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

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

Quizplus · Accepted Answer

The level of significance ($\alpha$) is the probability of committing a Type I error, not Type II. The probability of a Type II error ($\beta$) depends on other factors like the true parameter value and sample size, and cannot be determined solely from $\alpha$.

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