Šuppose a team of clinical psychologists develops a test to predict which patients who are treated with opioid painkillers develop a serious problem called Opioid Use Disorder (OUD). Let's suppose that the tests are right 80% of the time both in predicting which patients treated with an opioid will develop Opioid Use Disorder and which will not. That's a pretty good test. Suppose we give the test to 1,000 people with the partial results shown here. In that case, here is the question: What is the likelihood (percent of the time) that a person who is predicted to develop OUD actually does so (that is, he or she actually develops the OUD)? ACTUAL OUD Not OUD Predict OUD 80 TEST RESULT Predict Not OUD 720 100 900 1,000 80/720 = 11% 720 / 900 = 80% 80/260 = 31% 260 / 1,000 = 26%

Šuppose a team of clinical psychologists develops a test to predict which patients who are treated with opioid painkillers develop a serious problem called Opioid Use Disorder (OUD). Let's suppose that the tests are right 80% of the time both in predicting which patients treated with an opioid will develop Opioid Use Disorder and which will not. That's a pretty good test. Suppose we give the test to 1,000 people with the partial results shown here. In that case, here is the question: What is the likelihood (percent of the time) that a person who is predicted to develop OUD actually does so (that is, he or she actually develops the OUD)? ACTUAL OUD Not OUD Predict OUD 80 TEST RESULT Predict Not OUD 720 100 900 1,000 80/720 = 11% 720 / 900 = 80% 80/260 = 31% 260 / 1,000 = 26%

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Description: Suppose a team of clinical psychologists develops a test to predict which patients who are treated with opioid painkillers develop aserious problem called Opioid Use Disorder (OUD). Let's suppose that the tests are right 80% of the time both in pred

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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