When alpha increases, both _____ and _____ increase.
A) standard error; power
B) power; probability of a Type I error
C) power; probability of a Type II error
D) probability of a Type I error; probability of a Type II error

Question

Quizplus · Accepted Answer

Increasing alpha increases the probability of rejecting the null hypothesis when it is actually true, which would increase the power of the test. However, it also increases the likelihood of a Type I error, which is rejecting the null hypothesis when it is true. Therefore, B is the best choice as it correctly identifies both effects of increasing alpha.

When Alpha Increases, Both _____ and _____ Increase

When Alpha Increases, Both _ and _ Increase