Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who test positive for the disease has a 99% chance of actually having the disease, while a person who test negative for the disease has a 99% chance of not having the disease.
If a person tests positive for the disease, what is the chance (rounded to the nearest hundredth) that he or she actually has the disease?
I have worked the problem two ways and am receiving two different answers.© BrainMass Inc. brainmass.com September 19, 2018, 7:14 pm ad1c9bdddf - https://brainmass.com/statistics/probability/bayer-s-theory-example-for-statistics-students-465427
A complete worked through example of a probability problem involving Bayer's theory.