In hypothesis testing, the term critical value refers to:
A) the probability, 1 -, of avoiding the Type I error of erroneously rejecting a null hypothesis that is in fact true
B) the value of a test statistic that divides all possible values into an acceptance region and a rejection region
C) the probability, 1 -, of avoiding the Type O error of erroneously rejecting a null hypothesis that is in fact true
D) any sample result that leads to the continued acceptance of the null hypothesis because it has a high probability of occurring when the null hypothesis is true
E) the probability, 1 -, of avoiding the Type II error of erroneously accepting a null hypothesis that is in fact false
Correct Answer:
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