A steroid detection test is 93% effective at detecting steroid use, meaning that the probability of a user testing positive is 0.93. Unfortunately, it has a false positive rate of 9%, meaning the the probability of of a nonuser testing positive is 0.09. A large university estimates that about 12% of its athletes use steroids. The universitys quarterback tests positive for steroids, yet he claims he does not use them. What are the chances that he is telling the truth?
A steroid detection test is 93% effective at detecting steroid use, meaning that the probability of...
A new test is developed for detecting the presence of steroids in athlete urine samples. The test could produce false negative results 5% of the time. It could also produce false positive results 10% of the time. Based on past evidence, it is believed that 2% of the athletes do use steroids. This test is administered to an athlete, and his test result is positive for steroids. What is the probability that this athlete actually used steroids? Show your work....