Random Variables

However the test gives a false positive positive

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Unformatted text preview: 1: False Positives and False Negatives —༉  Suppose that only 3 in 10,000 people have a certain disease. In a test for the disease, a positive result indicates that the person may have the disease and a negative result generally means the person does not have the disease. —༉  However, the test gives a false positive (positive result when the person does not have the disease) 4% of the time for healthy people and gives a false negative (negative result when the person does have the disease) 1% of the time for people with the disease. —༉  Statistics: Unlocking the Power of Data Lock5 If a person has the test and receives a positive result, what is the probability that the person actually h...
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This document was uploaded on 03/03/2014.

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