Assuming the same significance level is used, how does increasing the sample size from 50 to 100 affect the power of a test?
A)The power decreases.
B)The power increases.
C)The power does not change.
D)The power does change, but it might either decrease or increase.
E)It is not possible to predict whether the power will increase, decrease, or remain the unchanged.

Question

Assuming the same significance level is used, how does increasing the sample size from 50 to 100 affect the power of a test? ​
A)The power decreases.
B)The power increases.
C)The power does not change.
D)The power does change, but it might either decrease or increase.
E)It is not possible to predict whether the power will increase, decrease, or remain the unchanged.

Quizplus · Accepted Answer

Increasing the sample size generally increases the power of a test. This means the test is more likely to detect a true effect (if one exists) because larger sample sizes reduce the standard error, making it easier to find statistically significant differences.

Assuming the Same Significance Level Is Used, How Does Increasing