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A doctor examines a patient and thinks the patient might have a disease that is very...

A doctor examines a patient and thinks the patient might have a disease that is very rare -- 1 in 5 million. The patient goes for a test which is 99.9% accurate -- meaning false positives as well as false negatives occur only .1 percent of the time. a) If the test comes back positive, what is the probability that the patient has the disease? b) If, after seeing the test results, the patient decides to have another lab administer the same test and the test results come back positive again, what is the probability that he has the disease now?

Hint: You can use a Bayesian calculator such as: http://psych.fullerton.edu/mbirnbaum/bayes/BayesCalc.htm

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