3. Suppose a particular test for whether someone has been using cannabis is 91% sensitive, meaning the true positive rate = 0.91. Therefore it leads to 91% true positive results (correct identification of drug use) for cannabis users and 9% false negatives. The test is also 82% specific, meaning the true negative rate 0.82. Therefore the test correctly identifies 82% of non-users as non-users, but also generates 18% false positives. Assuming 0.04 prevalence (frequency), meaning 4% of people in the general population use cannabis, what is the

MATLAB: An Introduction with Applications
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3. Suppose a particular test for whether someone has been using cannabis is 91% sensitive,
meaning the true positive rate 0.91. Therefore it leads to 91% true positive results (correct
identification of drug use) for cannabis users and 9% false negatives. The test is also 82%
specific, meaning the true negative rate 0.82. Therefore the test correctly identifies 82% of
non-users as non-users, but also generates 18% false positives. Assuming 0.04 prevalence
(frequency), meaning 4% of people in the general population use cannabis, what is the
probability that a random person who tests positive is really a cannabis user?
Transcribed Image Text:3. Suppose a particular test for whether someone has been using cannabis is 91% sensitive, meaning the true positive rate 0.91. Therefore it leads to 91% true positive results (correct identification of drug use) for cannabis users and 9% false negatives. The test is also 82% specific, meaning the true negative rate 0.82. Therefore the test correctly identifies 82% of non-users as non-users, but also generates 18% false positives. Assuming 0.04 prevalence (frequency), meaning 4% of people in the general population use cannabis, what is the probability that a random person who tests positive is really a cannabis user?
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