The following table shows the results of a medical test. Positive Test Result Negative Test Result 95.3 4.6 Total 82.6 % 4.6 X % Has Disease 491 % 24 515 x% Does Not Have Disease Use the preceding data to estimate each of the following. (Express each response as a percentage rounded to one decimal place.) a. If a person has the disease, what is the probability that person tests positive? This is the sensitivity or true positive rate of a test. 45 214 259 b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. Total 536 238 c. If a person does not have the disease, what is the probability that person tests negative? This is the specificity or true negative rate of a test. 774 d. If a person does not have the disease, what is the probability that person tests positive? This is sometimes called the false positive rate.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Suppose a test for a disease has a sensitivity of 84% and a specificity of 79%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease.
Fill in the accompanying table.
Positive Test Result
Negative Test Result
Total
Has Disease
150000
X
Does Not Have Disease
Total
Transcribed Image Text:Suppose a test for a disease has a sensitivity of 84% and a specificity of 79%. Further suppose that in a certain country with a population of 60,000, 20% of the population has the disease. Fill in the accompanying table. Positive Test Result Negative Test Result Total Has Disease 150000 X Does Not Have Disease Total
The following table shows the results of a medical test.
Positive Test Result
Negative Test Result
95.3
4.6
Total
82.6
%
4.6
Has Disease
X %
491
24
%
515
Does Not Have Disease
45
Use the preceding data to estimate each of the following. (Express each response as a percentage rounded to one decimal place.)
a. If a person has the disease, what is the probability that person tests positive? This is the sensitivity or true positive rate of a test.
214
259
Total
b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate.
536
238
774
c. If a person does not have the disease, what is the probability that person tests negative? This is the specificity or true negative rate of a test.
d. If a person does not have the disease, what is the probability that person tests positive? This is sometimes called the false positive rate.
X %
Transcribed Image Text:The following table shows the results of a medical test. Positive Test Result Negative Test Result 95.3 4.6 Total 82.6 % 4.6 Has Disease X % 491 24 % 515 Does Not Have Disease 45 Use the preceding data to estimate each of the following. (Express each response as a percentage rounded to one decimal place.) a. If a person has the disease, what is the probability that person tests positive? This is the sensitivity or true positive rate of a test. 214 259 Total b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. 536 238 774 c. If a person does not have the disease, what is the probability that person tests negative? This is the specificity or true negative rate of a test. d. If a person does not have the disease, what is the probability that person tests positive? This is sometimes called the false positive rate. X %
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