Suppose you are testing H0:p=29 versus Ha:p=.29. A random sample of 740 items shows that 207 have this characteristic, Witha .05 probability of committing a Type l error, test the hypothesis. For the p-value method, what is the probability of the observed z value for this problem? If you had used the critical value method, what would the two critical values be? How do the sample results compare with the critical values? Appendix A Statistical Tables (Round the value of z to 2 decimal places, es. 15.75. Round the value of p to 4 decimal places, eg. 15.7595. Round the critical values and p^ to 3 decimal places, es. 15.754. Enter negative amounts using either a negative sign preceding the number eg. -45 or parentheses es. (45).) The value of the test statistic is z= The p-value is when it is compared with a/2, we Lower critical value: Upper critical value: Since ^= is not outside critical values in tails, the decision is to Suppose you are testing H0:p=29 versus Ha:p=.29. A random sample of 740 items shows that 207 have this characteristic, Witha .05 probability of committing a Type l error, test the hypothesis. For the p-value method, what is the probability of the observed z value for this problem? If you had used the critical value method, what would the two critical values be? How do the sample results compare with the critical values? Appendix A Statistical Tables (Round the value of z to 2 decimal places, es. 15.75. Round the value of p to 4 decimal places, eg. 15.7595. Round the critical values and p^ to 3 decimal places, es. 15.754. Enter negative amounts using either a negative sign preceding the number eg. -45 or parentheses es. (45).) The value of the test statistic is z= The p-value is when it is compared with a/2, we Lower critical value: Upper critical value: Since ^= is not outside critical values in tails, the decision is to