1. Horseshoe crab data set of Table 4.3
(Here weight is in grams, rather than kg as in the text. Also, color has values 1-5 with 1=light; there were no crabs of color 1, so in the text, color was re-coded as color - 1 to give values 1, 2, 3, 4.)
color spine width satell weight 3 3 28.3 8 3050 4 3 22.5 0 1550 2 1 26.0 9 2300 4 3 24.8 0 2100 4 3 26.0 4 2600 3 3 23.8 0 2100 2 1 26.5 0 2350 4 2 24.7 0 1900 3 1 23.7 0 1950 4 3 25.6 0 2150 4 3 24.3 0 2150 3 3 25.8 0 2650 3 3 28.2 11 3050 5 2 21.0 0 1850 3 1 26.0 14 2300 2 1 27.1 8 2950 3 3 25.2 1 2000 3 3 29.0 1 3000 5 3 24.7 0 2200 3 3 27.4 5 2700 3 2 23.2 4 1950 2 2 25.0 3 2300 3 1 22.5 1 1600 4 3 26.7 2 2600 5 3 25.8 3 2000 5 3 26.2 0 1300 3 3 28.7 3 3150 3 1 26.8 5 2700 5 3 27.5 0 2600 3 3 24.9 0 2100 2 1 29.3 4 3200 2 3 25.8 0 2600 3 2 25.7 0 2000 3 1 25.7 8 2000 3 1 26.7 5 2700 5 3 23.7 0 1850 3 3 26.8 0 2650 3 3 27.5 6 3150 5 3 23.4 0 1900 3 3 27.9 6 2800 4 3 27.5 3 3100 2 1 26.1 5 2800 2 1 27.7 6 2500 3 1 30.0 5 3300 4 1 28.5 9 3250 4 3 28.9 4 2800 3 3 28.2 6 2600 3 3 25.0 4 2100 3 3 28.5 3 3000 3 1 30.3 3 3600 5 3 24.7 5 2100 3 3 27.7 5 2900 2 1 27.4 6 2700 3 3 22.9 4 1600 3 1 25.7 5 2000 3 3 28.3 15 3000 3 3 27.2 3 2700 4 3 26.2 3 2300 3 1 27.8 0 2750 5 3 25.5 0 2250 4 3 27.1 0 2550 4 3 24.5 5 2050 4 1 27.0 3 2450 3 3 26.0 5 2150 3 3 28.0 1 2800 3 3 30.0 8 3050 3 3 29.0 10 3200 3 3 26.2 0 2400 3 1 26.5 0 1300 3 3 26.2 3 2400 4 3 25.6 7 2800 4 3 23.0 1 1650 4 3 23.0 0 1800 3 3 25.4 6 2250 4 3 24.2 0 1900 3 2 22.9 0 1600 4 2 26.0 3 2200 3 3 25.4 4 2250 4 3 25.7 0 1200 3 3 25.1 5 2100 4 2 24.5 0 2250 5 3 27.5 0 2900 4 3 23.1 0 1650 4 1 25.9 4 2550 3 3 25.8 0 2300 5 3 27.0 3 2250 3 3 28.5 0 3050 5 1 25.5 0 2750 5 3 23.5 0 1900 3 2 24.0 0 1700 3 1 29.7 5 3850 3 1 26.8 0 2550 5 3 26.7 0 2450 3 1 28.7 0 3200 4 3 23.1 0 1550 3 1 29.0 1 2800 4 3 25.5 0 2250 4 3 26.5 1 1967 4 3 24.5 1 2200 4 3 28.5 1 3000 3 3 28.2 1 2867 3 3 24.5 1 1600 3 3 27.5 1 2550 3 2 24.7 4 2550 3 1 25.2 1 2000 4 3 27.3 1 2900 3 3 26.3 1 2400 3 3 29.0 1 3100 3 3 25.3 2 1900 3 3 26.5 4 2300 3 3 27.8 3 3250 3 3 27.0 6 2500 4 3 25.7 0 2100 3 3 25.0 2 2100 3 3 31.9 2 3325 5 3 23.7 0 1800 5 3 29.3 12 3225 4 3 22.0 0 1400 3 3 25.0 5 2400 4 3 27.0 6 2500 4 3 23.8 6 1800 2 1 30.2 2 3275 4 3 26.2 0 2225 3 3 24.2 2 1650 3 3 27.4 3 2900 3 2 25.4 0 2300 4 3 28.4 3 3200 5 3 22.5 4 1475 3 3 26.2 2 2025 3 1 24.9 6 2300 2 2 24.5 6 1950 3 3 25.1 0 1800 3 1 28.0 4 2900 5 3 25.8 10 2250 3 3 27.9 7 3050 3 3 24.9 0 2200 3 1 28.4 5 3100 4 3 27.2 5 2400 3 2 25.0 6 2250 3 3 27.5 6 2625 3 1 33.5 7 5200 3 3 30.5 3 3325 4 3 29.0 3 2925 3 1 24.3 0 2000 3 3 25.8 0 2400 5 3 25.0 8 2100 3 1 31.7 4 3725 3 3 29.5 4 3025 4 3 24.0 10 1900 3 3 30.0 9 3000 3 3 27.6 4 2850 3 3 26.2 0 2300 3 1 23.1 0 2000 3 1 22.9 0 1600 5 3 24.5 0 1900 3 3 24.7 4 1950 3 3 28.3 0 3200 3 3 23.9 2 1850 4 3 23.8 0 1800 4 2 29.8 4 3500 3 3 26.5 4 2350 3 3 26.0 3 2275 3 3 28.2 8 3050 5 3 25.7 0 2150 3 3 26.5 7 2750 3 3 25.8 0 2200 4 3 24.1 0 1800 4 3 26.2 2 2175 4 3 26.1 3 2750 4 3 29.0 4 3275 2 1 28.0 0 2625 5 3 27.0 0 2625 3 2 24.5 0 2000
2. Teratology study data set of Table 4.7
litter group n y 1 1 10 1 2 1 11 4 3 1 12 9 4 1 4 4 5 1 10 10 6 1 11 9 7 1 9 9 8 1 11 11 9 1 10 10 10 1 10 7 11 1 12 12 12 1 10 9 13 1 8 8 14 1 11 9 15 1 6 4 16 1 9 7 17 1 14 14 18 1 12 7 19 1 11 9 20 1 13 8 21 1 14 5 22 1 10 10 23 1 12 10 24 1 13 8 25 1 10 10 26 1 14 3 27 1 13 13 28 1 4 3 29 1 8 8 30 1 13 5 31 1 12 12 32 2 10 1 33 2 3 1 34 2 13 1 35 2 12 0 36 2 14 4 37 2 9 2 38 2 13 2 39 2 16 1 40 2 11 0 41 2 4 0 42 2 1 0 43 2 12 0 44 3 8 0 45 3 11 1 46 3 14 0 47 3 14 1 48 3 11 0 49 4 3 0 50 4 13 0 51 4 9 2 52 4 17 2 53 4 15 0 54 4 2 0 55 4 14 1 56 4 8 0 57 4 6 0 58 4 17 0
2. Rajon Rondo assists data set for Exercise 5.3
assists result * 1=win, last 9 observations are playoffs 17 1 9 0 24 1 17 1 15 1 11 1 10 1 15 0 16 1 17 1 13 1 7 0 14 1 12 1 10 1 19 1 13 1 14 1 8 1 14 1 8 1 16 1 23 1 7 1 8 0 12 0 13 1 13 1 12 1 8 1 12 1 9 0 10 1 5 1 6 0 16 1 10 1 12 0 7 1 14 0 10 0 10 1 8 1 15 1 8 0 11 1 11 1 15 1 16 1 8 1 9 0 5 0 3 1 9 0 8 1 6 0 5 1 12 1 11 0 5 0 8 0 14 1 5 0 14 1 13 1 6 0 14 1 5 0 9 1 7 1 20 1 12 1 7 0 12 0 11 1 5 0 3 0 ;
3. Data on Italian credit cards, for Exercise 5.22
income n y 24 1 0 34 7 1 48 1 0 70 5 3 27 1 0 35 1 1 49 1 0 79 1 0 28 5 2 38 3 1 50 10 2 80 1 0 29 3 0 39 2 0 52 1 0 84 1 0 30 9 1 40 5 0 59 1 0 94 1 0 31 5 1 41 2 0 60 5 2 120 6 6 32 8 0 42 2 0 65 6 6 130 1 1 33 1 0 45 1 1 68 3 3
4. Full data set for Table 6.2 on endometrial cancer grade
nv pi eh hg * standardized use nv2=(nv-0.5); pi2=(pi-17.3797)/9.9978; eh2=(eh-1.6616)/.6621;
datalines;
0 13 1.64 0
0 16 2.26 0
0 8 3.14 0
0 34 2.68 0
0 20 1.28 0
0 5 2.31 0
0 17 1.80 0
0 10 1.68 0
0 26 1.56 0
0 17 2.31 0
0 8 2.01 0
0 7 1.89 0
0 20 3.15 0
0 10 1.23 0
0 18 1.27 0
0 16 1.76 0
0 18 2.00 0
0 8 2.64 1
0 29 0.88 1
0 12 1.27 1
0 20 1.37 1
1 38 0.97 1
1 22 1.14 1
1 7 0.88 1
1 25 0.91 1
1 15 0.58 1
0 7 0.97 1
0 28 1.50 0
0 11 1.33 0
0 19 2.37 0
0 10 1.82 0
0 10 3.13 0
0 18 1.31 0
0 14 1.92 0
0 21 1.64 0
0 11 2.01 0
0 17 1.88 0
0 25 1.93 0
0 16 2.11 0
0 19 1.29 0
0 15 1.72 0
0 33 0.75 0
0 24 1.92 0
0 48 1.84 1
0 12 1.11 1
0 19 1.61 1
0 2 1.18 1
1 22 1.44 1
1 40 1.18 1
1 5 0.93 1
1 0 1.17 1
0 21 1.19 1
0 15 1.06 1
0 29 2.02 0
0 15 2.29 0
0 12 2.33 0
0 3 2.90 0
0 20 1.70 0
0 23 1.41 0
0 12 2.25 0
0 22 1.54 0
0 42 1.97 0
0 15 1.75 0
0 13 2.16 0
0 14 2.57 0
0 19 1.37 0
0 12 3.61 0
0 13 2.04 0
0 10 2.17 0
0 12 1.69 1
1 49 0.27 1
0 6 1.84 1
0 5 1.30 1
0 17 0.96 1
1 11 1.01 1
1 21 0.98 1
0 5 0.35 1
1 19 1.02 1
0 33 0.85 1
5. Clinical trials data set of Table 6.9
center treat response count a 1 1 11 a 1 2 25 a 2 1 10 a 2 2 27 b 1 1 16 b 1 2 4 b 2 1 22 b 2 2 10 c 1 1 14 c 1 2 5 c 2 1 7 c 2 2 12 d 1 1 2 d 1 2 14 d 2 1 1 d 2 2 16 e 1 1 6 e 1 2 11 e 2 1 0 e 2 2 12 f 1 1 1 f 1 2 10 f 2 1 0 f 2 2 10 g 1 1 1 g 1 2 4 g 2 1 1 g 2 2 8 h 1 1 4 h 1 2 2 h 2 1 6 h 2 2 1
6. Data set for Exercises 6.3 and 9.13
Premarital Sex
1 2
Religious Attendence 1 2 1 2
Birth control 1 2 1 2 1 2 1 2
1 99 15 73 25 8 4 24 22
Political 2 73 20 87 37 20 13 50 60
Views 3 51 19 51 36 6 12 33 88
7. Data set for Exercise 6.7
<35 35-44 >44 <35 35-44 >44
Region M F M F M F M F M F M F
Northeast
Satisfied 288 60 224 35 337 70 38 19 32 22 21 15
Not satisfied 177 57 166 19 172 30 33 35 11 20 8 10
Mid-Atlantic
Satisfied 90 19 96 12 124 17 18 13 7 0 9 1
Not satisfied 45 12 42 5 39 2 6 7 2 3 2 1
Southern
Satisfied 226 88 189 44 156 70 45 47 18 13 11 9
Not satisfied 128 57 117 34 73 25 31 35 3 7 2 2
Midwest
Satisfied 285 110 225 53 324 60 40 66 19 25 22 11
Not satisfied 179 93 141 24 140 47 25 56 11 19 2 12
Northwest
Satisfied 270 176 215 80 269 110 36 25 9 11 16 4
Not satisfied 180 151 108 40 136 40 20 16 7 5 3 5
Southwest
Satisfied 252 97 162 47 199 62 69 45 14 8 14 2
Not satisfied 126 61 72 27 93 24 27 36 7 4 5 0
Pacific
Satisfied 119 62 66 20 67 25 45 22 15 10 8 6
Not satisfied 58 33 20 10 21 10 16 15 10 8 6 2
8. Data on incontinence study, for Exercise 6.20
y x1 x2 x3 0 -1.9 -5.3 -43 0 -0.1 -5.2 -32 0 ~0.8 -3.0 -12 0 ~0.9 3.4 ~1 1 -5.6 -13.1 -1 1 -2.4 1.8 -9 1 -2.0 -5.7 -7 1 -0.6 -2.4 -7 1 -0.1 -10.2 -5 1 ~0.4 -17.2 -9 1 ~1.1 -4.5 -15 0 -1.5 3.9 -15 0 0.5 27.5 8 0 0.8 -1.6 -2 0 2.3 23.4 14 1 -5.3 -19.8 -33 1 -2.3 -7.4 4 1 -1.7 -3.9 13 1 -0.5 -14.5 -12 1 -0.1 -9.9 -11 1 0.7 -10.7 -10
9. Data set for Exercise 6.28
Occupational aspirations
Socioeconomic
Gender Residence IQ status
High Low
Male Rural High High 117 47
Low 54 87
Low High 29 78
Low 31 262
Small High High 350 80
urban Low 70 85
Low High 71 120
Low 33 265
Large High High 151 31
urban Low 27 23
Low High 30 27
Low 12 52
Female Rural High High 102 69
Low 52 119
Low High 32 73
Low 28 349
Small High High 338 96
urban Low 44 99
Low High 76 107
Low 22 344
Large High High 148 35
urban Low 17 39
Low High 21 47
Low 6 116
10. Alligator food choice data set of Table 8.1
lake gender size food count 1 1 1 1 7 1 1 1 2 1 1 1 1 3 0 1 1 1 4 0 1 1 1 5 5 1 1 2 1 4 1 1 2 2 0 1 1 2 3 0 1 1 2 4 1 1 1 2 5 2 1 2 1 1 16 1 2 1 2 3 1 2 1 3 2 1 2 1 4 2 1 2 1 5 3 1 2 2 1 3 1 2 2 2 0 1 2 2 3 1 1 2 2 4 2 1 2 2 5 3 2 1 1 1 2 2 1 1 2 2 2 1 1 3 0 2 1 1 4 0 2 1 1 5 1 2 1 2 1 13 2 1 2 2 7 2 1 2 3 6 2 1 2 4 0 2 1 2 5 0 2 2 1 1 3 2 2 1 2 9 2 2 1 3 1 2 2 1 4 0 2 2 1 5 2 2 2 2 1 0 2 2 2 2 1 2 2 2 3 0 2 2 2 4 1 2 2 2 5 0 3 1 1 1 3 3 1 1 2 7 3 1 1 3 1 3 1 1 4 0 3 1 1 5 1 3 1 2 1 8 3 1 2 2 6 3 1 2 3 6 3 1 2 4 3 3 1 2 5 5 3 2 1 1 2 3 2 1 2 4 3 2 1 3 1 3 2 1 4 1 3 2 1 5 4 3 2 2 1 0 3 2 2 2 1 3 2 2 3 0 3 2 2 4 0 3 2 2 5 0 4 1 1 1 13 4 1 1 2 10 4 1 1 3 0 4 1 1 4 2 4 1 1 5 2 4 1 2 1 9 4 1 2 2 0 4 1 2 3 0 4 1 2 4 1 4 1 2 5 2 4 2 1 1 3 4 2 1 2 9 4 2 1 3 1 4 2 1 4 0 4 2 1 5 1 4 2 2 1 8 4 2 2 2 1 4 2 2 3 0 4 2 2 4 0 4 2 2 5 1
11. Full data set for Table 8.5 on happiness, traumatic events, and race
race trauma happy * race is 0=white, 1=black
0 0 1
0 0 1
0 0 1
0 0 1
0 0 1
0 0 1
0 0 1
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 2
0 0 3
0 1 1
0 1 1
0 1 1
0 1 1
0 1 1
0 1 1
0 1 1
0 1 1
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 2
0 1 3
0 2 1
0 2 1
0 2 1
0 2 1
0 2 1
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 2
0 2 3
0 3 1
0 3 2
0 3 2
0 3 2
0 3 2
0 3 2
0 3 2
0 3 2
0 3 2
0 3 2
0 3 3
0 4 1
0 4 2
0 4 2
0 4 2
0 4 2
0 5 3
0 5 3
1 0 2
1 0 3
1 1 2
1 1 2
1 1 2
1 1 3
1 2 2
1 2 2
1 2 2
1 2 3
1 3 2
1 3 2
1 3 3
12. Data for Exercise 8.18 on dumping severity
Hospital 1 Hosptial 2 Hospital 3 Hospital 4
Operation N S M N S M N S M N S M
A 23 7 2 18 6 1 8 6 3 12 9 1
B 23 10 5 18 6 2 12 4 4 15 3 2
C 20 13 5 13 13 2 11 6 2 14 8 3
D 24 10 6 9 15 2 7 7 4 13 6 4
13. Data for Exercise 8.28 on satisfaction with housing
Housing Low contact: Satisfaction High contact: Satisfaction
Low Medium High Low Medium High
Influence
Tower blocks Low 21 21 28 14 19 37
Medium 34 22 36 17 23 40
High 10 11 36 3 5 23
Apartments Low 61 23 17 78 46 43
Medium 43 35 40 48 45 86
High 26 18 54 15 25 62
Atrium houses Low 13 9 10 20 23 20
Medium 8 8 12 10 22 24
High 6 7 9 7 10 21
Terraced houses Low 18 6 7 57 23 13
Medium 15 13 13 31 21 13
High 7 5 11 5 6 13
14. High school student survey data set of Table 9.3
a c m count 1 1 1 911 1 1 2 538 1 2 1 44 1 2 2 456 2 1 1 3 2 1 2 43 2 2 1 2 2 2 2 279
15. Government spending data set for Exercise 9.5
e h c l count 1 1 1 1 62 1 1 2 1 90 1 1 3 1 74 1 2 1 1 11 1 2 2 1 22 1 2 3 1 19 1 3 1 1 2 1 3 2 1 2 1 3 3 1 1 2 1 1 1 11 2 1 2 1 21 2 1 3 1 20 2 2 1 1 1 2 2 2 1 6 2 2 3 1 6 2 3 1 1 1 2 3 2 1 2 2 3 3 1 4 3 1 1 1 3 3 1 2 1 2 3 1 3 1 9 3 2 1 1 1 3 2 2 1 2 3 2 3 1 4 3 3 1 1 1 3 3 2 1 0 3 3 3 1 1 1 1 1 2 17 1 1 2 2 42 1 1 3 2 31 1 2 1 2 7 1 2 2 2 18 1 2 3 2 14 1 3 1 2 3 1 3 2 2 0 1 3 3 2 3 2 1 1 2 3 2 1 2 2 13 2 1 3 2 8 2 2 1 2 4 2 2 2 2 9 2 2 3 2 5 2 3 1 2 0 2 3 2 2 1 2 3 3 2 3 3 1 1 2 0 3 1 2 2 1 3 1 3 2 2 3 2 1 2 0 3 2 2 2 1 3 2 3 2 2 3 3 1 2 0 3 3 2 2 0 3 3 3 2 2 1 1 1 3 5 1 1 2 3 3 1 1 3 3 11 1 2 1 3 0 1 2 2 3 1 1 2 3 3 3 1 3 1 3 1 1 3 2 3 1 1 3 3 3 1 2 1 1 3 0 2 1 2 3 2 2 1 3 3 3 2 2 1 3 0 2 2 2 3 0 2 2 3 3 2 2 3 1 3 1 2 3 2 3 1 2 3 3 3 1 3 1 1 3 0 3 1 2 3 0 3 1 3 3 1 3 2 1 3 0 3 2 2 3 0 3 2 3 3 0 3 3 1 3 0 3 3 2 3 0 3 3 3 3 3
16. Opinions about birth control and premarital sex data set of Table 10.3
premar birth count 1 4 38 1 3 60 1 2 68 1 1 81 2 4 14 2 3 29 2 2 26 2 1 24 3 4 42 3 3 74 3 2 41 3 1 18 4 4 157 4 3 161 4 2 57 4 1 36
17. Migration data set of Table 11.5
row column count ne ne 266 ne mw 15 ne s 61 ne w 28 mw ne 10 mw mw 414 mw s 50 mw w 40 s ne 8 s mw 22 s s 578 s w 22 w ne 7 w mw 6 w s 27 w w 301
18. Depression data set of Table 12.1 in case form
case severity treat time outcome * outcome=1 is normal 1 0 0 0 1 1 0 0 1 1 1 0 0 2 1 2 0 0 0 1 2 0 0 1 1 2 0 0 2 1 3 0 0 0 1 3 0 0 1 1 3 0 0 2 1 4 0 0 0 1 4 0 0 1 1 4 0 0 2 1 5 0 0 0 1 5 0 0 1 1 5 0 0 2 1 6 0 0 0 1 6 0 0 1 1 6 0 0 2 1 7 0 0 0 1 7 0 0 1 1 7 0 0 2 1 8 0 0 0 1 8 0 0 1 1 8 0 0 2 1 9 0 0 0 1 9 0 0 1 1 9 0 0 2 1 10 0 0 0 1 10 0 0 1 1 10 0 0 2 1 11 0 0 0 1 11 0 0 1 1 11 0 0 2 1 12 0 0 0 1 12 0 0 1 1 12 0 0 2 1 13 0 0 0 1 13 0 0 1 1 13 0 0 2 1 14 0 0 0 1 14 0 0 1 1 14 0 0 2 1 15 0 0 0 1 15 0 0 1 1 15 0 0 2 1 16 0 0 0 1 16 0 0 1 1 16 0 0 2 1 17 0 0 0 1 17 0 0 1 1 17 0 0 2 0 18 0 0 0 1 18 0 0 1 1 18 0 0 2 0 19 0 0 0 1 19 0 0 1 1 19 0 0 2 0 20 0 0 0 1 20 0 0 1 1 20 0 0 2 0 21 0 0 0 1 21 0 0 1 1 21 0 0 2 0 22 0 0 0 1 22 0 0 1 1 22 0 0 2 0 23 0 0 0 1 23 0 0 1 1 23 0 0 2 0 24 0 0 0 1 24 0 0 1 1 24 0 0 2 0 25 0 0 0 1 25 0 0 1 1 25 0 0 2 0 26 0 0 0 1 26 0 0 1 1 26 0 0 2 0 27 0 0 0 1 27 0 0 1 1 27 0 0 2 0 28 0 0 0 1 28 0 0 1 1 28 0 0 2 0 29 0 0 0 1 29 0 0 1 1 29 0 0 2 0 30 0 0 0 1 30 0 0 1 0 30 0 0 2 1 31 0 0 0 1 31 0 0 1 0 31 0 0 2 1 32 0 0 0 1 32 0 0 1 0 32 0 0 2 1 33 0 0 0 1 33 0 0 1 0 33 0 0 2 1 34 0 0 0 1 34 0 0 1 0 34 0 0 2 1 35 0 0 0 1 35 0 0 1 0 35 0 0 2 1 36 0 0 0 1 36 0 0 1 0 36 0 0 2 1 37 0 0 0 1 37 0 0 1 0 37 0 0 2 1 38 0 0 0 1 38 0 0 1 0 38 0 0 2 1 39 0 0 0 1 39 0 0 1 0 39 0 0 2 0 40 0 0 0 1 40 0 0 1 0 40 0 0 2 0 41 0 0 0 1 41 0 0 1 0 41 0 0 2 0 42 0 0 0 0 42 0 0 1 1 42 0 0 2 1 43 0 0 0 0 43 0 0 1 1 43 0 0 2 1 44 0 0 0 0 44 0 0 1 1 44 0 0 2 1 45 0 0 0 0 45 0 0 1 1 45 0 0 2 1 46 0 0 0 0 46 0 0 1 1 46 0 0 2 1 47 0 0 0 0 47 0 0 1 1 47 0 0 2 1 48 0 0 0 0 48 0 0 1 1 48 0 0 2 1 49 0 0 0 0 49 0 0 1 1 49 0 0 2 1 50 0 0 0 0 50 0 0 1 1 50 0 0 2 1 51 0 0 0 0 51 0 0 1 1 51 0 0 2 1 52 0 0 0 0 52 0 0 1 1 52 0 0 2 1 53 0 0 0 0 53 0 0 1 1 53 0 0 2 1 54 0 0 0 0 54 0 0 1 1 54 0 0 2 1 55 0 0 0 0 55 0 0 1 1 55 0 0 2 1 56 0 0 0 0 56 0 0 1 1 56 0 0 2 0 57 0 0 0 0 57 0 0 1 1 57 0 0 2 0 58 0 0 0 0 58 0 0 1 1 58 0 0 2 0 59 0 0 0 0 59 0 0 1 1 59 0 0 2 0 60 0 0 0 0 60 0 0 1 0 60 0 0 2 1 61 0 0 0 0 61 0 0 1 0 61 0 0 2 1 62 0 0 0 0 62 0 0 1 0 62 0 0 2 1 63 0 0 0 0 63 0 0 1 0 63 0 0 2 1 64 0 0 0 0 64 0 0 1 0 64 0 0 2 1 65 0 0 0 0 65 0 0 1 0 65 0 0 2 1 66 0 0 0 0 66 0 0 1 0 66 0 0 2 1 67 0 0 0 0 67 0 0 1 0 67 0 0 2 1 68 0 0 0 0 68 0 0 1 0 68 0 0 2 1 69 0 0 0 0 69 0 0 1 0 69 0 0 2 1 70 0 0 0 0 70 0 0 1 0 70 0 0 2 1 71 0 0 0 0 71 0 0 1 0 71 0 0 2 1 72 0 0 0 0 72 0 0 1 0 72 0 0 2 1 73 0 0 0 0 73 0 0 1 0 73 0 0 2 1 74 0 0 0 0 74 0 0 1 0 74 0 0 2 1 75 0 0 0 0 75 0 0 1 0 75 0 0 2 0 336 0 0 0 0 336 0 0 1 0 336 0 0 2 0 337 0 0 0 0 337 0 0 1 0 337 0 0 2 0 338 0 0 0 0 338 0 0 1 0 338 0 0 2 0 339 0 0 0 0 339 0 0 1 0 339 0 0 2 0 340 0 0 0 0 340 0 0 1 0 340 0 0 2 0 76 0 1 0 1 76 0 1 1 1 76 0 1 2 1 77 0 1 0 1 77 0 1 1 1 77 0 1 2 1 78 0 1 0 1 78 0 1 1 1 78 0 1 2 1 79 0 1 0 1 79 0 1 1 1 79 0 1 2 1 80 0 1 0 1 80 0 1 1 1 80 0 1 2 1 81 0 1 0 1 81 0 1 1 1 81 0 1 2 1 82 0 1 0 1 82 0 1 1 1 82 0 1 2 1 83 0 1 0 1 83 0 1 1 1 83 0 1 2 1 84 0 1 0 1 84 0 1 1 1 84 0 1 2 1 85 0 1 0 1 85 0 1 1 1 85 0 1 2 1 86 0 1 0 1 86 0 1 1 1 86 0 1 2 1 87 0 1 0 1 87 0 1 1 1 87 0 1 2 1 88 0 1 0 1 88 0 1 1 1 88 0 1 2 1 89 0 1 0 1 89 0 1 1 1 89 0 1 2 1 90 0 1 0 1 90 0 1 1 1 90 0 1 2 1 91 0 1 0 1 91 0 1 1 1 91 0 1 2 1 92 0 1 0 1 92 0 1 1 1 92 0 1 2 1 93 0 1 0 1 93 0 1 1 1 93 0 1 2 1 94 0 1 0 1 94 0 1 1 1 94 0 1 2 1 95 0 1 0 1 95 0 1 1 1 95 0 1 2 1 96 0 1 0 1 96 0 1 1 1 96 0 1 2 1 97 0 1 0 1 97 0 1 1 1 97 0 1 2 1 98 0 1 0 1 98 0 1 1 1 98 0 1 2 1 99 0 1 0 1 99 0 1 1 1 99 0 1 2 1 100 0 1 0 1 100 0 1 1 1 100 0 1 2 1 101 0 1 0 1 101 0 1 1 1 101 0 1 2 1 102 0 1 0 1 102 0 1 1 1 102 0 1 2 1 103 0 1 0 1 103 0 1 1 1 103 0 1 2 1 104 0 1 0 1 104 0 1 1 1 104 0 1 2 1 105 0 1 0 1 105 0 1 1 1 105 0 1 2 1 106 0 1 0 1 106 0 1 1 1 106 0 1 2 1 107 0 1 0 1 107 0 1 1 0 107 0 1 2 1 108 0 1 0 1 108 0 1 1 0 108 0 1 2 1 109 0 1 0 1 109 0 1 1 0 109 0 1 2 1 110 0 1 0 1 110 0 1 1 0 110 0 1 2 1 111 0 1 0 1 111 0 1 1 0 111 0 1 2 1 112 0 1 0 1 112 0 1 1 0 112 0 1 2 1 113 0 1 0 0 113 0 1 1 1 113 0 1 2 1 114 0 1 0 0 114 0 1 1 1 114 0 1 2 1 115 0 1 0 0 115 0 1 1 1 115 0 1 2 1 116 0 1 0 0 116 0 1 1 1 116 0 1 2 1 117 0 1 0 0 117 0 1 1 1 117 0 1 2 1 118 0 1 0 0 118 0 1 1 1 118 0 1 2 1 119 0 1 0 0 119 0 1 1 1 119 0 1 2 1 120 0 1 0 0 120 0 1 1 1 120 0 1 2 1 121 0 1 0 0 121 0 1 1 1 121 0 1 2 1 122 0 1 0 0 122 0 1 1 1 122 0 1 2 1 123 0 1 0 0 123 0 1 1 1 123 0 1 2 1 124 0 1 0 0 124 0 1 1 1 124 0 1 2 1 125 0 1 0 0 125 0 1 1 1 125 0 1 2 1 126 0 1 0 0 126 0 1 1 1 126 0 1 2 1 127 0 1 0 0 127 0 1 1 1 127 0 1 2 1 128 0 1 0 0 128 0 1 1 1 128 0 1 2 1 129 0 1 0 0 129 0 1 1 1 129 0 1 2 1 130 0 1 0 0 130 0 1 1 1 130 0 1 2 1 131 0 1 0 0 131 0 1 1 1 131 0 1 2 1 132 0 1 0 0 132 0 1 1 1 132 0 1 2 1 133 0 1 0 0 133 0 1 1 1 133 0 1 2 1 134 0 1 0 0 134 0 1 1 1 134 0 1 2 1 135 0 1 0 0 135 0 1 1 1 135 0 1 2 0 136 0 1 0 0 136 0 1 1 1 136 0 1 2 0 137 0 1 0 0 137 0 1 1 0 137 0 1 2 1 138 0 1 0 0 138 0 1 1 0 138 0 1 2 1 139 0 1 0 0 139 0 1 1 0 139 0 1 2 1 140 0 1 0 0 140 0 1 1 0 140 0 1 2 1 141 0 1 0 0 141 0 1 1 0 141 0 1 2 1 142 0 1 0 0 142 0 1 1 0 142 0 1 2 1 143 0 1 0 0 143 0 1 1 0 143 0 1 2 1 144 0 1 0 0 144 0 1 1 0 144 0 1 2 1 145 0 1 0 0 145 0 1 1 0 145 0 1 2 1 146 1 0 0 1 146 1 0 1 1 146 1 0 2 1 147 1 0 0 1 147 1 0 1 1 147 1 0 2 1 148 1 0 0 1 148 1 0 1 1 148 1 0 2 0 149 1 0 0 1 149 1 0 1 1 149 1 0 2 0 150 1 0 0 1 150 1 0 1 0 150 1 0 2 1 151 1 0 0 1 151 1 0 1 0 151 1 0 2 1 152 1 0 0 1 152 1 0 1 0 152 1 0 2 1 153 1 0 0 1 153 1 0 1 0 153 1 0 2 1 154 1 0 0 1 154 1 0 1 0 154 1 0 2 1 155 1 0 0 1 155 1 0 1 0 155 1 0 2 1 156 1 0 0 1 156 1 0 1 0 156 1 0 2 1 157 1 0 0 1 157 1 0 1 0 157 1 0 2 1 158 1 0 0 1 158 1 0 1 0 158 1 0 2 0 159 1 0 0 1 159 1 0 1 0 159 1 0 2 0 160 1 0 0 1 160 1 0 1 0 160 1 0 2 0 161 1 0 0 1 161 1 0 1 0 161 1 0 2 0 162 1 0 0 1 162 1 0 1 0 162 1 0 2 0 163 1 0 0 1 163 1 0 1 0 163 1 0 2 0 164 1 0 0 1 164 1 0 1 0 164 1 0 2 0 165 1 0 0 1 165 1 0 1 0 165 1 0 2 0 166 1 0 0 1 166 1 0 1 0 166 1 0 2 0 167 1 0 0 0 167 1 0 1 1 167 1 0 2 1 168 1 0 0 0 168 1 0 1 1 168 1 0 2 1 169 1 0 0 0 169 1 0 1 1 169 1 0 2 1 170 1 0 0 0 170 1 0 1 1 170 1 0 2 1 171 1 0 0 0 171 1 0 1 1 171 1 0 2 1 172 1 0 0 0 172 1 0 1 1 172 1 0 2 1 173 1 0 0 0 173 1 0 1 1 173 1 0 2 1 174 1 0 0 0 174 1 0 1 1 174 1 0 2 1 175 1 0 0 0 175 1 0 1 1 175 1 0 2 1 176 1 0 0 0 176 1 0 1 1 176 1 0 2 0 177 1 0 0 0 177 1 0 1 1 177 1 0 2 0 178 1 0 0 0 178 1 0 1 1 178 1 0 2 0 179 1 0 0 0 179 1 0 1 1 179 1 0 2 0 180 1 0 0 0 180 1 0 1 1 180 1 0 2 0 181 1 0 0 0 181 1 0 1 1 181 1 0 2 0 182 1 0 0 0 182 1 0 1 1 182 1 0 2 0 183 1 0 0 0 183 1 0 1 1 183 1 0 2 0 184 1 0 0 0 184 1 0 1 1 184 1 0 2 0 185 1 0 0 0 185 1 0 1 1 185 1 0 2 0 186 1 0 0 0 186 1 0 1 1 186 1 0 2 0 187 1 0 0 0 187 1 0 1 1 187 1 0 2 0 188 1 0 0 0 188 1 0 1 1 188 1 0 2 0 189 1 0 0 0 189 1 0 1 1 189 1 0 2 0 190 1 0 0 0 190 1 0 1 1 190 1 0 2 0 191 1 0 0 0 191 1 0 1 0 191 1 0 2 1 192 1 0 0 0 192 1 0 1 0 192 1 0 2 1 193 1 0 0 0 193 1 0 1 0 193 1 0 2 1 194 1 0 0 0 194 1 0 1 0 194 1 0 2 1 195 1 0 0 0 195 1 0 1 0 195 1 0 2 1 196 1 0 0 0 196 1 0 1 0 196 1 0 2 1 197 1 0 0 0 197 1 0 1 0 197 1 0 2 1 198 1 0 0 0 198 1 0 1 0 198 1 0 2 1 199 1 0 0 0 199 1 0 1 0 199 1 0 2 1 200 1 0 0 0 200 1 0 1 0 200 1 0 2 1 201 1 0 0 0 201 1 0 1 0 201 1 0 2 1 202 1 0 0 0 202 1 0 1 0 202 1 0 2 1 203 1 0 0 0 203 1 0 1 0 203 1 0 2 1 204 1 0 0 0 204 1 0 1 0 204 1 0 2 1 205 1 0 0 0 205 1 0 1 0 205 1 0 2 1 206 1 0 0 0 206 1 0 1 0 206 1 0 2 1 207 1 0 0 0 207 1 0 1 0 207 1 0 2 1 208 1 0 0 0 208 1 0 1 0 208 1 0 2 1 209 1 0 0 0 209 1 0 1 0 209 1 0 2 1 210 1 0 0 0 210 1 0 1 0 210 1 0 2 1 211 1 0 0 0 211 1 0 1 0 211 1 0 2 1 212 1 0 0 0 212 1 0 1 0 212 1 0 2 1 213 1 0 0 0 213 1 0 1 0 213 1 0 2 1 214 1 0 0 0 214 1 0 1 0 214 1 0 2 1 215 1 0 0 0 215 1 0 1 0 215 1 0 2 1 216 1 0 0 0 216 1 0 1 0 216 1 0 2 1 217 1 0 0 0 217 1 0 1 0 217 1 0 2 1 218 1 0 0 0 218 1 0 1 0 218 1 0 2 0 219 1 0 0 0 219 1 0 1 0 219 1 0 2 0 220 1 0 0 0 220 1 0 1 0 220 1 0 2 0 221 1 0 0 0 221 1 0 1 0 221 1 0 2 0 222 1 0 0 0 222 1 0 1 0 222 1 0 2 0 223 1 0 0 0 223 1 0 1 0 223 1 0 2 0 224 1 0 0 0 224 1 0 1 0 224 1 0 2 0 225 1 0 0 0 225 1 0 1 0 225 1 0 2 0 226 1 0 0 0 226 1 0 1 0 226 1 0 2 0 227 1 0 0 0 227 1 0 1 0 227 1 0 2 0 228 1 0 0 0 228 1 0 1 0 228 1 0 2 0 229 1 0 0 0 229 1 0 1 0 229 1 0 2 0 230 1 0 0 0 230 1 0 1 0 230 1 0 2 0 231 1 0 0 0 231 1 0 1 0 231 1 0 2 0 232 1 0 0 0 232 1 0 1 0 232 1 0 2 0 233 1 0 0 0 233 1 0 1 0 233 1 0 2 0 234 1 0 0 0 234 1 0 1 0 234 1 0 2 0 235 1 0 0 0 235 1 0 1 0 235 1 0 2 0 236 1 0 0 0 236 1 0 1 0 236 1 0 2 0 237 1 0 0 0 237 1 0 1 0 237 1 0 2 0 238 1 0 0 0 238 1 0 1 0 238 1 0 2 0 239 1 0 0 0 239 1 0 1 0 239 1 0 2 0 240 1 0 0 0 240 1 0 1 0 240 1 0 2 0 241 1 0 0 0 241 1 0 1 0 241 1 0 2 0 242 1 0 0 0 242 1 0 1 0 242 1 0 2 0 243 1 0 0 0 243 1 0 1 0 243 1 0 2 0 244 1 0 0 0 244 1 0 1 0 244 1 0 2 0 245 1 0 0 0 245 1 0 1 0 245 1 0 2 0 246 1 1 0 1 246 1 1 1 1 246 1 1 2 1 247 1 1 0 1 247 1 1 1 1 247 1 1 2 1 248 1 1 0 1 248 1 1 1 1 248 1 1 2 1 249 1 1 0 1 249 1 1 1 1 249 1 1 2 1 250 1 1 0 1 250 1 1 1 1 250 1 1 2 1 251 1 1 0 1 251 1 1 1 1 251 1 1 2 1 252 1 1 0 1 252 1 1 1 1 252 1 1 2 1 253 1 1 0 1 253 1 1 1 1 253 1 1 2 0 254 1 1 0 1 254 1 1 1 1 254 1 1 2 0 255 1 1 0 1 255 1 1 1 0 255 1 1 2 1 256 1 1 0 1 256 1 1 1 0 256 1 1 2 1 257 1 1 0 1 257 1 1 1 0 257 1 1 2 1 258 1 1 0 1 258 1 1 1 0 258 1 1 2 1 259 1 1 0 1 259 1 1 1 0 259 1 1 2 1 260 1 1 0 1 260 1 1 1 0 260 1 1 2 0 261 1 1 0 1 261 1 1 1 0 261 1 1 2 0 262 1 1 0 0 262 1 1 1 1 262 1 1 2 1 263 1 1 0 0 263 1 1 1 1 263 1 1 2 1 264 1 1 0 0 264 1 1 1 1 264 1 1 2 1 265 1 1 0 0 265 1 1 1 1 265 1 1 2 1 266 1 1 0 0 266 1 1 1 1 266 1 1 2 1 267 1 1 0 0 267 1 1 1 1 267 1 1 2 1 268 1 1 0 0 268 1 1 1 1 268 1 1 2 1 269 1 1 0 0 269 1 1 1 1 269 1 1 2 1 270 1 1 0 0 270 1 1 1 1 270 1 1 2 1 271 1 1 0 0 271 1 1 1 1 271 1 1 2 1 272 1 1 0 0 272 1 1 1 1 272 1 1 2 1 273 1 1 0 0 273 1 1 1 1 273 1 1 2 1 274 1 1 0 0 274 1 1 1 1 274 1 1 2 1 275 1 1 0 0 275 1 1 1 1 275 1 1 2 1 276 1 1 0 0 276 1 1 1 1 276 1 1 2 1 277 1 1 0 0 277 1 1 1 1 277 1 1 2 1 278 1 1 0 0 278 1 1 1 1 278 1 1 2 1 279 1 1 0 0 279 1 1 1 1 279 1 1 2 1 280 1 1 0 0 280 1 1 1 1 280 1 1 2 1 281 1 1 0 0 281 1 1 1 1 281 1 1 2 1 282 1 1 0 0 282 1 1 1 1 282 1 1 2 1 283 1 1 0 0 283 1 1 1 1 283 1 1 2 1 284 1 1 0 0 284 1 1 1 1 284 1 1 2 1 285 1 1 0 0 285 1 1 1 1 285 1 1 2 1 286 1 1 0 0 286 1 1 1 1 286 1 1 2 1 287 1 1 0 0 287 1 1 1 1 287 1 1 2 1 288 1 1 0 0 288 1 1 1 1 288 1 1 2 1 289 1 1 0 0 289 1 1 1 1 289 1 1 2 1 290 1 1 0 0 290 1 1 1 1 290 1 1 2 1 291 1 1 0 0 291 1 1 1 1 291 1 1 2 1 292 1 1 0 0 292 1 1 1 1 292 1 1 2 1 293 1 1 0 0 293 1 1 1 1 293 1 1 2 0 294 1 1 0 0 294 1 1 1 1 294 1 1 2 0 295 1 1 0 0 295 1 1 1 1 295 1 1 2 0 296 1 1 0 0 296 1 1 1 1 296 1 1 2 0 297 1 1 0 0 297 1 1 1 1 297 1 1 2 0 298 1 1 0 0 298 1 1 1 0 298 1 1 2 1 299 1 1 0 0 299 1 1 1 0 299 1 1 2 1 300 1 1 0 0 300 1 1 1 0 300 1 1 2 1 301 1 1 0 0 301 1 1 1 0 301 1 1 2 1 302 1 1 0 0 302 1 1 1 0 302 1 1 2 1 303 1 1 0 0 303 1 1 1 0 303 1 1 2 1 304 1 1 0 0 304 1 1 1 0 304 1 1 2 1 305 1 1 0 0 305 1 1 1 0 305 1 1 2 1 306 1 1 0 0 306 1 1 1 0 306 1 1 2 1 307 1 1 0 0 307 1 1 1 0 307 1 1 2 1 308 1 1 0 0 308 1 1 1 0 308 1 1 2 1 309 1 1 0 0 309 1 1 1 0 309 1 1 2 1 310 1 1 0 0 310 1 1 1 0 310 1 1 2 1 311 1 1 0 0 311 1 1 1 0 311 1 1 2 1 312 1 1 0 0 312 1 1 1 0 312 1 1 2 1 313 1 1 0 0 313 1 1 1 0 313 1 1 2 1 314 1 1 0 0 314 1 1 1 0 314 1 1 2 1 315 1 1 0 0 315 1 1 1 0 315 1 1 2 1 316 1 1 0 0 316 1 1 1 0 316 1 1 2 1 317 1 1 0 0 317 1 1 1 0 317 1 1 2 1 318 1 1 0 0 318 1 1 1 0 318 1 1 2 1 319 1 1 0 0 319 1 1 1 0 319 1 1 2 1 320 1 1 0 0 320 1 1 1 0 320 1 1 2 1 321 1 1 0 0 321 1 1 1 0 321 1 1 2 1 322 1 1 0 0 322 1 1 1 0 322 1 1 2 1 323 1 1 0 0 323 1 1 1 0 323 1 1 2 1 324 1 1 0 0 324 1 1 1 0 324 1 1 2 1 325 1 1 0 0 325 1 1 1 0 325 1 1 2 1 326 1 1 0 0 326 1 1 1 0 326 1 1 2 1 327 1 1 0 0 327 1 1 1 0 327 1 1 2 1 328 1 1 0 0 328 1 1 1 0 328 1 1 2 1 329 1 1 0 0 329 1 1 1 0 329 1 1 2 1 330 1 1 0 0 330 1 1 1 0 330 1 1 2 0 331 1 1 0 0 331 1 1 1 0 331 1 1 2 0 332 1 1 0 0 332 1 1 1 0 332 1 1 2 0 333 1 1 0 0 333 1 1 1 0 333 1 1 2 0 334 1 1 0 0 334 1 1 1 0 334 1 1 2 0 335 1 1 0 0 335 1 1 1 0 335 1 1 2 0
19. Insomnia data set of Table 12.3
input case treat occasion outcome count;
datalines;
1 1 0 1 7
1 1 1 1 7
2 1 0 1 7
2 1 1 1 7
3 1 0 1 7
3 1 1 1 7
4 1 0 1 7
4 1 1 1 7
5 1 0 1 7
5 1 1 1 7
6 1 0 1 7
6 1 1 1 7
7 1 0 1 7
7 1 1 1 7
8 1 0 1 4
8 1 1 2 4
9 1 0 1 4
9 1 1 2 4
10 1 0 1 4
10 1 1 2 4
11 1 0 1 4
11 1 1 2 4
12 1 0 1 1
12 1 1 3 1
13 1 0 2 11
13 1 1 1 11
14 1 0 2 11
14 1 1 1 11
15 1 0 2 11
15 1 1 1 11
16 1 0 2 11
16 1 1 1 11
17 1 0 2 11
17 1 1 1 11
18 1 0 2 11
18 1 1 1 11
19 1 0 2 11
19 1 1 1 11
20 1 0 2 11
20 1 1 1 11
21 1 0 2 11
21 1 1 1 11
22 1 0 2 11
22 1 1 1 11
23 1 0 2 11
23 1 1 1 11
24 1 0 2 5
24 1 1 2 5
25 1 0 2 5
25 1 1 2 5
26 1 0 2 5
26 1 1 2 5
27 1 0 2 5
27 1 1 2 5
28 1 0 2 5
28 1 1 2 5
29 1 0 2 2
29 1 1 3 2
30 1 0 2 2
30 1 1 3 2
31 1 0 2 2
31 1 1 4 2
32 1 0 2 2
32 1 1 4 2
33 1 0 3 13
33 1 1 1 13
34 1 0 3 13
34 1 1 1 13
35 1 0 3 13
35 1 1 1 13
36 1 0 3 13
36 1 1 1 13
37 1 0 3 13
37 1 1 1 13
38 1 0 3 13
38 1 1 1 13
39 1 0 3 13
39 1 1 1 13
40 1 0 3 13
40 1 1 1 13
41 1 0 3 13
41 1 1 1 13
42 1 0 3 13
42 1 1 1 13
43 1 0 3 13
43 1 1 1 13
44 1 0 3 13
44 1 1 1 13
45 1 0 3 13
45 1 1 1 13
46 1 0 3 23
46 1 1 2 23
47 1 0 3 23
47 1 1 2 23
48 1 0 3 23
48 1 1 2 23
49 1 0 3 23
49 1 1 2 23
50 1 0 3 23
50 1 1 2 23
51 1 0 3 23
51 1 1 2 23
52 1 0 3 23
52 1 1 2 23
53 1 0 3 23
53 1 1 2 23
54 1 0 3 23
54 1 1 2 23
55 1 0 3 23
55 1 1 2 23
56 1 0 3 23
56 1 1 2 23
57 1 0 3 23
57 1 1 2 23
58 1 0 3 23
58 1 1 2 23
59 1 0 3 23
59 1 1 2 23
60 1 0 3 23
60 1 1 2 23
61 1 0 3 23
61 1 1 2 23
62 1 0 3 23
62 1 1 2 23
63 1 0 3 23
63 1 1 2 23
64 1 0 3 23
64 1 1 2 23
65 1 0 3 23
65 1 1 2 23
66 1 0 3 23
66 1 1 2 23
67 1 0 3 23
67 1 1 2 23
68 1 0 3 23
68 1 1 2 23
69 1 0 3 3
69 1 1 3 3
70 1 0 3 3
70 1 1 3 3
71 1 0 3 3
71 1 1 3 3
72 1 0 3 1
72 1 1 4 1
73 1 0 4 9
73 1 1 1 9
74 1 0 4 9
74 1 1 1 9
75 1 0 4 9
75 1 1 1 9
76 1 0 4 9
76 1 1 1 9
77 1 0 4 9
77 1 1 1 9
78 1 0 4 9
78 1 1 1 9
79 1 0 4 9
79 1 1 1 9
80 1 0 4 9
80 1 1 1 9
81 1 0 4 9
81 1 1 1 9
82 1 0 4 17
82 1 1 2 17
83 1 0 4 17
83 1 1 2 17
84 1 0 4 17
84 1 1 2 17
85 1 0 4 17
85 1 1 2 17
86 1 0 4 17
86 1 1 2 17
87 1 0 4 17
87 1 1 2 17
88 1 0 4 17
88 1 1 2 17
89 1 0 4 17
89 1 1 2 17
90 1 0 4 17
90 1 1 2 17
91 1 0 4 17
91 1 1 2 17
92 1 0 4 17
92 1 1 2 17
93 1 0 4 17
93 1 1 2 17
94 1 0 4 17
94 1 1 2 17
95 1 0 4 17
95 1 1 2 17
96 1 0 4 17
96 1 1 2 17
97 1 0 4 17
97 1 1 2 17
98 1 0 4 17
98 1 1 2 17
99 1 0 4 13
99 1 1 3 13
100 1 0 4 13
100 1 1 3 13
101 1 0 4 13
101 1 1 3 13
102 1 0 4 13
102 1 1 3 13
103 1 0 4 13
103 1 1 3 13
104 1 0 4 13
104 1 1 3 13
105 1 0 4 13
105 1 1 3 13
106 1 0 4 13
106 1 1 3 13
107 1 0 4 13
107 1 1 3 13
108 1 0 4 13
108 1 1 3 13
109 1 0 4 13
109 1 1 3 13
110 1 0 4 13
110 1 1 3 13
111 1 0 4 13
111 1 1 3 13
112 1 0 4 8
112 1 1 4 8
113 1 0 4 8
113 1 1 4 8
114 1 0 4 8
114 1 1 4 8
115 1 0 4 8
115 1 1 4 8
116 1 0 4 8
116 1 1 4 8
117 1 0 4 8
117 1 1 4 8
118 1 0 4 8
118 1 1 4 8
119 1 0 4 8
119 1 1 4 8
120 0 0 1 7
120 0 1 1 7
121 0 0 1 7
121 0 1 1 7
122 0 0 1 7
122 0 1 1 7
123 0 0 1 7
123 0 1 1 7
124 0 0 1 7
124 0 1 1 7
125 0 0 1 7
125 0 1 1 7
126 0 0 1 7
126 0 1 1 7
128 0 0 1 4
128 0 1 2 4
129 0 0 1 4
129 0 1 2 4
130 0 0 1 4
130 0 1 2 4
131 0 0 1 4
131 0 1 2 4
132 0 0 1 2
132 0 1 3 2
133 0 0 1 2
133 0 1 3 2
134 0 0 1 1
134 0 1 4 1
135 0 0 2 14
135 0 1 1 14
136 0 0 2 14
136 0 1 1 14
137 0 0 2 14
137 0 1 1 14
138 0 0 2 14
138 0 1 1 14
139 0 0 2 14
139 0 1 1 14
140 0 0 2 14
140 0 1 1 14
141 0 0 2 14
141 0 1 1 14
142 0 0 2 14
142 0 1 1 14
143 0 0 2 14
143 0 1 1 14
144 0 0 2 14
144 0 1 1 14
145 0 0 2 14
145 0 1 1 14
146 0 0 2 14
146 0 1 1 14
147 0 0 2 14
147 0 1 1 14
148 0 0 2 14
148 0 1 1 14
149 0 0 2 5
149 0 1 2 5
150 0 0 2 5
150 0 1 2 5
151 0 0 2 5
151 0 1 2 5
152 0 0 2 5
152 0 1 2 5
153 0 0 2 5
153 0 1 2 5
154 0 0 2 1
154 0 1 3 1
155 0 0 3 6
155 0 1 1 6
156 0 0 3 6
156 0 1 1 6
157 0 0 3 6
157 0 1 1 6
158 0 0 3 6
158 0 1 1 6
159 0 0 3 6
159 0 1 1 6
160 0 0 3 6
160 0 1 1 6
161 0 0 3 9
161 0 1 2 9
162 0 0 3 9
162 0 1 2 9
163 0 0 3 9
163 0 1 2 9
164 0 0 3 9
164 0 1 2 9
165 0 0 3 9
165 0 1 2 9
166 0 0 3 9
166 0 1 2 9
167 0 0 3 9
167 0 1 2 9
168 0 0 3 9
168 0 1 2 9
169 0 0 3 9
169 0 1 2 9
170 0 0 3 18
170 0 1 3 18
171 0 0 3 18
171 0 1 3 18
172 0 0 3 18
172 0 1 3 18
173 0 0 3 18
173 0 1 3 18
174 0 0 3 18
174 0 1 3 18
175 0 0 3 18
175 0 1 3 18
176 0 0 3 18
176 0 1 3 18
177 0 0 3 18
177 0 1 3 18
178 0 0 3 18
178 0 1 3 18
179 0 0 3 18
179 0 1 3 18
180 0 0 3 18
180 0 1 3 18
181 0 0 3 18
181 0 1 3 18
182 0 0 3 18
182 0 1 3 18
183 0 0 3 18
183 0 1 3 18
184 0 0 3 18
184 0 1 3 18
185 0 0 3 18
185 0 1 3 18
186 0 0 3 18
186 0 1 3 18
187 0 0 3 18
187 0 1 3 18
188 0 0 3 2
188 0 1 4 2
189 0 0 3 2
189 0 1 4 2
190 0 0 4 4
190 0 1 1 4
191 0 0 4 4
191 0 1 1 4
192 0 0 4 4
192 0 1 1 4
193 0 0 4 4
193 0 1 1 4
194 0 0 4 11
194 0 1 2 11
195 0 0 4 11
195 0 1 2 11
196 0 0 4 11
196 0 1 2 11
197 0 0 4 11
197 0 1 2 11
198 0 0 4 11
198 0 1 2 11
199 0 0 4 11
199 0 1 2 11
200 0 0 4 11
200 0 1 2 11
201 0 0 4 11
201 0 1 2 11
202 0 0 4 11
202 0 1 2 11
203 0 0 4 11
203 0 1 2 11
204 0 0 4 11
204 0 1 2 11
205 0 0 4 14
205 0 1 3 14
206 0 0 4 14
206 0 1 3 14
207 0 0 4 14
207 0 1 3 14
208 0 0 4 14
208 0 1 3 14
209 0 0 4 14
209 0 1 3 14
210 0 0 4 14
210 0 1 3 14
211 0 0 4 14
211 0 1 3 14
212 0 0 4 14
212 0 1 3 14
213 0 0 4 14
213 0 1 3 14
214 0 0 4 14
214 0 1 3 14
215 0 0 4 14
215 0 1 3 14
216 0 0 4 14
216 0 1 3 14
217 0 0 4 14
217 0 1 3 14
218 0 0 4 14
218 0 1 3 14
219 0 0 4 22
219 0 1 4 22
220 0 0 4 22
220 0 1 4 22
221 0 0 4 22
221 0 1 4 22
222 0 0 4 22
222 0 1 4 22
223 0 0 4 22
223 0 1 4 22
224 0 0 4 22
224 0 1 4 22
225 0 0 4 22
225 0 1 4 22
226 0 0 4 22
226 0 1 4 22
227 0 0 4 22
227 0 1 4 22
228 0 0 4 22
228 0 1 4 22
229 0 0 4 22
229 0 1 4 22
230 0 0 4 22
230 0 1 4 22
231 0 0 4 22
231 0 1 4 22
232 0 0 4 22
232 0 1 4 22
233 0 0 4 22
233 0 1 4 22
234 0 0 4 22
234 0 1 4 22
235 0 0 4 22
235 0 1 4 22
236 0 0 4 22
236 0 1 4 22
237 0 0 4 22
237 0 1 4 22
238 0 0 4 22
238 0 1 4 22
239 0 0 4 22
239 0 1 4 22
127 0 0 4 22
127 0 1 4 22
20. Presidential election poll data set of Table 13.2
state pi n x proportion AK .379 5 3 0.6000000 AL .387 29 9 0.3103448 AR .389 17 2 0.1176471 AZ .449 35 13 0.3714286 CA .609 207 129 0.6231884 CO .537 37 16 0.4324324 CT .606 25 14 0.5600000 DC .925 4 4 1.0000000 DE .619 6 4 0.6666667 FL .509 128 73 0.5703125 GA .469 60 27 0.4500000 HI .718 7 6 0.8571429 IA .539 23 9 0.3913043 ID .359 10 1 0.1000000 IL .618 84 45 0.5357143 IN .498 42 20 0.4761905 KS .415 19 8 0.4210526 KY .412 28 10 0.3571429 LA .399 30 11 0.3666667 MA .618 47 20 0.4255319 MD .619 40 29 0.7250000 ME .577 11 9 0.8181818 MI .573 76 42 0.5526316 MN .541 44 22 0.5000000 MO .492 45 25 0.5555556 MS .430 20 11 0.5500000 MT .471 7 3 0.4285714 NC .497 66 23 0.3484848 ND .445 5 2 0.4000000 NE .416 12 10 0.8333333 NH .541 11 3 0.2727273 NJ .571 59 32 0.5423729 NM .569 13 7 0.5384615 NV .552 15 7 0.4666667 NY .629 116 77 0.6637931 OH .514 87 48 0.5517241 OK .344 22 4 0.1818182 OR .568 28 14 0.5000000 PA .545 92 53 0.5760870 RI .629 7 6 0.8571429 SC .449 29 9 0.3103448 SD .448 6 4 0.6666667 TN .418 40 17 0.4250000 TX .436 123 61 0.4959350 UT .342 15 10 0.6666667 VA .526 57 28 0.4912281 VT .675 5 4 0.8000000 WA .573 46 31 0.6739130 WI .562 45 26 0.5777778 WV .425 11 6 0.5454545 WY .325 4 2 0.5000000
21. Attitudes about abortion data set of Table 13.3
gender poor single any count 1 1 1 1 342 1 1 1 0 26 1 1 0 1 11 1 1 0 0 32 1 0 1 1 6 1 0 1 0 21 1 0 0 1 19 1 0 0 0 356 2 1 1 1 440 2 1 1 0 25 2 1 0 1 14 2 1 0 0 47 2 0 1 1 14 2 0 1 0 18 2 0 0 1 22 2 0 0 0 457
22. Attitudes toward leading crowd data set of Table 13.8
mem1 att1 mem2 att2 count 1 1 1 1 458 1 1 1 0 140 1 1 0 1 110 1 1 0 0 49 1 0 1 1 171 1 0 1 0 182 1 0 0 1 56 1 0 0 0 87 0 1 1 1 184 0 1 1 0 75 0 1 0 1 531 0 1 0 0 281 0 0 1 1 85 0 0 1 0 97 0 0 0 1 338 0 0 0 0 554
23. Data for example in Section 13.4.4 on cluster sampling
nbhd satis_1 satis_2 1 1 1 1 2 1 1 2 1 1 2 2 1 2 2 2 1 1 2 2 1 2 2 1 2 2 2 2 2 2 3 1 2 3 1 2 3 2 2 3 2 2 3 3 2 4 1 2 4 2 1 4 2 1 4 2 2 4 3 1 5 2 2 5 2 2 5 2 2 5 2 2 5 3 2 6 1 1 6 2 1 6 2 1 6 2 1 6 2 2 7 1 1 7 1 1 7 1 1 7 2 2 7 3 2 8 1 1 8 2 1 8 2 2 8 2 2 8 2 2 9 1 1 9 1 1 9 1 1 9 3 1 9 3 3 10 1 2 10 2 2 10 2 2 10 2 2 10 2 3 11 1 1 11 1 2 11 2 2 11 2 2 11 3 1 12 1 2 12 2 1 12 2 1 12 2 1 12 2 1 13 2 1 13 2 1 13 2 1 13 2 1 13 2 2 14 2 1 14 2 2 14 2 2 14 3 3 14 3 3 15 1 1 15 1 1 15 2 1 15 2 1 15 2 2 16 1 1 16 2 1 16 2 2 17 2 1 17 2 2 17 2 3 17 3 2 17 3 2 18 2 1 18 2 3 18 3 3 19 1 1 19 1 1 19 2 1 19 2 1 19 2 2 20 1 1 20 1 1 20 2 1 20 2 1 20 3 1
24. Clinical trials data set for Exercise 13.17
Center Treatment Much_Better Better Unchanged/Worse 1 Drug 13 7 6 1 Placebo 1 1 10 2 Drug 2 5 10 2 Placebo 2 2 1 3 Drug 11 23 7 3 Placebo 2 8 2 4 Drug 7 11 8 4 Placebo 0 3 2 5 Drug 15 3 5 5 Placebo 1 1 5 6 Drug 13 5 5 6 Placebo 4 0 1 7 Drug 7 4 13 7 Placebo 1 1 11 8 Drug 15 9 2 8 Placebo 3 2 2
25. Data for Exercise 14.15 on Buchanan vote in 2000
county perot total buchanan total
vote vote 1996 vote vote 2000
Alachua 8072 74484 262 84839
Baker 667 6634 73 8128
Bay 5922 51566 248 58563
Bradford 819 8247 65 8638
Brevard 25249 195055 570 217543
Broward 38964 505015 789 571685
Calhoun 630 4158 90 5157
Charlott 7783 63014 182 66715
Citrus 7244 49585 270 56940
Clay 3281 47040 186 57116
Collier 6320 72511 122 91873
Columbia 1970 16326 89 18358
Desoto 965 7485 36 7771
Dixie 652 3795 29 4627
Duval 13844 253943 652 263371
Escambia 8587 107687 504 116220
Flagler 2185 20075 83 27017
Franklin 878 4569 33 4618
Gadsden 938 14193 39 14493
Gilchris 841 4795 29 5336
Glades 521 3431 9 3346
Gulf 1054 5986 71 6104
Hamilton 406 3670 23 3928
Hardee 851 6204 30 6210
Hendry 1135 8896 22 8112
Hernando 7272 58055 242 65033
Highland 3739 33699 127 35045
Hillsbor 25154 308190 847 351913
Holmes 1208 6801 76 7306
IndianRi 4635 43963 105 49458
Jackson 1602 15509 102 16246
Jefferso 393 4808 29 5624
Lafayett 316 2322 10 2493
Lake 8813 73911 289 88266
Lee 18389 165923 305 183593
Leon 6672 91685 282 102692
Levy 1774 11065 67 12614
Liberty 376 1342 39 2385
Madison 578 5584 29 6132
Manatee 10360 96741 272 109878
Marion 11340 90146 563 102178
Martin 5005 54646 108 61666
MiamiDad 24722 553491 560 624168
Monroe 4817 32450 47 33679
Nassau 1657 21159 90 23502
Okaloosa 5432 62963 267 70293
Okeechob 1666 9936 43 9819
Orange 18191 231061 446 278918
Osceola 6091 46484 145 55270
PalmBeac 30739 397231 3407 430762
Pasco 18011 133457 570 142108
Pinellas 36990 376218 1010 396092
Polk 14991 150140 538 167676
Putnam 3272 25145 148 26074
SantaRos 4957 42336 311 50111
Sarasota 14939 148950 305 160327
Seminole 9357 114878 194 136315
StJohns 4205 48539 229 60494
StLucie 8482 73897 124 77756
Sumter 2375 15397 114 22184
Suwannee 1874 12144 108 12369
Taylor 1140 7997 27 6791
Union 425 3462 29 3800
Volusia 17319 160118 396 182109
Wakulla 1091 7165 46 8545
Walton 2342 15514 120 18209
Washingt 1287 7859 88 7960
26. Election data set of Table 15.5 (1 = Dem, 0 = Rep)
State e1 e2 e3 e4 e5 e6 e7 e8 Alab 0 0 0 0 0 0 0 0 Alas 0 0 0 0 0 0 0 0 Ariz 0 0 0 0 1 0 0 0 Arka 0 0 0 1 1 0 0 0 Cali 0 0 0 1 1 1 1 1 Colo 0 0 0 1 0 0 0 1 Conn 0 0 0 1 1 1 1 1 Dela 0 0 0 1 1 1 1 1 DisC 1 1 1 1 1 1 1 1 Flor 0 0 0 0 1 0 0 1 Geor 1 0 0 1 0 0 0 0 Hawa 1 0 1 1 1 1 1 1 Idah 0 0 0 0 0 0 0 0 Illi 0 0 0 1 1 1 1 1 Indi 0 0 0 0 0 0 0 1 Iowa 0 0 1 1 1 1 0 1 Kans 0 0 0 0 0 0 0 0 Kent 0 0 0 1 1 0 0 0 Loui 0 0 0 1 1 0 0 0 Main 0 0 0 1 1 1 1 1 Mary 1 0 0 1 1 1 1 1 Mass 0 0 1 1 1 1 1 1 Mich 0 0 0 1 1 1 1 1 Minn 1 1 1 1 1 1 1 1 Miss 0 0 0 0 0 0 0 0 Miso 0 0 0 1 1 0 0 0 Mont 0 0 0 1 0 0 0 0 Nebr 0 0 0 0 0 0 0 0 Neva 0 0 0 1 1 0 0 1 NewH 0 0 0 1 1 0 1 1 NewJ 0 0 0 1 1 1 1 1 NewM 0 0 0 1 1 1 0 1 NewY 0 0 1 1 1 1 1 1 NorC 0 0 0 0 0 0 0 1 NorD 0 0 0 0 0 0 0 0 Ohio 0 0 0 1 1 0 0 1 Okla 0 0 0 0 0 0 0 0 Oreg 0 0 1 1 1 1 1 1 Penn 0 0 0 1 1 1 1 1 Rhod 1 0 1 1 1 1 1 1 SouC 0 0 0 0 0 0 0 0 SouD 0 0 0 0 0 0 0 0 Tenn 0 0 0 1 1 0 0 1 Texa 0 0 0 0 0 0 0 0 Utah 0 0 0 0 0 0 0 0 Verm 0 0 0 1 1 1 1 1 Virg 0 0 0 0 0 0 0 1 Wash 0 0 1 1 1 1 1 1 WesV 1 0 1 1 1 0 0 0 Wisc 0 0 1 1 1 1 1 1 Wyom 0 0 0 0 0 0 0 0
27. Grounds for divorce data set of Table 15.6 for Exercise 15.10
state incompat cruelty desertn non_supp alcohol felony impotenc insanity separate Alabama 1 1 1 1 1 1 1 1 1 Alaska 1 1 1 0 1 1 1 1 0 Arizona 1 0 0 0 0 0 0 0 0 Arkansas 0 1 1 1 1 1 1 1 1 California 1 0 0 0 0 0 0 1 0 Colorado 1 0 0 0 0 0 0 0 0 Connecticut 1 1 1 1 1 1 0 1 1 Delaware 1 0 0 0 0 0 0 0 1 Florida 1 0 0 0 0 0 0 1 0 Georgia 1 1 1 0 1 1 1 1 0 Hawaii 1 0 0 0 0 0 0 0 1 Idaho 1 1 1 1 1 1 0 1 1 Illinois 0 1 1 0 1 1 1 0 0 Indiana 1 0 0 0 0 1 1 1 0 Iowa 1 0 0 0 0 0 0 0 0 Kansas 1 1 1 0 1 1 1 1 0 Kentucky 1 0 0 0 0 0 0 0 0 Louisiana 0 0 0 0 0 1 0 0 1 Maine 1 1 1 1 1 0 1 1 0 Maryland 0 1 1 0 0 1 1 1 1 Massachusetts 1 1 1 1 1 1 1 0 1 Michigan 1 0 0 0 0 0 0 0 0 Minnesota 1 0 0 0 0 0 0 0 0 Mississippi 1 1 1 0 1 1 1 1 0 Missouri 1 0 0 0 0 0 0 0 0 Montana 1 0 0 0 0 0 0 0 0 Nebraska 1 0 0 0 0 0 0 0 0 Nevada 1 0 0 0 0 0 0 1 1 NewHampshire 1 1 1 1 1 1 1 0 0 NewJersey 0 1 1 0 1 1 0 1 1 NewMexico 1 1 1 0 0 0 0 0 0 NewYork 0 1 1 0 0 1 0 0 1 NorthCarolina 0 0 0 0 0 0 1 1 1 NorthDakota 1 1 1 1 1 1 1 1 0 Ohio 1 1 1 0 1 1 1 0 1 Oklahoma 1 1 1 1 1 1 1 1 0 Oregon 1 0 0 0 0 0 0 0 0 Pennsylvania 0 1 1 0 0 1 1 1 0 RhodeIsland 1 1 1 1 1 1 1 0 1 SouthCarolina 0 1 1 0 1 0 0 0 1 SouthDakota 0 1 1 1 1 1 0 0 0 Tennessee 1 1 1 1 1 1 1 0 0 Texas 1 1 1 0 0 1 0 1 1 Utah 0 1 1 1 1 1 1 1 0 Vermont 0 1 1 1 0 1 0 1 1 Virginia 0 1 0 0 0 1 0 0 1 Washington 1 0 0 0 0 0 0 0 1 WestVirginia 1 1 1 0 1 1 0 1 1 Wisconsin 1 0 0 0 0 0 0 0 1 Wyoming 1 0 0 0 0 0 0 1 1
