Explain the difference between the z-test for p using rejection region(s) and the z-test for p using a P-value.
Choose the correct answer below
A. The z-test using rejection region(s) is used when the population is not normal. The z-test using a P-value is used when the population is normal
B. The z-test using rejection region(s) is used when the population is normal. The z-test using a P-value is used when the population is not normal
C. In the z-test using rejection region(s), the test statistic is compared with the level of significance a. The z-test using a P-value compares the P-value with the critical values.
D. In the
z-test using rejection region(s), the test statistic is compared with critical values. The z-test using a P-value compares the P-value with the level of significance a

In the z-test using rejection region(s), you determine critical values based on the chosen significance level (alpha), and then compare the calculated test statistic to these critical values. If the test statistic falls within the rejection region (beyond the critical values), you reject the null hypothesis.

In the z-test using a P-value, you calculate the probability (P-value) of observing a test statistic as extreme as, or more extreme than, the one obtained from the sample data. You then compare this P-value to the chosen significance level (alpha). If the P-value is less than or equal to alpha, you reject the null hypothesis.