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Question:

Which of the following statements about hypothesis testing is most accurate?

A Rejecting a true null hypothesis is a Type I error.
Explaination

Type I error is rejecting the null hypothesis when it is true. The power of a test is the probability of rejecting the null hypothesis when it is false. $5990_w25_h16.png$: X # 0 indicates a two-tailed test, while $5990_w25_h16.png$: X < 0 or HA: X > 0 indicates a one-tailed test.