A Type I error is committed when a. you don't reject a null hypothesis that is true. b. you don't reject a null hypothesis that is false. c. you reject a null hypothesis that is true. d. you reject a null hypothesis that is false.

c. you reject a null hypothesis that is true

Step-by-step explanation:

We need to remember the following concepts

Error type I: Is an error associated to the probability of reject a null  hypothesis when it is actually true

Error type II: Is an error associated of not rejecting a null  hypothesis when the alternative hypothesis is the true

And the best answer for this case would be:

c. you reject a null hypothesis that is true

true

explanation: