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Interpreting a P-value In each case, indicate whether the statement is a proper interpretation of what a p-value measures. (a) The probability of making a Type II error, if the alternative hypothesis, Ha, is true. (b) The probability the null hypothesis, Ho, is true. (c) The probability that the alternative hypothesis, Ha, is true. (d) The probability of seeing data as extreme as the sample, when the null hypothesis, Ho, is true. (e) The probability of making a Type I error, if the null hypothesis, Ho, is true.

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