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It is known that 0.2 percent of the population is HIV-positive. It is known that a screening test for HIV has a 10 percent chance of incorrectly showing positive if you are not, and a 2 percent chance of incorrectly showing negative if you are in truth positive. What proportion of the population that tests positive is in truth positive?
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Econ. 240A, Spring 1998 D. McFadden
PROBLEM SET 1 (Review of Elementary Probability theory)
(Due Monday, Feb. 2, with discussion in section on Feb. 4)
2
2 3 4 4 variance σ. Prove that E (X-μ) = 0 and E (X-μ) = 3σ.