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 trueB.the value of a test statistic that divides all possible values into an acceptance region and a rejection regionC.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 trueD.the probability, 1 -, of avoiding the Type II error of erroneously accepting a null hypothesis that is in fact false