Which of the following statements is correct?

Question

A. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.
B. A large p-value indicates that the data is consistent with the alternative hypothesis.
C. The p-value measures the probability of making a Type II error.
D.The larger the p-value, the stronger the evidence against the null hypothesis
E. The p-value measures the probability that the hypothesis is true.

Answer 1

E. The p-value measures the probability that the hypothesis is true.