Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of $H _ { 0 } : \mu = 16$ versus $H _ { 1 } : \mu \neq 16$. The true value of $\mu$ is 19 and not rejected.
A) Type I error
B) Correct decision
C) Type II error

Question

Quizplus · Accepted Answer

A Type II error occurs when the null hypothesis is not rejected, but it is actually false. Since the true value of $\mu$ is 19, which is different from 16, and the null hypothesis $H_0: \mu = 16$ was not rejected, this is a Type II error.

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