10.2

7.

  1. 2.31
  2. 0.0104
  3. reject the null hypothesis

9.

  1. -.74
  2. .2296
  3. do not reject null hypothesis

11.

  1. -1.49
  2. .1362
  3. do not reject null hypothesis

13.

Since Pvalue is .2743, and if the null hypothesis is true, then the type of result would be in ~28 out of 100 samples. It’s not unusualm and since the Pvalue is large, do not reject the null hypothesis.

15.

  1. .472

Ho: p=.5

H1: p<.5

  1. The sample is random. The normal model can be used for this test.

  2. Skip

  3. .0735

  4. if the null hypothesis is true, then the result would be expected in ~8 out of 100 samples

  5. do not reject the null hypothesis, we can’t say his predictions are correct less than half of the time

17.

  1. Pvalue is .2578

  2. do not reject the null hypothesis, we can’t say that more than 1.9% of users experience it

19.

  1. Pvalue is .0036

  2. reject the null hypothesis, we can say that Hawaii has a higher proportion of traffic fatalities involving a positive BAC than the nation as a whole