The probability of a Type II error increases when
A) lower significance levels are used.
B) larger sample sizes are selected.
C) a stronger relationship in the population is assumed.
D) statistical power is calculated on a post hoc bsis.

Question

Quizplus · Accepted Answer

Lower significance levels mean that the researcher is less willing to accept evidence against the null hypothesis, which increases the chances of failing to reject the null hypothesis when it is actually false, leading to a Type II error.

The Probability of a Type II Error Increases When