For a given level of significance,if the sample size increases,the probability of a Type II error will:
A) remain the same.
B) increase.
C) decrease.
D) be equal to 1.0 regardless of $\alpha$.

Question

Quizplus · Accepted Answer

As the sample size increases, the power of the test increases, which means the probability of a Type II error (failing to reject a false null hypothesis) decreases.

For a Given Level of Significance,if the Sample Size Increases,the α\alphaα

For a Given Level of Significance,if the Sample Size Increases,the $\alpha$