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.

Question

Quizplus · Accepted Answer

The level of significance (also known as alpha) is the probability of rejecting a true null hypothesis. It represents the probability of making a Type I error, which is the error of rejecting a null hypothesis when it is actually true.

The Level of Significance in Hypothesis Testing Is the Probability