Suppose a researcher is testing the hypothesis Upper H 0: pequals0.4 versus Upper H 1: pgreater than0.4 and she finds the P-value to be 0.29. Explain what this means. Would she reject the null hypothesis? Why?

Choose the correct explanation below.

A.

If the P-value for a particular test statistic is 0.29, she expects results no more extreme than the test statistic in exactly 29 of 100 samples if the null hypothesis is true.

B.

If the P-value for a particular test statistic is 0.29, she expects results at least as extreme as the test statistic in about 29 of 100 samples if the null hypothesis is true.

C.

If the P-value for a particular test statistic is 0.29, she expects results no more extreme than the test statistic in about 29 of 100 samples if the null hypothesis is true.

D.

If the P-value for a particular test statistic is 0.29, she expects results at least as extreme as the test statistic in exactly 29 of 100 samples if the null hypothesis is true.

#### Top Answer

Since the P-value = 0.29 is > 0.10, fail to reject the null hypothesis is the decision.... View the full answer