For a given sample size n, if the level of significance ( $\alpha$ ) is decreased, the power of the test
A) will increase.
B) will decrease.
C) will remain the same.
D) cannot be determined.

Question

Quizplus · Accepted Answer

Decreasing the level of significance ($\alpha$) typically increases the probability of a Type II error ($\beta$), which in turn decreases the power of the test (1-$\beta$).

For a Given Sample Size N, If the Level of Significance