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Which of the following statements regarding Type I and Type II errors is most accurate? A. A Type I error is failing to reject the null hypothesis when it is actually false. B. A Type I error is rejecting the null hypothesis when it is actually true. C. A Type II error is rejecting the alternative hypothesis when it is actually true. |