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?