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Which of the following statements is correct?
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.

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

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