Explain Type I and Type II Errors
-The level of significance, $\alpha$, is the probability of making a
A) Type I error
B) Type II error
C) Correct decision
D) Type $\beta$ error

Question

Quizplus · Accepted Answer

A Type I error occurs when a true null hypothesis is incorrectly rejected, and the level of significance ($\alpha$) directly represents the probability of making this error.

Explain Type I and Type II Errors -The Level of Significance

Explain Type I and Type II Errors
-The Level of Significance