Applying Statistical Inference: An Example We can increase the power of a statistical test by
A)adopting a more extreme (.01 versus .05) significance level.
B)increasing beta.
C)increasing sample size.
D)selecting a nonparametric test.

Question

Quizplus · Accepted Answer

Increasing sample size is the best choice for increasing the power of a statistical test. This is because increasing sample size decreases the standard error, which results in a narrower distribution of sample means and increases the likelihood of rejecting the null hypothesis. Adopting a more extreme significance level (A) may increase the Type I error rate, and selecting a nonparametric test (D) may not necessarily increase power. Increasing beta (B) would decrease power, as it would increase the likelihood of failing to reject a false null hypothesis.

Applying Statistical Inference: an Example We Can Increase the Power