Find probability of having a disease when testing positive

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Probability of Having a Disease when Testing Positive
Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who tests positive for the disease has a 99% chance of actually having the disease, while a person who tests 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?

Reference no: EM13118081

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