Answer:
The correct answer is given as:
The error of rejecting the claim that the true proportion is fewer than 0.0011% when it really is lower than 0.0011%
Step-by-step explanation:
When executing hypothesis testing, the probability of rejecting a true null hypothesis is referred to as type one error is.
When on the other hand there is the probability of not rejecting the null hypothesis when its actually false, type two error is said to have occurred.
The strenght/quality of a good test is the probability of rejecting a false null hypothesis.
Cheers!