Mathematics, 10.03.2020 23:39 babysune01
Consider Derek's example of a disease that affects one person in a thousand. The test was 99% accurate, meaning one false positive for every hundred people, or 10 in a thousand. So 11 people would get positive tests but only 1 is real. So the odds of being the real one are 1:11 or 9%. Suppose there is a new test that is 99.9% accurate; ten times more accurate. Compared to the first test, a positive result on the second test would indicate that the probability that you have the disease is
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Consider Derek's example of a disease that affects one person in a thousand. The test was 99% accura...
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