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).
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).
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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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).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F92efcd59-ffcf-4e1f-b97d-aec98c314207%2Fdba05170-720e-4c03-84c4-2fdd73254fe5%2Fw08iz0b.jpeg&w=3840&q=75)
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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