In an experiment, if the effect of the independent variable and alpha remain the same and N increases, _________.
A) power increases
B) power decreases
C) power remains the same
D) cannot be determined

Question

Quizplus · Accepted Answer

Power is the probability of correctly rejecting the null hypothesis when it is false. As the sample size (N) increases, the power of the experiment increases, assuming that the effect of the independent variable and alpha remain the same. This is because with a larger sample size, the effect of the independent variable is more likely to be detected, and the chance of making a Type II error (failing to reject the null hypothesis when it is false) decreases.

In an Experiment, If the Effect of the Independent Variable