The following table shows the results of a medical test. Positive Test Result Negative Test Result Total % Has Disease % 491 24 % 515 Does Not Have Disease 45 214 259 Total 536 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. 238 774 b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. 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
The following table shows the results of a medical test. Positive Test Result Negative Test Result Total % Has Disease % 491 24 % 515 Does Not Have Disease 45 214 259 Total 536 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. 238 774 b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate. 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
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Transcribed Image Text:The following table shows the results of a medical test.
Positive Test Result
Negative Test Result
Total
%
%
Has Disease
491
%
24
515
%
Does Not Have Disease
45
214
259
Total
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.
536
238
b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate.
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.
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