Question: Suppose a steroid test is 92% sensitive and 90% specific. That is, the test will produce 92% true positive results for steroid users and 90%

Suppose a steroid test is 92% sensitive and 90% specific. That is, the test will produce 92% true positive results for steroid users and 90% true negative results for non-steroid users. Suppose that 4.7% of people are steroid users. If a randomly selected individual tests negative, what is the probability he or she is a steroid user?

YOUR ANSWER SHOULD BE BETWEEN 0 AND 100 AND ROUNDED TO 4 DECIMAL PLACES.

Use Bayes rule.

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