Question Completion Status: QUESTION & Suppose 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 tes to 1,000 people with the partial results shown here. In that case, here is the question: ACTUAL OUD Not OUD Predict OUD 80 TEST RESULT Predict Not OUD 720 100 900 1,000 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)? 80 / 720 = 11% 720 /900 = 80% 80 / 260 = 31% 260 / 1,000 = 26%

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QUESTION 8
Suppose 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 tes
to 1,000 people with the partial results shown here. In that case, here is the question:
ACTUAL
OUD
Not OUD
Predict OUD
08
TEST RESULT
Predict Not OUD
720
100
900
1,000
What is the likelihood (percent of the time) that a person who is prediccted to develop OUD actually does so (that is, he or she actually develops
the OUD)?
80 /720 = 11%
720/900 80%
O 80/260 = 31%
O 260 / 1,000 26%
QUESTION 9
"Chock wo
O UO wreck Yourself!" Good advice-in this case it was said in reference to the importance of doing research that:
Transcribed Image Text:seconds. Question Completion Status: QUESTION 8 Suppose 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 tes to 1,000 people with the partial results shown here. In that case, here is the question: ACTUAL OUD Not OUD Predict OUD 08 TEST RESULT Predict Not OUD 720 100 900 1,000 What is the likelihood (percent of the time) that a person who is prediccted to develop OUD actually does so (that is, he or she actually develops the OUD)? 80 /720 = 11% 720/900 80% O 80/260 = 31% O 260 / 1,000 26% QUESTION 9 "Chock wo O UO wreck Yourself!" Good advice-in this case it was said in reference to the importance of doing research that:
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