Suppose a researcher wants to make sure that the probability of committing a Type I error is less than 5%.How can the researcher control for this?
A)Set the value for a Type II error at .05.
B)Set the alpha level at .05.
C)Place the rejection region in both tails.
D)both B and C

Question

Quizplus · Accepted Answer

By setting the alpha level at .05, the researcher can control the probability of committing a Type I error (i.e., rejecting a true null hypothesis) to less than 5%. This is because the alpha level represents the maximum probability that the researcher is willing to accept for making a Type I error. By choosing an alpha level of .05, the researcher is essentially saying that they are comfortable with making a Type I error 5% of the time or less. By contrast, setting the value for a Type II error at .05 is not a way to control for the probability of committing a Type I error, as a Type II error represents the probability of failing to reject a false null hypothesis. Additionally, placing the rejection region in both tails is a technique for conducting a two-tailed hypothesis test and does not by itself control for the probability of committing a Type I error.

Suppose a Researcher Wants to Make Sure That the Probability