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Refer to the sample data for pre-employment drug screening shown below. If one o

ID: 2924707 • 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 Drug Use is Indicated 42 19 Negative test result Drug Use Is Not Indicated Subject Uses Drugs Subject ls Not a Drug User 28 The probability of a false positive test resulis (Round to three decimal places as needed.)

Explanation / Answer

Number of subjects who are not drug users but have tested positive = 19

Total number of subjects = 42 + 9 + 19 + 28 = 98

=> Probability of a false positive subject = 19 / 98 = 0.1939.

Naturally a subject who is not a drug user will suffer from false positive result as the result will indicate him/her as a drug user.

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