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1) Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who has the disease has a 99% chance of testing positive for the disease, while a person who doesn't have the disease has a 99% chance of testing negative for 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?

Possible Answers:

0.99

0.40 

0.50 

0.45

None of the above

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