Increasing sample size:
A) decreases the likelihood that we will reject the null hypothesis.
B) increases the likelihood that we will reject the null hypothesis.
C) has no effect on the likelihood that we will reject the null hypothesis.
D) makes it more likely that we will make a Type II error.

Question

Quizplus · Accepted Answer

Increasing the sample size increases the power of the test, or the ability to detect a true difference between the groups being compared. This means that it is more likely that we will reject the null hypothesis when it is actually false.

Increasing Sample Size