In a certain year, it was estimated that 1,000,000 of the 307,000,000 residents of the United States are HIV-positive. (HIV is the virus that is believed to cause AIDS.) The Repeatedly Reactive Immunoassay (RRIA) diagnostic test correctly diagnoses the presence of AIDS/HIV 99.7% of the time and correctly diagnoses its absence 98.5% of the time. (Round your answers to four decimal places.) (a) Find the probability that a person whose test results are positive actually has HIV. (b) Find the probability that a person whose test results are negative does not have HIV. (c) Find the probability that a person whose test results are positive does not have HIV.

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In a certain year, it was estimated that 1,000,000 of the 307,000,000 residents of the United States are HIV-positive. (HIV is the virus that is believed to cause AIDS.) The Repeatedly Reactive Immunoassay (RRIA) diagnostic test correctly diagnoses the presence of AIDS/HIV 99.7% of the time and correctly diagnoses its absence 98.5% of the time. (Round your answers to four decimal places.)

(a) Find the probability that a person whose test results are positive actually has HIV.
(b) Find the probability that a person whose test results are negative does not have HIV.


(c) Find the probability that a person whose test results are positive does not have HIV.


(d) Find the probability that a person whose test results are negative actually has HIV.


(e) Which of the probabilities would you be interested in if you or someone close to you tested positive?
the probability that a person whose test results are positive actually has HIVthe probability that a person whose test results are negative does not have HIV    the probability that a person whose test results are negative actually has HIV

(f) Which of these events is a false positive?
the probability that a person whose test results are negative does not have HIVthe probability that a person whose test results are negative actually has HIV    the probability that a person whose test results are positive does not have HIVthe probability that a person whose test results are positive actually has HIV

Which is a false negative?
the probability that a person whose test results are positive actually has HIVthe probability that a person whose test results are negative actually has HIV    the probability that a person whose test results are negative does not have HIVthe probability that a person whose test results are positive does not have HIV

(g) Discuss the usefulness of this diagnostic test.


(h) It has been proposed that all immigrants to the United States should be tested for HIV before being allowed into the country. Discuss this proposal.

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