Which of the following statements about possible errors in hypothesis tests is correct?
A) The probability of correctly accepting a true null hypothesis equals 1 - α and is called the confidence level of the hypothesis test
B) The probability of making the Type II error of incorrectly rejecting a true null hypothesis equals α and is called test's significance level or a risk
C) The probability of making the Type I error of incorrectly accepting a false null hypothesis equals β and is called the β risk
D) The probability of correctly rejecting a false null hypothesis equals β and is called the power of the hypothesis test
E) The probability of correctly accepting a true null hypothesis equals 1 - β and is called the confidence level of the hypothesis test
Correct Answer:
Verified
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