Statistics Analysis

 In preparation for writing your report to senior management next week, conduct the following descriptive statistics analyses with Excel®. Answer the questions below in your Excel sheet or in a separate Word document:

  • Insert a new column in the database that corresponds to “Annual Sales.” Annual Sales is the result of multiplying a restaurant’s “SqFt.” by “Sales/SqFt.”
  • Calculate the mean, standard deviation, skew, 5-number summary, and interquartile range (IQR) for each of the variables.
  • Create a box-plot for the “Annual Sales” variable. Does it look symmetric? Would you prefer the IQR instead of the standard deviation to describe this variable’s dispersion? Why?
  • Create a histogram for the “Sales/SqFt” variable. Is the distribution symmetric? If not, what is the skew? Are there any outliers? If so,which one(s)? What is the “SqFt” area of the outlier(s)? Is the outlier(s)smaller or larger than the average restaurant in the database? What can you conclude from this observation?
  • What measure of central tendency is more appropriate to describe “Sales/SqFt”? Why?

2

>Chart

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Data

Sheet_

/

/

0

7:

9.

6

7

.4

8

.2

9

.3

4

81

.4

0

999

2

.3

70 28

1

29

8

28

60

70

29

80 36

7

45

80 22

22

88 78

37

42 35

24

68 32

06

17

80

37

84 32

45

22

35

2

36

84 24

34

78 16

9

26

80 39

20

70 70

20

33

93

26

56 12

65 32

37.7 37

62 0

34

20

34

76 24

35 30

36

16

34

28

66

90

36

70 28

23

18

60 15

00

36

10

1

18

76 0

24

68 16

22

64 0

29

52 36

78 26

33.9 28

64 28

35 40

82 32

35 39

86 30

35.9 30

92 16

33 17

72 10

30.9 22

90 24

29

64 20

80 20

32.1 29

30

34.8 18

70 26

38 19

62 26

49

37 34

68 20

25

74 24

0

36.4 30

84 14

4

21

70 32

32.2 30

96 32

34.8 30

70 22

28

76 32

857

31

62 28

12

16

92 23

39 31

60 20

34.9 40

54 15

33

23

35.6 28

78 0

36 23

72 31

16

74 29

25

0

40.5 25

80 16

32.9 18

0

30.3 15

46 20

36.2 19

66 0

32.4 27

63 28

21

72 15

29

76 24

31.4 15

61237235

775

1306853

934

55399284

22178495

06742745

16197419

0.0168615273

0.0506037738

0.0844037498

0.1183004556

0.152333674

0.1865443062

0.220974732

0.2556692022

0.2906742745

0.3260393031

0.3618169976

0.3980640685

0.4348419815

0.4722178495

0.5102654979

0.5490667518

0.588713006

0.6293071641

0.6709660579

0.7138235056

0.7580342264

0.8037789242

0.8512709934

0.9007655189

0.952571595

1.0070695657

1.0647357757

1.1261791757

33804168

1.1921973902

1.2638662791

1.3426905457

1.4308738679

1.5318456091

1.6514108613

1.8007082352

904495556

2.0061237235

95939607

2.3669115357

66 18

31
69 16

41.2 20
67 10

24
70 4

29
78 0 50999 31.5 18
62 28

30
70 28

35.1 14
84 29 50975 37.6 33
68 22

34.9 28
60 42

34.8 29
80 36 78497 36.2 39
64 32

32.2 23
80 22 33003 30.9 22
88 78 90988 37.7 37
42 35 37950 34.3 24
68 32

32.4 17
80 48 79312 32.1 37
84 32 37345 31.4 22
35 27

30.4 36
84 24 70024 33.9 34
78 16

35.6 26
80 39 54932 35.9 20
70 70 34097 33.6 20
76 33

37.9 26
56 12 51893 40.6 21
65 32 88162 37.7 37
62 0 89016 36.4 34
66 20

40.9 34
76 24 75366 35 30
92 36

26.4 16
112 34 49956 37.1 28
66 15 45990 30.3 36
70 28 45723 31.3 18
60 15

29.6 36
86 10 68711 32.9 18
76 0 65150 40.7 24
68 16 39329 29.3 22
64 0 63657 37.3 29
52 36 67099 39.8 25
78 26 75151 33.9 28
64 28 93876 35 40
82 32 79701 35 39
86 30 77115 35.9 30
92 16 52766 33 17
72 10 32929 30.9 22
90 24 87863 38.5 29
64 20 73752 40.5 19
80 20 85366 32.1 29
102 30 39180 34.8 18
70 26 56077 38 19
62 26

37 34
68 20 56822 34.7 25
74 24

36.4 30
84 14 55584 36.8 21
70 32 78001 32.2 30
96 32 75307 34.8 30
70 22 76375 36.7 28
76 32 61857 33.8 31
62 28

34.2 16
92 23 72040 39 31
60 20 92414 34.9 40
54 15 92602 39.3 33
110 23 59599 35.6 28
78 0

36 23
72 31 67925 41.1 16
74 29 42631 24.7 25
94 0 75652 40.5 25
80 16 39650 32.9 18
124 0 48033 30.3 15
46 20 67403 36.2 19
66 0 80597 32.4 27
63 28 60928 43.5 21
72 15 73762 41.6 29
76 24 64225 31.4 15

-259.9497306439

-188.5900144767

-178.1863109741

-165.2888689211

-156.2930386781

-147.1995334043

-145.0204151759

-132.7962270775

-132.5838765031

-127.8657575015

-124.4916500844

-123.016384493

-118.431306853

-110.8440652315

-110.1477551652

-109.3430277914

-105.1097263145

-104.7616892077

-100.1917272772

-96.9455399284

-78.5222407532

-66.833182556

-63.9367962151

-54.9666697606

-49.5089341383

-43.817663257

-30.5622414309

-29.7056802184

-28.8211160258

-21.3829190469

56692022

-20.8096302471

-18.0336858908

-16.4732294274

-15.5268611118

-12.5832024808

-11.5991899485

-10.6416197419

-6.4663288735 0.0168615273
6.6082090726 0.0506037738
10.1026389027 0.0844037498
10.1556691582 0.1183004556
11.5424324103 0.152333674
13.4792557233 0.1865443062
15.0213966843 0.220974732
18.9663798116 0.2556692022
19.2122025279 0.2906742745
19.5938287738 0.3260393031
19.7419844304 0.3618169976
23.7470781354 0.3980640685
25.1736217387 0.4348419815
28.9194386872 0.4722178495
38.4697564504 0.5102654979
50.9831788417 0.5490667518
53.0357068283 0.588713006
61.102903906 0.6293071641
63.1204953548 0.6709660579
63.8380153718 0.7138235056
71.0833539728 0.7580342264
71.3281648375 0.8037789242
75.1828858929 0.8512709934
75.2802525469 0.9007655189
81.3206554357 0.952571595
81.6351025536 1.0070695657
105.576464442 1.0647357757
115.0253844293 1.1261791757
122.2233804168 1.1921973902
150.1178490106 1.2638662791
180.3934285167 1.3426905457
196.2671375845 1.4308738679
205.7993140008 1.5318456091
234.8563337617 1.6514108613
289.7338930992 1.8007082352
336.0904495556 2.0061237235
372.5195939607 2.3669115357

This worksheet contains values required for MegaStat charts.
Residuals X data

3 1 9 2

 0 7 4 2

5
6 1

8 45 17 34 31
69 16 51 88 41 20
67 10 51

 37 40 24
70 6

 60 35 29
78 50 31.5 18
62 28 41

 56 36 30
44 96 35.1 14
84 50975 37.6 33
68 22 72 80 34.9
42 7

 90 34.8
78

49 36.2 39
64 32 4

 12 32.2 23
33003 30.9
90988 37.7
37950 34.3
4

 52 32.4
48 79312 32.1
3

73 31.4
27 46 26 30.4
70024 33.9
54 82 35.6
54932 35.9
34097 33.6
76 4

 65 37.9
51893 40.6 21
88162
89016 36.4
66 11 43 53 40.9
75366
92 481

 63 26.4
112 49956 37.1
15 4

59 30.3
4

57 31.3
4

 38 29.6
86 68

71 32.9
65150 40.7
39329 29.3
63657 37.3
67099 39.8 25
75151
93876
79701
77115
52766
32929
87863 38.5
73752 40.5 19
85366
102 39180
56077
7

 74
56822 34.7
80

47
55 58 36.8
78001
75307
76375 36.7
61 33.8
6

13 34.2
72040
92414
92602 39.3
110 59599
7

2453
67925 41.1
42631 24.7
94 75652
39650
124 48033
67403
80597
60928 43.5
73762 41.6
64225
NormalPlot data 3/19/2007 7:49.03
-259.9497306439 –

 2.3669115357
-188.5900144767 –

 2.00
-178.1863109741 –

 1.8007082352
-165.2888689211 –

 1.6514108613
-156.2930386781 –

 1.5318456091
-147.1995334043 –

 1.4308738679
-145.0204151759 –

 1.3426905457
-132.796

2270 –

 1.2638662791
-132.5838765031 –

 1.1921973902
-127.8657575015 –

 1.1261791757
-124.4916500844 –

 1.0647357757
-123.016384493 –

 1.0070695657
-1

18.43 –

 0.952571595
-110.8440652315 –

 0.9007655189
-110.1477551652 –

 0.851

2709
-109.3430277914 –

 0.8037789242
-105.1097263145 –

 0.7580342264
-104.7616892077 –

 0.7138235056
-100.1917272772 –

 0.6709660579
-9

 6.94 –

 0.6293071641
-78.5222407532 –

 0.588713006
-66.833182556 –

 0.5490667518
-63.9367962151 –

 0.5102654979
-54.9666697606 –

 0.47
-49.5089341383 –

 0.4348419815
-43.817663257 –

 0.3980640685
-30.5622414309 –

 0.3618169976
-29.7056802184 –

 0.3260393031
-28.8211160258 –

 0.29
-21.3829190469 –

 0.2556692022
-20.8096302471 –

 0.220974732
-18.0336858908 –

 0.1865443062
-16.4732294274 –

 0.152333674
-15.5268611118 –

 0.1183004556
-12.5832024808 –

 0.0844037498
-11.5991899485 –

 0.0506037738
-1

0.64 –

 0.0168615273
-6.4663288735
6.6082090726
10.1026389027
10.1556691582
11.5424324103
13.4792557233
15.0213966843
18.9663798116
19.2122025279
19.5938287738
19.7419844304
23.7470781354
25.1736217387
28.9194386872
38.4697564504
50.9831788417
53.0357068283
61.102903906
63.1204953548
63.8380153718
71.0833539728
71.3281648375
75.1828858929
75.2802525469
81.3206554357
81.6351025536
105.576464442
115.0253844293
12

 2.22
150.1178490106
180.3934285167
196.2671375845
205.7993140008
234.8563337617
289.7338930992
3

36.0
37

2.51
Residuals X data 3/19/2007 8:0

1.41
45177 34.4 51888 51379 40.3 66081 35.4 41562 36.3 44196 72808 79070 41245 45206 46226 54982 46593 114353 48163 43800 77449 80470 61312 72453
NormalPlot data 3/19/2007 8:01.03
-2.3669115357 -2.0061237235 -1.8007082352 -1.6514108613 -1.5318456091 -1.4308738679 -1.3426905457 -1.2638662791 -1.1921973902 -1.1261791757 -1.0647357757 -1.0070695657 -0.952571595 -0.9007655189 -0.8512709934 -0.8037789242 -0.7580342264 -0.7138235056 -0.6709660579 -0.6293071641 -0.588713006 -0.5490667518 -0.5102654979 -0.4722178495 -0.4348419815 -0.3980640685 -0.3618169976 -0.3260393031 -0.2906742745 -0.25 -0.220974732 -0.1865443062 -0.152333674 -0.1183004556 -0.0844037498 -0.0506037738 -0.0168615273

Data

1

45177 34.4 31

2

51888 41.2 20

3 2453

51379 40.3 24

4

66081 35.4 29

5

50999 31.5 18

6

41562 36.3 30

7

44196 35.1 14

8

7.13

50975 37.6 33

9 2709

-0.25

72808 34.9 28

10

2.34

79070 34.8 29

11

0.47

78497 36.2 39

12

41245 32.2 23

13

7.03 0.77

33003 30.9 22

14 2500

90988 37.7 37

15

37950 34.3 24

16 2500

45206 32.4 17

17

2.84 2.22

79312 32.1 37

18

2.07

37345 31.4 22

19

1.94

46226 30.4 36

20

70024 33.9 34

21

54982 35.6 26

22

4.05 2.00

54932 35.9 20

23

34097 33.6 20

24

46593 37.9 26

25

51893 40.6 21

26

88162 37.7 37

27 2400

89016 36.4 34

28 2430

2.04

114353 40.9 34

29

1.41

75366

30

30 2500 7.03

2.05

48163 26.4 16

31

2.13

49956 37.1 28

32

6.94 6.08

45990 30.3 36

33

7.07

45723 31.3 18

34

7.00

1.95

43800 29.6 36

35

2.04

68711 32.9 18

36

65150 40.7 24

37

6.81 6.94 1.95

39329 29.3 22

38 2400

7.12

63657 37.3 29

39 2270

67099 39.8 25

40 2800

75151 33.9 28

41

7.11

93876 35.0 40

42

7.05

79701 35.0 39

43

6.90

77115 35.9 30

44

52766

17

45

6.75

32929 30.9 22

46 2500 7.45

87863 38.5 29

47

7.00

73752 40.5 19

48 2625

2.51

85366 32.1 29

49

39180 34.8 18

50 2625 6.96

56077

19

51

77449

34

52 2500

2.17

56822 34.7 25

53 2450 6.58

2.16

80470 36.4 30

54

0.29

55584 36.8 21

55

78001 32.2 30

56

7.28

75307 34.8 30

57 2500 6.76

2.19

76375 36.7 28

58 2600

61857 33.8 31

59 2800

2.16

61312 34.2 16

60 2986 6.91

72040

31

61

6.77

1.98

92414 34.9 40

62 2300

92602 39.3 33

63

59599 35.6 28

64

6.95

72453 36.0 23

65

7.33

67925 41.1 16

66 2500 6.95

42631 24.7 25

67

75652 40.5 25

68

2.22

39650 32.9 18

69

48033 30.3 15

70

6.93

2.41

67403 36.2 19

71 2400

18.43

80597 32.4 27

72 2450 7.37

1.09

60928 43.5 21

73

6.76

0.64

73762 41.6 29

74 2400

64225 31.4 15

Pastas R Us, Inc. Database (n = 74 restaurants)
Square Feet Per Person Average Spending Sales Growth Over Previous Year (%) Loyalty Card % of Net Sales Annual Sales Per Sq Ft Median HH Income (3 Miles) Median Age (3 Miles) % w/ Bachelor’s Degree (3 Miles)
Obs SqFt Sales/Person SalesGrowth% LoyaltyCard% Sales/SqFt MedIncome MedAge BachDeg%
2354 6.81 -8.31 2.07 701.97
2604 7.57 -4.01 2.54 209.93
6.89 -3.94 1.66 364.92
2340 7.13 -3.39 2.06 443.04
2500 7.04 -3.30 2.48 399.20
2806 6.93 –

1.94 2.96 264.64
2250 7.11 –

0.77 2.28 571.59
2400 -0.37 2.34 642.25
6.58 2.20 461.45
1990 6.77 -0.17 638.82
2392 6.66 2.09 484.38
2408 7.03 0.55 2.47 58

1.09
2627 2.04 267.71
7.00 1.92 2.02 57

2.84
1986 7.38 2.05 2.01 586.48
7.18 2.12 2.64 368.73
2668 7.35 351.47
2517 6.95 2.88 458.24
1251 7.02 3.96 98

7.12
2998 6.85 4.04 2.17 35

7.45
2625 7.16 4.05 0.72 405.77
2300 6.99 680.80
2761 7.28 4.24 1.81 368.02
2764 7.07 4.58 2.13 303.95
2430 7.05 5.09 2.50 393.90
2154 6.54 5.14 2.63 562.12
6.70 5.48 1.95 494.88
6.91 5.86 310.07
2549 7.58 5.91 373.46 35.0
5.98 235.81
3653 6.84 6.08 413.08
2440 2.08 625.22
2600 6.13 2.73 274.30
2160 6.27 542.62
2800 7.08 6.57 178.56
2757 6.75 6.90 1.62 375.33
2450 329.09
7.64 1.64 29

7.37
6.62 7.39 1.78 323.17
6.76 7.67 2.23 468.84
2520 7.91 2.15 352.57
2487 8.08 2.83 380.34
2629 8.27 2.37 398.12
3200 7.17 8.54 3.07 312.15 33.0
2335 8.58 2.19 45

 2.16
8.72 1.28 698.64
2449 8.75 1.76 367.19
6.96 8.79 431.93
3150 7.30 8.90 1.90 367.06
9.12 1.98 400.53 38.0
2741 6.71 9.47 2.41 414.36 37.0
6.82 10.17 481.11
10.66 538.06
2986 7.56 10.97 330.48
2967 6.98 11.34 1.85 249.93
3000 11.45 1.88 291.87
11.51 517.40
6.92 11.73 2.56 551.58
6.73 11.83 386.81
11.95 2.10 427.50 39.0
2223 12.47 453.94
7.33 12.80 0.87 512.46
3799 7.87 13.78 1.07 345.27
2700 14.09 3.38 234.04
2650 14.23 1.17 348.33
14.60 2.14 348.47
2994 7.21 14.88 0.93 294.95
2718 7.25 15.42 361.14
3700 7.65 16.18 1.68 467.71
2000 17.23 403.78
6.79 2.81 245.74
20.76 339.94
2575 25.54 400.82
7.97 28.81 1.77 326.54

Noodles Database – Page &P of &N Printed &D Doane/Seward

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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.
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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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