Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of $H _ { 0 } : \mu = 40$ versus $H _ { 1 } : \mu \neq 40$. The true value of $\mu$ is 40 and rejected.
A) Type II error
B) Type I error
C) Correct decision

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is true but is incorrectly rejected. Since the true value of $\mu$ is 40 and the null hypothesis $H_0: \mu = 40$ is rejected, this is a Type I error.

Determine Whether the Outcome Is a Type I Error, a Type