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Imagine you have designed a test for detecting whether a dog has a common parasitic infection. 10% of the dogs who take your test are actually infected. The test has a false positive rate of 10% and a false negative rate of 5%. (The false positive rate is the proportion of healthy dogs wrongly identified as being infected; the false negative rate is the proportion of infected dogs wrongly identified as being healthy.) What can we say about those dogs which test positive for the parasite? Pick ONE option They are very likely to truly be infected. They are slightly more likely to be infected than healthy. They are slightly more likely to be healthy than infected. They are very likely to be healthy. We cannot be sure from the information given.

Imagine you have designed a test for detecting whether a dog has a common parasitic infection. 10% of the dogs who take your test are actually infected. The test has a false positive rate of 10% and a false negative rate of 5%. (The false positive rate is the proportion of healthy dogs wrongly identified as being infected; the false negative rate is the proportion of infected dogs wrongly identified as being healthy.) What can we say about those dogs which test positive for the parasite? Pick ONE option They are very likely to truly be infected. They are slightly more likely to be infected than healthy. They are slightly more likely to be healthy than infected. They are very likely to be healthy. We cannot be sure from the information given.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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12. Test specificity Imagine you have designed a test for detecting whether a dog has a common parasitic infection. 10% of the dogs who take your test are actually infected. The test has a false positive rate of 10% and a false negative rate of 5%. (The false positive rate is the proportion of healthy dogs wrongly identified as being infected; the false negative rate is the proportion of infected dogs wrongly identified as being healthy.) What can we say about those dogs which test positive for the parasite? Pick ONE option They are very likely to truly be infected. They are slightly more likely to be infected than healthy. They are slightly more likely to be healthy than infected. They are very likely to be healthy. We cannot be sure from the information given.
Transcribed Image Text:12. Test specificity Imagine you have designed a test for detecting whether a dog has a common parasitic infection. 10% of the dogs who take your test are actually infected. The test has a false positive rate of 10% and a false negative rate of 5%. (The false positive rate is the proportion of healthy dogs wrongly identified as being infected; the false negative rate is the proportion of infected dogs wrongly identified as being healthy.) What can we say about those dogs which test positive for the parasite? Pick ONE option They are very likely to truly be infected. They are slightly more likely to be infected than healthy. They are slightly more likely to be healthy than infected. They are very likely to be healthy. We cannot be sure from the information given.
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