Suppose a steroid test is 81% sensitive and 85% specific. That is, the tes will produce 81% true positive results for steroid users and 85% true negative results for non-steroid users. Suppose that 2.8% 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 O AND 100 AND ROUNDED TO 4 DECIMAL PLACES. (e.g. 59.5321 would be 59.5321%)
Suppose a steroid test is 81% sensitive and 85% specific. That is, the tes will produce 81% true positive results for steroid users and 85% true negative results for non-steroid users. Suppose that 2.8% 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 O AND 100 AND ROUNDED TO 4 DECIMAL PLACES. (e.g. 59.5321 would be 59.5321%)
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Question
![Suppose a steroid test is 81% sensitive and 85% specific. That is, the test
will produce 81% true positive results for steroid users and 85% true
negative results for non-steroid users. Suppose that 2.8% 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 O AND 100 AND ROUNDED TO 4
DECIMAL PLACES.
(e.g. 59.5321 would be 59.5321%)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc23aaeff-dff2-4da8-bc87-e3bf9a79c130%2F74593d58-f996-4273-ae47-f12596977a5d%2Fq6j1xz_processed.png&w=3840&q=75)
Transcribed Image Text:Suppose a steroid test is 81% sensitive and 85% specific. That is, the test
will produce 81% true positive results for steroid users and 85% true
negative results for non-steroid users. Suppose that 2.8% 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 O AND 100 AND ROUNDED TO 4
DECIMAL PLACES.
(e.g. 59.5321 would be 59.5321%)
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