This Question: 1 pt 9 of 20 (5 complete) 1 This Test: 20 pts possible Question H

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This Question: 1 pt 9 of 20 (5 complete) 1 This Test: 20 pts possible Question Help 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 Drug Use ls Indicated 46 20 Negative test result Drug Use Is Not Indicated 14 31 Subject Uses Drugs Subject Is Not a Drug User 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? 0 A. 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 O 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 0 D. 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 Click to select your answer(s)

Explanation / Answer

Total sample size here is: = 46 + 14 + 20 + 31 = 111

The probability of a false positive test is the probability that the test is positive given the subject is not a drug user which is computed as:

= 20 / 111

= 0.180

Therefore 0.180 is the required probability here.

The person here in a false positive test would be suspected of using drugs when in reality he or she does not. Therefore it is the person who would suffer here.

Therefore D is the correct answer here.

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