chapter Summary (continued)

• Chart sub-types further summarize the data
being presented

• Advanced chart types such as radar and
bubble charts

Succeeding in Business with Microsoft Excel 2013: Chapter 3 51

Chapter Summary (continued)

Succeeding in Business with Microsoft Excel 2013: Chapter 3 52

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Here is what we have achieved so far. These numbers are evidence that we go the extra mile to make your college journey successful.

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Happy Clients

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Ongoing Orders

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Customer Satisfaction Rate
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Process as Fine as Brewed Coffee

We have the most intuitive and minimalistic process so that you can easily place an order. Just follow a few steps to unlock success.

See How We Helped 9000+ Students Achieve Success

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We Analyze Your Problem and Offer Customized Writing

We understand your guidelines first before delivering any writing service. You can discuss your writing needs and we will have them evaluated by our dedicated team.

  • Clear elicitation of your requirements.
  • Customized writing as per your needs.

We Mirror Your Guidelines to Deliver Quality Services

We write your papers in a standardized way. We complete your work in such a way that it turns out to be a perfect description of your guidelines.

  • Proactive analysis of your writing.
  • Active communication to understand requirements.
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We Handle Your Writing Tasks to Ensure Excellent Grades

We promise you excellent grades and academic excellence that you always longed for. Our writers stay in touch with you via email.

  • Thorough research and analysis for every order.
  • Deliverance of reliable writing service to improve your grades.
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