A Type II error is more likely when you
A) are running a test of independence
B) are testing for goodness of fit
C) use the 2 x 2 shortcut
D) have expected frequencies that are very small.

Question

Quizplus · Accepted Answer

A Type II error, or failing to reject a false null hypothesis, is more likely when expected frequencies in a chi-square test are very small. This is because small expected frequencies can lead to a lack of power in the test, making it harder to detect a true effect.

A Type II Error Is More Likely When You