The p-value of a statistical test measures the actual risk of committing a Type I error.

Question

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The p-value is the probability of obtaining a test statistic as extreme as, or more extreme than, the one that was actually observed, assuming that the null hypothesis is true. Therefore, the p-value is the actual risk of committing a Type I error, which is the error of rejecting the null hypothesis when it is actually true.

The P-Value of a Statistical Test Measures the Actual Risk