5.5 yes

5.7

1. 1.645

2. 2.58

3. 1.96

4. 1.28

5.9

1. $28\pm 4.53$

2. $102\pm 2.77$

3. $15\pm 3.92$

4. $4.05\pm 3.92$

5. no

5.11

1. a. $83.2\pm 1.25$

2. c.$83.2\pm 1.65$

3. d.increases

4. e.yes

5.13

1. a. .95

2. b. 95% confident that the mean HRV for all police officers diagnosed with hypertension is between 4.1 and 124.5; 95% confident that the mean HRV for all police officers who are not hypertensive is between 148 and 192.6

3. d. smaller

5.15

1. 19.3

2. $19.3\pm 3.44$

3. random sample, large n

5.17 $39\pm 1.55$

5.19

1. a. $.36\pm .0099$

2. c. first-year: $.303\pm .0305$ ; landfast: $.362\pm .0177$ ; multi-year: $.381\pm .0101$

5.21

1. (1.92, 1.9996)

2. no

5.23

1. $\mu$

2. no; apply Central Limit Theorem

3. (0.4786, 0.8167)

4. yes

5.25

1. $1.13\pm .67$

2. yes

5.27

1. males: $16.79\pm 2.35$ ; females: $10.79\pm 1.67$

2. .0975

3. males

5.29 Central Limit Theorem no longer applies; $\sigma$ unknown

5.31

1. large: normal; small: t-distribution

2. large: normal; small: unknown

5.33

1. 2.228

2. 2.567

3. $-3.707$

4. $-1.771$

5.35

1. $5\pm 1.88$

2. $5\pm 2.39$

3. $5\pm 3.75$

4. 1. (a) $5\pm .78$,

   2. (b) $5\pm .94$,

   3. (c) $5\pm 1.28$ ; width decreases

5.37

1. 45.63

2. 6.59

3. (40.12, 51.14)

4. normal

5. .95

5.39 (2889, 4397)

5.41

1. a. $\mu =\text{population}\text{mean}\text{trap}\text{spacing}$

2. b. 89.86

3. c. population of trap spacings has unknown distribution

4. d. $89.86\pm 10.77$

5. f. random sample; population of trap spacings is normal

5.43

1. a. (652.76, 817.40)

2. d. yes

5.45 $.11\pm .08$

5.47

1. (.243, .281)

2. no

5.49

1. both untreated: $20.9\pm 1.06$ ; male treated: $20.3\pm 1.25$ ; female treated: $22.9\pm 1.79$ ; both treated: $18.6\pm .79$

2. female treated

5.51

1. a. $37.3\pm 7.70$

2. c. One hour before: $\mu >25.5$

5.53 mean of sampling distribution of $\widehat{p}$ is equal to p

5.55

1. yes

2. $.64\pm .07$

5.57

1. yes

2. no

3. no

4. no

5.59

1. .504

2. (.478, .530)

7.61

1. all American adults

2. 1,000 adults surveyed

3. $p=$ proportion of adults who say Starbucks coffee is overpriced

4. $.73\pm .03$

5.63

1. set of all gun ownership status (yes/no) values for all U.S. adults

2. true percentage of all adults who own a gun

3. .26

4. $.26\pm .02$

5.65

1. $.63\pm .03$

2. yes

5.67

1. (.471, .717)

2. likely not valid

5.69 $.64\pm .05$

5.71

1. no

2. $.009\pm .010$

7.73 no, both intervals contain .12

5.75 true

5.77 519

5.79

1. 482

2. 214

5.81 34

5.83

1. $n=16:W=.98$ ; $n=25:W=.784$ ; $n=49:W=.56$ ; $n=100:W=.392$ ; $n=400:W=.196$

5.85

1. no

2. yes

3. 60

5.87 21

5.89 286

5.91 40

5.93 229

5.95 1,041

5.97 385

5.99 chi-square

5.101 $n-1$

5.103

1. (4.54, 8.81)

2. (.00024, .00085)

3. (641.86, 1809.09)

4. (.95, 12.66)

5.105 (4.27, 65.90)

5.107

1. (8.6, 45.7)

2. (2.94, 6.76)

3. random sample from a normal population

5.109

1. (.1304, .1936)

2. approx. normal

5.111 (.0069, .0270)

5.113 (1.4785, 2.9533)

5.115 (43.76, 1200.99)

5.117

1. c. 8,348

5.119

1. $\mu$

2. $\mu$

3. p

4. p

5. p

6. ${\sigma }^2$

5.121

1. 19.0228, 2.70039

2. 32.8523, 8.90655

3. 78.2307, 27.2493

5.123

1. $.57\pm .05$

2. 2,358

5.125 (1) p; (2) $\mu$ ; (3) $\mu$ ; (4) $\mu$

5.127 $.219\pm .024$

5.129

1. small sample

2. 125

5.131

1. (71.67, 79.13)

2. 21

5.133

1. a. .009

2. b.2.306

3. c.$.009\pm .0037$

4. f.97

5.135

1. a. $1.07\pm .24$

2. c.(.145, .568)

3. d.normal

4. e.129

5.137

1. $.660\pm .029$

2. $.301\pm .035$

5.139

1. $.044\pm .162$

2. no evidence of species inbreeding

5.141 271

5.143

1. no

2. 593

5.145

1. .094

2. yes $.094\pm .037$

5.147 95% confident that proportion of health care workers with latex allergy who suspect he/she has allergy is between .327 and .541

5.149

1. 781

5.151

1. yes

2. missing measure of reliability

3. 95% CI for $\mu :.932\pm .037$