A type ii error is committed when
a. the sample size has been too small
b. not enough information has been available
c. a true null hypothesis is mistakenly rejected
d. a true alternative hypothesis is mistakenly rejected

Respuesta :

The answer in this question is C. A true null hypothesis is mistakenly rejected. By the definition of a type II error is the event where you've failed to reject the null and consequently have to accept it, but the alternate is actually the correct choice. So we will go to the choice C.

The answer to this question is C.

What is a Type II error?

A Type II error means not rejecting the null hypothesis when it's actually false.

How to determine?

The answer to this question is C.

A true null hypothesis is mistakenly rejected.

By the definition of a type II error is the event where you've failed to reject the null and consequently have to accept it, but the alternate is actually the correct choice. So we will go to choice C.

Learn more about Type II:

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