Answer:
The correct answer is - true.
Explanation:
Type I error occurs when the alternate hypothesis is accepted though it is false. A type II error is the failure to reject a false null hypothesis or an alternative hypothesis is rejected even though it is true.
For instance of type II errors: a blood test designed to detect the disease failing to detect the disease in a patient who really has the disease. In the given case vaccination not approved even though reduce the risk of contracting the HIV virus.
Thus, the correct answer is - true.
