Question

in a medical test, p(positive test | disease) = 0.95 and p(positive test | no disease) = 0.08. if 2% of the population has the disease, which statement best explains why most people with positive tests dont actually have the disease? there are many more healthy people than sick people in the population the test is not very accurate the disease is too rare to detect reliably the test gives too many false negatives

Explanation:

Since only 2% of the population has the disease, meaning there are far - more healthy people (98%) than sick people. The false - positive rate among healthy people (P(positive test | no disease)=0.08) means that a significant number of the large healthy population will test positive, outnumbering the true - positive cases from the small sick population.

Answer:

There are many more healthy people than sick people in the population