Home Statistics Concepts and Descriptive Measures - TDMaddox

Statistics Concepts and Descriptive Measures – TDMaddox

2

>Consumer Food

= NE 2 = MW

= S

= W

9

0

1 1

9

1 1

7

06

9

1 1

2

9

1 1

8

1 1

6

0

9

1 1

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4

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6

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14

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684

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1 1

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76

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55

3

1 1

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94

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1 1

1 1

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1 1

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69

1 1

19

87

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1 1

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33

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47

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4

55

1 2

52

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31

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553

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65

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68

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5188

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6

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5

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52

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8

90

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4 2

4 2

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9908

4 2

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

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26 87 16 14
14

 11 7

 40 41 21 83
13 55 6

 31 82 1

 88 66
15 19 79 64 2

1

89
26

 94 25 81 8

 77
9

 12 5

7

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 76
13

 51 7

20 27 68
63 3

 80 46 8

 54
76

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 24 28
43 4

 140 6

 99
38 29 48
66

 74 49 246 13

 59
73 47 414 91 408
2911 2

 67 1

58
8026 48

7

 53 167
85 555 16

 78
10

 34 71 214
86 50 98 191
8821 46403 7

8

 17
8678 51

92 1

 44
14

 33 847 17

2

95
96 5

90 62 166
9

 286 57 141 61
820 58

355 19

 538
164 8

 169 151
12

 75 6

9522 146
177 9

613
77

 39 5

779 220
153 8

827 189
457 32 7

 97
116 65
128 699 273 30
16

232 91

 108 9876
9621 5

407 1

9908
8

 171 4

 72 178
121 77

427 3

134
864 59805 496
124 60 334 663
9

 185 54

 114 185

 93
7862 40680 1

520
9

775 58

 263 148
6771 5

200 21

713
3059 396 12

 179
13

211 703 1

322
7408 46450 5

602
115 76140 338
142 808 1

 147
3

 352 31899 2

762
2

630 216 2663
9093 6

592 113
126 65

923 5

132
9559 62811 1

 261
6

 112 4

 233 3

 149
104 65134 15

196
12630 64621 2

 143
4578 36 5

502
9551 62910 1

1

 37
102 70727 1

 328
576 118
101 56

549 16

 136
8955 5

966 1

162
10

 197 5

735 184
11

234 56

 447 10871
9

320 611
9089 5

 152 4902
1

2

300 799 172
11484 66733 15

 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
4261 38

223 8576
9830 66787 1178
12

386 7

785 936
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416
109 570 9018
9910 6426 127
9928 75881 174
4

264 34343 213
797 41

 243 210
8290 5

302 2015
1266 66991 925
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838
9784 583 160
9

 187 50477 9407
5866 39112 20

409
9

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188 11668
6270 347
9518 62348 5201
10968 78704 170
8865 5

362 32004
922 5

 157 159
4913 34761 17704
6976 609 1779
815 51281 8167
288 25013 18763
806 59238 10815
8895 47

344 1

 181
8

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 139
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339 2

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573
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647
1

 129 728 2

 123
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 954 22218
4693 39343 24696
5

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437
1

 186 55021 35576
130 77

605
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859
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3681 36

 479 17950
5549 40381 14

257
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314 4

1421 2

247
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 175
503 6

404
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8043 51836 262
9552 73600 3

637
51873 296
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3

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107 7

515 10659
6888 44974 23711
5479 48923 4594
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376 2

 122
10650 759 3

335
41423 336
5

311 401 17791
4691 36772 5829
8056 596 1

959
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 306
8112 59067
8696 65962
5869 37

 254 10157
377 3

356 14143
1

182 56934
1

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756
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5762 38407 18867
1

1

617 78627 1189
9895 47

710 229
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 168
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13

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 154
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100 495 1

 219
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378
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235
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 105 4553
15397 70500 120
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1

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 228
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15696 72774 17793
9

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 607
1252 66891 176
10210 674 19

995
8

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38987 17864
110 64867
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258 27076 17534
1

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 203
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 342
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943
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284 22349
6026 46238 20

 165
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10217 77716 18

516
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4017 364 9935
10906 5

340 18177
1

514 712 6696
8830 66759 20972
848 57616 2876
1

1358 76221 1

373
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6969 55164 24795
13219 61171 21482
3543 3

4093 25969
7

326 50647 10750
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11766 52884 25970
73629 7112

Financial

6

2

4

2.08

3

19

6

6

1

6

7

0

0.2

0.6

6

7.1

9

3 1.4

4

1.4

7

6

1.4

2

6.1

7

1.1

7

72

22

3.8

3.8

5

6

9

2.6

5

2.3

5

7

2

1

775

0.1

3 954

2.4

0.9

7

0

3

6

8

2 1.1

3

8

1.8

1

18

1.2

1

0.4 0.16

3

8

2

7.7 3.6

3

1.2

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

3.1

2

19

2.6 1.01 14.5

7

9

3.9 0.9

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

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10 1 1 1 48

21

257

233

11 1 1 1 56

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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

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16 6 1 1 16 342 11

16

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17 6 3 1 167 8426 84

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18 6 2 1 444

219

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19 6 3 1 236

112

20 6 3 1 247

124

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21 6 3 1 93

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325

22 6 2 1 236

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23 6 2 1 220

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24 6 1 1 228

140

671

25 6 3 1 83 2648 28

300

26 6 2 1 273

154

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27 6 2 1 225

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28 6 3 1 236

144

29 6 3 1 80

42

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94

354

30 6 2 1 78 7761 77

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31 5 2 1 197

32 5 2 1 60

27

503

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33 5 2 1 31

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126 8496

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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

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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

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Wk 1 – Statistics Concepts and Descriptive Measures [due Mon]

Top of Form

Bottom of Form

Assignment Content

1.

Top of Form

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. 

Assignment Steps

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

Resource: Microsoft Excel®, Statistics Concepts and Descriptive Measures Data Set

Download the Statistics Concepts and Descriptive Measures Data Set. 

Choose one of the following datasets to complete this assignment:

· Consumer Food

· Financial

· Hospital

Answer each of the following in a total of 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 

Submit your assignment.

Bottom of Form

Statistics Concepts and Descriptive Measures Grading Guide

QNT/561 Version 9

Applied Business Research and Statistics

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

Writing Guidelines

Met

Partially Met

Not Met

Comments:

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.

Total Available

Total Earned

 

35

#/35

Assignment Total

#

120

#/120

Additional comments:

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