Final answer:
The statement is true; a Type II error occurs when the null hypothesis is not rejected, even though it is actually false.
Step-by-step explanation:
The question posed is regarding hypothesis testing and the occurrence of Type II errors. A Type II error occurs when the decision is made not to reject the null hypothesis (H0), even though in reality, H0 is false. To answer the student's query – A Type II error can only occur when you fail to reject H0: This statement is true. If you reject H0, you cannot make a Type II error; instead, you would possibly be making a Type I error. The probability of committing a Type II error is denoted by the Greek letter beta (β).