Changing the significance level of a hypothesis test from 5% to 10%,
A)Reduces the chances of Type I error.
B)Increases the chances of Type I error.
C)Reduces the chances of Type II error.
D)Both a and c are true.
E)Both b and c are true.

Question

Quizplus · Accepted Answer

Increasing the significance level from 5% to 10% increases the chances of a Type I error (rejecting a true null hypothesis) because you are more willing to find evidence against the null hypothesis. It also reduces the chances of a Type II error (failing to reject a false null hypothesis) because you have made the criteria for rejecting the null hypothesis less stringent.

Changing the Significance Level of a Hypothesis Test from 5