The level of significance in hypothesis testing, $\alpha$, measures the maximum probability of making a Type II error, which is the probability of accepting a false null hypothesis.

Question

Quizplus · Accepted Answer

The level of significance measures the maximum probability of making a Type I error, which is the probability of rejecting a true null hypothesis.

The Level of Significance in Hypothesis Testing α\alphaα , Measures the Maximum Probability of Making a Type II

The Level of Significance in Hypothesis Testing $\alpha$ , Measures the Maximum Probability of Making a Type II