The following table shows the results of a medical test.Positive Test ResultNegative Test ResultTotal%%Has Disease491%24515%Does Not Have Disease45214259TotalUse 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.536238b. If a person has the disease, what is the probability that person tests negative? This is sometimes called the false negative rate.774c. 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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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

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter12: Probability

Section12.4: Discrete Random Variables; Applications To Decision Making

Problem 2E

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