Which of the following is incorrect?
A)The level of significance is the probability of making a Type I error.
B)Lowering both α and β at once will require a higher sample size.
C)The probability of rejecting a true null hypothesis increases as n increases.
D)When Type I error increases, Type II error must decrease, ceteris paribus.

Question

Quizplus · Accepted Answer

C) is incorrect because the probability of rejecting a true null hypothesis (Type I error) is determined by the level of significance (α), not by the sample size (n). Increasing the sample size generally increases the test's power, affecting the probability of correctly rejecting a false null hypothesis (1 - β), not the probability of incorrectly rejecting a true null hypothesis.

Which of the Following Is Incorrect