A professional sports organization is going to implement a test for steroids.The test gives a positive reaction in 94% of the people who have taken the steroid.However,it erroneously gives a positive reaction in 4% of the people who have not taken the steroid.What is the probability of a Type I and Type II error using the null hypothesis "the individual has not taken steroids."
A)Type I: 4%,Type II: 6%
B)Type I: 6%,Type II: 4%
C)Type I: 94%,Type II: 4%
D)Type I: 4%,Type II: 94%

Question

Quizplus · Accepted Answer

Type I error is the probability of rejecting the null hypothesis when it is true, which is 4% (false positive rate). Type II error is the probability of failing to reject the null hypothesis when it is false, which is 6% (1 - 94% true positive rate).

A Professional Sports Organization Is Going to Implement a Test