You know that the level of significance ( $\alpha$ ) of a test is 5%, you can tell that the probability of committing a Type II error ( $\beta$ ) is
A)2.5%
B)95%.
C)97.5%
D)unknown

Question

Quizplus · Accepted Answer

The level of significance (alpha, α) refers to the probability of committing a Type I error, not a Type II error (beta, β). The probability of a Type II error depends on various factors including the effect size, sample size, and the true population parameter, and is not directly determined by the level of significance.

You Know That the Level of Significance α\alphaα ) of a Test Is 5%, You Can Tell That

You Know That the Level of Significance $\alpha$ ) of a Test Is 5%, You Can Tell That