Answer: Rate
Explanation:
- Rate is the one that is used to describe the number of legitimate users who are denied access because there is a failure happening in the biometric device and that type of failure is also known as Type I Error.
When it comes to hypothesis testing we can say that this kind of error is considering the rejection of the null hypothesis. On the other side, there is also Type II Error who is not rejecting the false null hypothesis and it is the opposite of a Type I Error.
