Refer to the sample data for pre-employment drug screening shown below. If one o
ID: 3180799 • Letter: R
Question
Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why?
Pre-Employment Drug Screening Results
Positive test result
Negative test result
Drug Use Is Indicated
Drug Use Is Not Indicated
Subject Uses Drugs
4646
99
Subject Is Not a Drug User
1818
3434
The probability of a false positive test result is?
(Round to three decimal places as needed.)
Who would suffer from a false positive result? Why?
A.
The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs.
B.
The employer would suffer because the person tested would not be suspected of using drugs when in reality he or she does use drugs.
C.
The employer would suffer because the person tested would be suspected of using drugs when in reality he or she does not use drugs.
D.
The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs.
Pre-Employment Drug Screening Results
Copy to Clipboard + Open in Excel +Positive test result
Negative test result
Drug Use Is Indicated
Drug Use Is Not Indicated
Subject Uses Drugs
4646
99
Subject Is Not a Drug User
1818
3434
Explanation / Answer
Total number of subjects = 4646 + 99 + 1818 + 3434 = 9997
P(False positive test result)
= 1818 / 9997
= 0.182
In this case,
The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs.
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