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# Which of the following statements regarding the significance level of a hypothesis test is most accurate

Question:

A
Given a significance level of 5%, a test will reject a true null hypothesis 5% of the time.

Explaination

The significance level of a test is the probability that a true null hypothesis will be rejected by chance because the test statistic is from a sample and may take on a value that is outside the range of critical values because of sampling error. Choice B is incorrect because the probability of making a correct decision also must account for the probability of failing to reject a false null hypothesis.

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