Answer the question.
-Suppose that a test for a disease correctly gives positive results for 95% of those having the disease and correctly gives negative results for 92% of those who don't have the disease. Suppose also that
The incidence of the disease is 1%. If a person tests positive for the disease, what can you say about
Their chance of having the disease?
A)It is about 50%
B)It is 95%
C)It is quite low
D)It is very high

Question

Quizplus · Accepted Answer

Given the test's high specificity and sensitivity, the probability of a true positive is still influenced by the low incidence rate (1%). Using Bayes' theorem, the actual chance of having the disease despite a positive test result is lower than one might expect, due to the relatively high chance of false positives in the context of the overall population.

Answer the Question. -Suppose That a Test for a Disease Correctly Gives Positive