Answer:
Not to conclude that the drug is safe, when, in fact, it is safe.
Explanation:
A type ii error is an error that occurs in a hypothesis testing when a person goes ahead to accept a null hypothesis when it is actually false and should be rejected.
To continue, here are the hypothesis:
H0: the drug is unsafe
H1: drug is safe.
A type ii error was committed here because H0, which is the null was accepted and it was concluded that the drug was unsafe, When in fact it should have been rejected. The conclusion should have been that the drug was safe.