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Which of the following statements is FALSE? .) The significance level is the probability of making a Type I error. b.) Expanding the sample size
Which of the following statements is FALSE? .) The significance level is the probability of making a Type I error. b.) Expanding the sample size can decrease the power of a hypothesis test. <) The probability of rejecting the null hypothesis in error is called a Type | Error. d.) A larger sample size would increase the power of a significance test
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