True False When the null hypothesis is not rejected there is

True/ False: When the null hypothesis is not rejected, there is no possibility of making a Type I error. (

Solution

Type I error : It is the probability of rejecting true null hypothesis.

Type II error : It is the probability of fail to reject the false null hypothesis.

That is When the null hypothesis is not rejected, there is no possibility of making a Type II error. Hence, given statement is false.