10.1

9.

right-tailed μ

10.

left tailed p

11.

two tailed σ

12.

right tailed p

13.

left tailed μ

14.

two tailed σ

15.

Ho: p=0.399

H1: p>0.399

17.

Ho: μ= 245,700

H1: μ<245,700

19.

Ho: σ=0.7

H1: σ<0.7

21.

Ho: μ=48.79

H1: μ≠48.79

10.2

7.

  1. 2.31
  2. 0.0104
  3. Sufficient evidence at the a = .05 level of significance to reject the null hypothesis

9.

a)-0.74 b)0.2296 c)There is not sufficient evidence at the α= 0.10 level of significance to reject the null hypothesis.

11.

a)-1.49 b)0.1362 c)There is not sufficient evidence at the α= 0.05 level of significance to reject the null hypothesis

13.

The P-value means that about 27 out of 100 samples will give a sample proportion that is as extreme or more extreme than the one obtained if the population proportion is really 0.5. Since this probability is not small, we do not reject the null hypothesis because there is not sufficient evidence that the dart-picking strategy resulted in a majority of winners.

15. Note this is slightly modified version of the book problem Just answer a) b) and c) fromt the skeleton.

  1. 0.47

  2. Ho: p= 0.5

H1: p< 0.5

z= -1.56, p-value = 0.0594, There is not sufficient evidence at the α= 0.05 level of significance to conclude that Cramer is correct less than half the time.

  1. z= -1.56, p-value = 0.0594, There is not sufficient evidence at the α= 0.05 level of significance to conclude that Cramer is correct less than half the time. 17.

  2. p-value= 0.2578
  3. There is not sufficient evidence at the α= 0.01 level of significance to conclude that more than 1.9% of Lipitor users experience flu-like symptoms.

19.

  1. p-value= 0.0036

  2. There is sufficient evidence at the α= 0.05 level of significance to conclude that Hawaii has a higher proportion of traffic fatalities involving a positive BAC than the United States.