In hypothesis testing, which of the following is true about a p-value? A) It measures the strength of evidence against the null hypothesis. B) A smaller p-value always indicates a larger effect size. C) The p-value can be greater than 1. D) It determines the sample size needed for the test.

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In hypothesis testing, which of the following is true about a p-value?

A) It measures the strength of evidence against the null hypothesis.

B) A smaller p-value always indicates a larger effect size.

C) The p-value can be greater than 1.

D) It determines the sample size needed for the test.

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