Screening tests (e.g., HIV testing) are evaluated on the probability of a false negative or a false positive. How may one classify these probabilities?
A) They are both conditional probabilities.
B) They measure the probability of the intersection of two events.
C) They measure the probability of the union of two events
D) They are both marginal probabilities.

Question

Quizplus · Accepted Answer

False negative and false positive probabilities are both conditional probabilities because they measure the probability of a positive or negative result given the true state of the person being tested (i.e., whether they have the disease or not).

Screening Tests (E