The level of significance in hypothesis testing is the probability of a. accepting a true null hypothesis b. accepting a false null hypothesis c. rejecting a true null hypothesis d. None of these alternatives is correct.
Added by Rhonda F.
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Accepting a true null hypothesis is not the level of significance. This is the probability of making a correct decision when the null hypothesis is true, also known as the power of the test. b. Accepting a false null hypothesis is a Type II error, also known as Show more…
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