Suppose you live in a city where 10% of the population has had Coronavirus. There is an antibody test that screens to see whether you have had the disease. Like all medical tests, it is not perfect; the sensitivity is 93.8% and the specificity is 95.6%. [These are real figures for a particular test.] These numbers refer to the true positive and true negative rate, respectively; that is, sensitivity is P(positive test|had disease) and specificity is P(negative test|did not have disease).

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Suppose you live in a city where 10% of the population has had Coronavirus. There
is an antibody test that screens to see whether you have had the disease. Like all medical tests,
it is not perfect; the sensitivity is 93.8% and the specificity is 95.6%. [These are real figures for a
particular test.] These numbers refer to the true positive and true negative rate, respectively;
that is, sensitivity is P(positive test|had disease) and specificity is P(negative test|did not have
disease).
Transcribed Image Text:Suppose you live in a city where 10% of the population has had Coronavirus. There is an antibody test that screens to see whether you have had the disease. Like all medical tests, it is not perfect; the sensitivity is 93.8% and the specificity is 95.6%. [These are real figures for a particular test.] These numbers refer to the true positive and true negative rate, respectively; that is, sensitivity is P(positive test|had disease) and specificity is P(negative test|did not have disease).
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