document.write( "Question 1151389: A diagnostic test for a certain disease is said to be 90% accurate in that, if a person has the disease, then the test will detect with probability 0.9.
\n" ); document.write( "Also, if a person does not have the disease, then the test will report that he or she doesn’t have it with probability 0.9. Only 1% of the population has the disease in question. If the diagnostic test reports that a person chosen at random from the population has the disease, then what is the conditional probability that the person, in fact, has the disease?
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Algebra.Com's Answer #773594 by VFBundy(438)\"\" \"About 
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We are given this info:
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\n" ); document.write( "Chances a person with the disease tests positive = 0.90 [GIVEN]
\n" ); document.write( "Chances a person with the disease tests negative = 0.10
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\n" ); document.write( "Chances a person without the disease tests positive = 0.10
\n" ); document.write( "Chances a person without the disease tests negative = 0.90 [GIVEN]
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\n" ); document.write( "It is also given that the person chosen at random tests positive for the disease, so we are only concerned with:
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\n" ); document.write( "Chances a person with the disease tests positive = 0.90
\n" ); document.write( "Chances a person without the disease tests positive = 0.10
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\n" ); document.write( "We also know that only 1% of the population actually has the disease, so the above needs to be weighted as such:
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\n" ); document.write( "Chances a person with the disease tests positive = 0.90 * 0.01 = 0.009
\n" ); document.write( "Chances a person without the disease tests positive = 0.10 * 0.99 = 0.099
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\n" ); document.write( "We want to find the probability that the random person who tested positive actually has the disease, so we compute that as such:
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\n" ); document.write( "\"0.009%2F%280.009+%2B+0.099%29\" = \"0.009%2F0.108\" = 0.0833
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