The p-value in hypothesis testing equals the probability, 1 - , of avoiding the Type I error of erroneously rejecting a null hypothesis that is in fact true.

Name: The p-value in hypothesis testing equals the probability, 1 - , of avoiding the Type I error of erroneously rejecting a null hypothesis that is in fact true.
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Question

The p-value in hypothesis testing equals the probability, 1 -  , of avoiding the Type I error of erroneously rejecting a null hypothesis that is in fact true.

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The Answer of The p-value in hypothesis testing equals the probability, 1 -  , of avoiding the Type I error of erroneously rejecting a null hypothesis that is in fact true.

The P-Value in Hypothesis Testing Equals the Probability, 1 -