Which of the following statements is true regarding the relationship between a Type I and Type II error in a given situation?
A)Their probabilities add up to 1.
B)A Type II error is two times as large as its corresponding Type I error.
C)As the probability of one of them increases, the probability of the other one decreases.
D)All of the above.

Question

Quizplus · Accepted Answer

The relationship between Type I and Type II errors is such that as the probability of making one type of error increases, the probability of making the other type decreases. This is because increasing the threshold for rejecting the null hypothesis (thus reducing Type I errors) will increase the chance of not detecting a true effect (increasing Type II errors), and vice versa.

Which of the Following Statements Is True Regarding the Relationship