The table below shows the results of using X-ray imaging as a diagnostic test for tuberculosis in patients with known TB status. Use it to answer the questions below. Test for TB TB absent TB present Negative 1739 8 Positive 51 22 Use this table to calculate the sensitivity and specificity of the test. Suppose that you have the knowledge that the prevalence of TB in a population is P(D) = 0.001, use the previously calculated sensitivity and specificity to answer the following questions about testing a patient from the population (not those used in the study in the table.) 1. Using the law of total probability, calculate P(Pos), the probability that a randomly chosen person from the population tests positive for the disease and P(Neg), the probability that a randomly chosen person tests negative for the disease. 2. Using Bayes' formula, find the probability that a patient who tested positive has the disease P(D | Pos) and the probability that a patient who tested negative is healthy P(H | Neg). 3. If the disease prevalence were P(D) =0.5, repeat the calculations to find the new P(D | Pos) and P(H | Neg).

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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The table below shows the results of using X-ray imaging as a diagnostic test for tuberculosis in patients
with known TB status. Use it to answer the questions below.
Test for TB
TB absent
TB present
Negative
1739
Positive
51
22
Use this table to calculate the sensitivity and specificity of the test. Suppose that you have the
knowledge that the prevalence of TB in a population is P(D) = 0.001, use the previously calculated
sensitivity and specificity to answer the following questions about testing a patient from the population
(not those used in the study in the table.)
1. Using the law of total probability, calculate P(Pos), the probability that a randomly chosen person
from the population tests positive for the disease and P(Neg), the probability that a randomly chosen
person tests negative for the disease.
2. Using Bayes' formula, find the probability that a patient who tested positive has the disease P(D |
Pos) and the probability that a patient who tested negative is healthy P(H | Neg).
3. If the disease prevalence were P(D) =0.5, repeat the calculations to find the new P(D | Pos) and P(H |
Neg).
Transcribed Image Text:The table below shows the results of using X-ray imaging as a diagnostic test for tuberculosis in patients with known TB status. Use it to answer the questions below. Test for TB TB absent TB present Negative 1739 Positive 51 22 Use this table to calculate the sensitivity and specificity of the test. Suppose that you have the knowledge that the prevalence of TB in a population is P(D) = 0.001, use the previously calculated sensitivity and specificity to answer the following questions about testing a patient from the population (not those used in the study in the table.) 1. Using the law of total probability, calculate P(Pos), the probability that a randomly chosen person from the population tests positive for the disease and P(Neg), the probability that a randomly chosen person tests negative for the disease. 2. Using Bayes' formula, find the probability that a patient who tested positive has the disease P(D | Pos) and the probability that a patient who tested negative is healthy P(H | Neg). 3. If the disease prevalence were P(D) =0.5, repeat the calculations to find the new P(D | Pos) and P(H | Neg).
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