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Which of the following statements about hypothesis testing is least accurate? A. A Type I error is the probability of rejecting the null hypothesis when the null hypothesis is false. B. The significance level is the probability of making a Type I error. C. A Type II error is the probability of failing to reject a null hypothesis that is not true. |