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What is the probability that person will test positive

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HIV Testing: In July 2005, the journal Annals of Internal Medicine published a report on the reliability of HIV testing. Results of a large study suggested that among people with HIV, 99.7% of the tests were (correctly) positive, while for people without HIV, 98.5% of the tests were (correctly) negative. A clinic serving an at-risk population offers free HIV testing, believing that 15% of the patients may actually carry HIV. (Hint: a tree diagram may be helpful)

a) What is the probability that a person will test positive for HIV?

b) What is the probability that a person will test negative for HIV?

c) What is the probability that a person testing negative is truly free of HIV?

Reference no: EM131435656

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