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March 2, 2015

March 2, 2015

Posted by **scott** on Friday, April 25, 2014 at 10:29am.

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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