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A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time if the person has the virus and 5% of the time if the person does not have the virus.
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A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time if the
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To solve these problems, we can use Bayes' theorem, which states: P(A|B) = (P(B|A) * P(A)) / P(B)
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A certain virus infects one in every 300 people. A test used to detect the virus in a person is positive 80% of the time if the
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A. 3.34 B. 99.9
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Use Bayes' theorem to solve this problem.
A certain virus infects 10 in every 5000 people. A test used to detect the virus in a
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To solve this problem using Bayes' theorem, we need to understand the given probabilities and
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A certain virus infects one in every 500 people. A test used to detect the virus in a person is positive 90% of the time if the
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A certain virus infects one in every 500 people. A test used to detect the virus in a person is positive 90% of the time if the
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The idea is sound, but You have the very first step incorrect. In probability problem, it is best to
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A certain virus infects one in every 400 people. A test used to detect the virus in a person is positive 90% of the time if the
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Given: P(A)=1/400 P(B|A)=9/10 P(B|~A)=1/10 By the law of complements, P(~A)=1-P(A)=399/400 By the
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A certain virus infects one in every 600 people. A test used to detect the virus in a person is positive 90% of the time if the
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To understand the solution given below, you will need to know a few definitions or identities: 1.
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A certain virus infects one in every 600 people. A test used to detect the virus in a person is positive 90% of the time if the
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See similar problem here: http://www.jiskha.com/display.cgi?id=1481848396
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A certain virus infects one in every 2000 people. A test used to detect the virus in a person is positive 96% of the time if the
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To determine the probability of someone having the virus given a positive test result, we can use
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A certain virus infects one in every 200 people. A test used to detect the virus in a person is positive 90% of the time if the
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Given probabilities: P(A) = 1/200 = 0.005 P(B) = 199/200 = 0.995 P(B|A) = 0.9 P(B|~A) = 0.1 Infer:
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