Statistics

Assistant with Statistics Assignment

2

>Consumer Food

= NE 2 = MW

= S

= W

9

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Annual Food Spending ($) Annual Household Income ($) Non mortgage household debt ($) Region:

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1 3 4 Location: 1 = Metro 2 = Outside Metro
8 9 0 5 6 69 7 23 18
56 84 35 45 70 52
10 5

 26 87 16 14
14

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 40 41 21 83
13 55 6

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15 19 79 64 2

1

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63 3

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 54
76

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66

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 78
10

 34 71 214
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8

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 44
14

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2

95
96 5

90 62 166
9

 286 57 141 61
820 58

355 19

 538
164 8

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12

 75 6

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177 9

613
77

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153 8

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 97
116 65
128 699 273 30
16

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 108 9876
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 171 4

 72 178
121 77

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134
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124 60 334 663
9

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 93
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520
9

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 263 148
6771 5

200 21

713
3059 396 12

 179
13

211 703 1

322
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602
115 76140 338
142 808 1

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3

 352 31899 2

762
2

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9093 6

592 113
126 65

923 5

132
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 261
6

 112 4

 233 3

 149
104 65134 15

196
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4578 36 5

502
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1

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102 70727 1

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576 118
101 56

549 16

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162
10

 197 5

735 184
11

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9

320 611
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1

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 145
11

215 7

535 156
40795 8975
5579 39128 6576
117 75482 12

508
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399
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 671
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223 8576
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12

386 7

785 936
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416
109 570 9018
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4

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797 41

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8290 5

302 2015
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838
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9

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409
9

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6270 347
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8865 5

362 32004
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 157 159
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6976 609 1779
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288 25013 18763
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8

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257
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314 4

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247
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404
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637
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3

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335
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5

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959
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1

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1

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1

1

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13

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1

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9

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8

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258 27076 17534
1

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 342
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 165
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516
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9048 42106 19786
4017 364 9935
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340 18177
1

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8830 66759 20972
848 57616 2876
1

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373
1055 78202 5920
6969 55164 24795
13219 61171 21482
3543 3

4093 25969
7

326 50647 10750
8458 59898 22940
11766 52884 25970
73629 7112

Financial

6

2

4

2.08

3

19

6

6

1

6

7

0

0.2

0.6

6

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3 1.4

4

1.4

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6

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2

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3 954

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1

18

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8

2

7.7 3.6

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2

53

2.08 2.1

2

8

3

16

3

1

12.3

1

2

6.1 0.33

3

4.2

1.8

6

12.3

0.2

7

1

0.5

7

2.8

3

9

9

12.2

3.7

1

1.3 0.7 0.2 22

2 966 613 228

1.1

4

7.9 1.18 2.4

4

2

6.9

1.2

2

1

1.3

3 179 326 8.3

14

4 3226

1.4 1.5

2

1

47

2.2 1

3

8 1.66 6.6 1.5

6

14.5

2.3 1.04 13.3

5

1.5

24.1

6

1.8

1

1

10.6

2.3

26.7

6

0.4

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2

19

2.6 1.01 14.5

7

9

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5

8

1.7

16

1

2.4 1.2 16.2

5

11 1.59 1.2 0.5 26

1

7.9

2.1 1.19 16.3

5

37

1.7

2

6

12.6 2.47 2.9 0.6 8.3

7

3.1

2

4

7.2 0.48 1.1 0.5

2

2805 12.3

1 0.36

7

12.3

2.6

18

5 555 848

0.9 0.16 22.4

2

1

25 2.1 2.6 1

3 799

6.8 1.6

3 2587

4.1 0.9 14.4

2

3 2.8 1.2 14.5

6

16

1.5 0.6

5

713 9.4 0.6 1.4

3

5.2

1

7.7 2.1 3.8

26.9

7

6

1.6 1 17.1

5

6

27.9 1.7 1.1 0.68

5

80

5.8

3.1 1.08

7

3

6 129 194

1.48 1.5 0.35 16.3

2

2.3

3

11.4 1.8 7.7

12

6

0.3

17

2

0

2.13 2.2

13.4

4 2300 885

1.8 0.32 17

5

1.5

1

0

0

1.8

17.4

5 980

20.5

0.3

7

18 2.7 2.8 1 13

6

14.7 1.8 0.9 0.3

7

3.1

11.5

1

1.75 0.6

6

2.39 1.7

14.2

7

0.8 0.24 23

6

0.9 0.4 17

7

9.5

3.5 1.1

2

1.6 0.79

5 1172 1726 7.5

0.5 0.16 29

7 6064

2 0.8

6

1.3

17

7

4

12.6

2.4

19.8

7

9.6

1.2

17.2

5

1.04 1.4

4

972 9.2

3

2

4.8

1.8 0.35 20.5

4 13219

2.7

27.2

2

14

2.9

6 601 1252 7.8 1.57 3.7 1 17

Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio
AFLAC 7

251 29454 1

7.1 2.08 0.9 0.2 1

 1.5
Albertson’s 14690 5219 2

 1.4 1.6 0.6
Allstate 20106 80918 2

0.1 3.5 0.3 10.6
Amerada Hess 834 7935 0.08 1.1 69

 8.3
American General 3362 80620 2.1 2

 1.2
American Stores 19139 8536 1

 2.2 1.01 0.34 23.5
Amoco 36287 32489 16.7 2.7 3.1 1

 6.1
Arco Chemical 3995 4116 6.2 1.14 2.8 4

 0.4
Ashland 14

319 7777 9.5 3.8 2.3 1

 2.4
Atlantic Richfield 192 253 2

 1.8 5.41 2.83
Bausch & Lomb 1916 2773 0.8 2.6 1.04
Baxter International 6

 138 8707 11.5 1.06 1.13 4

7.2
Bristol-Myers Squibb 16

701 1497 44.4 3.14 1.52 2

4.1
Burlington Coat 1777 12.3 1.18 0.02 1

 2.9
Central Maine Power 2299 0.16 7.8 7

9.6
Chevron 4

195 35473 18.6 4.95 2.28 1

5.2
CIGNA 14935 108

199 1

 3.7 4.8 11.4
Cinergy 4353 885 13.3 1.59 5.1 22.4
Dayton Hudson 27757 14191 1.7 0.33 16.2
Dillard’s 6817 5592 9.2 2.31 15.7
Dominion Resources 767 20

193 7.9 2.15 6.8 2.58 1

 7.7
Dow Chemical 20018 24040 2

3.6 3.24 11.6
DPL 1356 3585 1

3.9 5.3 0.91 14.3
E. I. DuPont DeNemours 466 42942 2

 1.3 1.23 27.9
Eastman Chemical 467 5778 16.3 3.63 1.76
Edison International 9235 2

510 1.73 4.2 13.6
Engelhard 3631 2586 1.9 0.38 61.8
Entergy 9

562 27001 1.03 6.9 25.4
Equitable 9666 15

1438 2.86 0.5 13.4
Ethyl 1064 1067 53.6 0.7 5.6 12.6
Exxon 137 242 9

6064 1

9.4 3.37 1.63 17.1
FPL Group 636 1

 244 3.57 1.92 14.4
The GAP 6508 3338 33.7
Georgia Gulf 2.39 0.32 11.8
GIANT Food 4

 231 1522 0.78 26.9
A & P 1026 2995 1.66 0.35 17.8
Great Lakes Chemicals 131 2270 5.5 1.19 0.62 40.5
Green Mountain Power Company 1.57 7.3 1.61
Hannaford Bros. 1227 9.9 0.54 2

6.6
Hercules 1866 241 3.18 14.5
Houston Industries 6873 18

 415 13.7
Jefferson-Pilot 2578 23131 3.47
Johnson & Johnson 22629 21

453 26.7 2.41 0.85
Liberty 660 3185 11.1 3.34 0.77 12.7
The Limited 9189 430 0.79 0.48
Lincoln National 4899 77175 0.21 1.96 300.2
Lubrizol 1674 1462 2.66
Lyondell Petrochemical 3010 155 46.2 3.58 6.4
Mallinkrodt 1868 298 14.8 2.47 0.66
May Department Stores 12685 9930 20.5 3.11
McKesson 20857 5608
Mercantile Stores 3144 2178 3.53
Merck 236 25

812 36.6 3.74 1.69 26.6
Millennium Chemicals 3048 432
Mobil 65906 43559 16.8 4.01 2.12 17.2
Monsanto 7514 1077 90.7
Morton 2388 1.48 25.2
Murphy Oil 2138 2238 2.94 1.35
Mylan Laboratories 13.5 0.82
NALCO Chemical 1434 441 18.3
Nevada Power 2339 10.1 1.65 14.2
NIPSCO 4937 14.1 1.53
Olin 2410 1946 17.4
Orion Capital 1591 3884 4.15 9.8
Owens & Minor 3117 0.18 21.7
Pacific Corporation 6278 13880 0.68 4.6 1.08 34.2
J. C. Penney 30546 23493 2.13
Pennzoil 2654 440 1

5.8 3.76
Pfizer 12504 1533 35.4
Pharmacia & Upjohn 6710 103 0.61 56.2
Phillips Petroleum 15424 13

860 19.9 3.61 1.34 12.4
Poe & Brown 25.1
PPG 7379 6868 28.5 3.94 1.33 14.7
PP&L Resources 3049 9

485 1.67
Progressive 4

 190 7560 18.7 5.31 0.24
Rohm & Haas 3999 390 19.8 0.63
Ruddick 12.5 1.02
Schering-Plough 6778 6

507 51.2 1.95 0.74 24.6
Sears, Roebuck 41296 387 20.3 2.99 0.92
Stryker 985 1.28 0.11 27.2
Sun 10531 4667
Sunamerica 2114 35637 19.5
Texaco 46667 29600 20.9 4.87 1.75
The TJX Companies 7389 2610 26.3 0.09 8.2
Torchmark 2283 10967 1

7.5 0.59
Tosco 13282 5975 10.9 1.37
Travelers 37609 386555 14.9 2.54
Ultramar Diamond Shamrock 10882 5595 1.94 16.1
Union Carbide 6502 6964 28.8 4.53 10.7
United States Surgical Corporation 1.21
UNOCAL 7530 28.9 2.65 15.5
UNUM 4077 13200 15.2 2.59 0.56
USX-Marathon 1

575 10565 1.58 0.76
Valero Energy 5756 2493 2.03 0.42
Warner-Lambert 8

 180 8031 30.7 0.51 35.7
WEIS Markets 1819 1.87 0.94 16.9
Wellman 1083 1319 0.97
Winn-Dixie Stores 2921 15.3 1.36 0.98
WITCO 2187 2298 1.55 1.12 24.9
Zenith Nation Insurance

Hospital

Hospital

1 1 2 1 210

107

31

1

2 1 1 1 347 16065

1077

3 1 2 1

356

65

4 1 1 1 142

100

355

328

5 7 1 1 40 905 9

50

168

181

6 4 2 1 220

3

159

7

0

1077

7 4 4 1 137

65

735

19

742

8 4 2 1 80 636 48

1

2768 131

9 1 2 1 440

253

3

2

10 1 1 1 48

21

257

233

11 1 1 1 56

7 27

169

241

12 6 3 1 46

4

30

430

203

13 6 3 1 109 2805 43

0

325

14 6 2 1 306

233

15 6 4 1 7 756 2

211

0

347

16 6 1 1 16 342 11

16

2015 79

17 6 3 1 167 8426 84

505

18 6 2 1 444

219

0

19 6 3 1 236

112

20 6 3 1 247

124

0

75

99

959

21 6 3 1 93

50

325

22 6 2 1 236

142

954

23 6 2 1 220

3

24 6 1 1 228

140

671

25 6 3 1 83 2648 28

300

26 6 2 1 273

154

753

27 6 2 1 225

3

607

28 6 3 1 236

144

29 6 3 1 80

42

995

94

354

30 6 2 1 78 7761 77

408

31 5 2 1 197

32 5 2 1 60

27

503

386

33 5 2 1 31

15

126 8496

144

34 2 2 1 264

179

35 2 2 1 246

175

36 2 2 1 556

37 1 3 2 56 860 32 5778 0

96

38 1 2 1 120 5502 74

0

39 1 1 1 674

414

44

40 1 2 1 414

253

1074

41 1 3 1 320

180

1421

1

42 1 1 1

184

762

5

43 1 2 1 344

243

44 1 2 1 168

115

496

670

45 1 1 1 315

215

3

1653

46 1 3 2 88

48

0

167

47 1 3 1 245

124

793

48 1 2 1 311 15196 189

4

841

49 1 1 1 233

181

113

50 1 1 1 46 812 9

0

93

51 1 3 1 103

28

0

373

52 1 2 1

288

173 20848

263

53 1 1 1 186

108

1064

943

54 1 2 1 177

154

04

759

605

55 7 2 1 149

76

1

596

56 7 3 1 286

165

57 3 1 2

508 295 0 0

568

58 3 3 1 242

101

1

0

507

59 3 2 1 128

69

8

7

479

60 3 2 1 33 925 12

99

7

136

61 3 2 1 255

185

62 3 2 1

378

63 3 2 1 191 9899 114

1308

885

64 3 3 2 60

49

0

243

65 3 2 1 155

106

66 3 2 1 626

91

67 3 2 1 105 1456 43

126

337

68 3 4 1 59

29

556

69 3 2 1 258

125

70 3 2 1 47

17

415

322

71 3 1 1 22

10

216

185

72 3 3 1 53

14

339

205

73 3 1 1 244

1

173

4

74 3 2 1 352

207

7

75 3 2 1 366 7284 223

815

76 3 2 1 194

82

520

712

77 3 1 1 109 458 64

35

156

78 3 2 1 285

139

79 3 2 1 175 8080 109

793

875

80 3 1 2 342

298 0 0

790

81 3 3 1 140 2876 52

0

4

308

82 3 1 1 50 404 34

14

70

83 3 1 2 214 794 168 0 0

5

494

84 3 3 2 80 746 21

0

111

85 1 4 1 467

2

390

0

86 1 1 1 80 823 47

0

244

87 1 2 1 160

80

776

525

88 1 3 1 106 3870 50

451

89 1 3 2 40 859 113

0

9

94

90 1 2 1 99

45

145

7925 297

91 1 1 1 133

76

847

92 1 3 1 138

129

1

234

93 2 2 1 88

60

319

401

94 2 2 1 573

418

1

95 2 2 1 44 1497 17

295

7700 198

96 2 2 1 225

138

496

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66073 2648 41417 20633
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Individual Assignment: Statistics Concepts and Descriptive Measures

Purpose of Assignment

The purpose of this assignment to orient students to the key concepts in statistics. This assignment will introduce students to the language of statistics. Students will also get a chance to warm-up on evaluating some basic descriptive statistics using Excel prior to the course start.

Resources Required

· Microsoft Excel®

· Statistics Concepts and Descriptive Measures Data Set

Grading Guide

Content

Met

Partially Met

Not Met

Comments:

This assignment has an Excel® dataset spreadsheet attached. Students will be required to do one of the three datasets only and submit.

 

Download the Consumer Food, Financial, or Hospital Excel® Data Set.

Note: you have to work on only ONE dataset and not ALL.

Answer each of the following in a total 90 words:

· For each column, identify whether the data is qualitative or quantitative.

· Identify the level of measurement for the data in each column.

· For each column containing quantitative data:

· Evaluate the mean and median

· Interpret the mean and median in plain non-technical terms

· Use the Excel =AVERAGE function to find the mean

· Use the Excel =MEDIAN function to find the median

· For each column containing quantitative data:

· Evaluate the standard deviation and range

· Interpret the standard deviation and range in plain non-technical terms

· Use the Excel =STDEV.S function to find the standard deviation

For range (maximum value minus the minimum value), find the maximum value using the Excel =MAX function and find the minimum value using the Excel’s =MIN function

Total Available

Total Earned

85

#/85

Met

Partially Met

Not Met

Comments:

Total Available

Total Earned

 

Writing Guidelines

The paper—including tables and graphs, headings, title page, and reference page—is consistent with APA formatting guidelines and meets course-level requirements.

Intellectual property is recognized with in-text citations and a reference page.

Paragraph and sentence transitions are present, logical, and maintain the flow throughout the paper.

Sentences are complete, clear, and concise.

Rules of grammar and usage are followed including spelling and punctuation.

35

#/35

Assignment Total

#

120

#/120

Additional comments:

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