Section 8.2:

For each of the following problems, use Minitab to compute the test statistic and \(P\)-value as we did in class. You do not need to compute the test statistics by hand.

You should:

1. Print the session window.
2. Annotate the printout with the null and alternative hypotheses.
3. Test the null hypothesis using the \(P\)-value reported by Minitab.
4. Test the null hypothesis using the Traditional (Rejection Region) Method using the \(z\) statistic reported by Minitab.
5. State your conclusion in terms of the original claim. Do not just state 'reject' / 'do not reject'.

For a refresher on how to test two proportions in Minitab, see this Minitab documentation.

Important: Be sure to use the appropriate alternative hypothesis. For example, if you are testing against the null hypothesis of equality of the two proportions, click on the Options... button in the Two-Sample Proportion dialog box and make sure that the Alternative hypothesis: option is set to Difference ≠ hypothesized difference.

Important: Since we are testing claims against a null hypothesis that includes equality between the two population proportions, be sure to set the Test method: option to Use the pooled estimate of the proportion.

9, 11a, 13, 19 (use \(\alpha = 0.01\))