Significance of test
From HandWiki
The significance of a test is the probability of rejecting good events in hypothesis testing ( Neyman-Pearson Diagram). It can also be defined as the probability of a type I error in hypothesis testing.
The significance of a test is the probability of rejecting good events in hypothesis testing ( Neyman-Pearson Diagram). It can also be defined as the probability of a type I error in hypothesis testing.