2. A diagnostic test for disease is quick and cheap, but makes errors. Test positive-have the disease. Test negative-doesn't have the disease. If a person has the disease, the probability that the test is positive is 0.95. If a person doesn't have the disease, the probability that the test is positive is 0.015. The incident rate for the disease (the probability that a person has the disease) is 0.01. What is the probability that a person according to the test has the disease really does have it? If the test result is negative, what is the probability that you have the disease