table 4-1, \"Pre-Employment Drug Screening Results,\" 90 divided by 134 (.672 or
ID: 3203328 • Letter: T
Question
table 4-1, "Pre-Employment Drug Screening Results," 90 divided by 134 (.672 or 67.2%) is the likelihood of testing positive and the person is not a drug user (false positive). What are the implications for a non-drug user undergoing a pre-employment drug screening test?y a positive result (indicating that test correctly indicates that a condition is the condition is present). present when it really is present. Negative predictive value Probability True negative Correct result in which the that the subject a true negative, given is test correctly indicates that a condition is that the test yields a negative result (indi- not present when it really is not present. cating that the condition is not present). Prevalence Proportion of subjects having some condition. Table 4-1 Pre-Employment Drug Screening Results Positive Test Result Negative Test Result (Drug Use Is Indicated) (Drug Use Is Not Indicated) Subject Uses Drugs (True Positive) (False Negative) Subject Is Not a Drug User 860 (False Positive) 153
Explanation / Answer
What are the implications for a non-drug user undergoing a pre-employment drug screening test?
The probability of a false positive for a non-drug user
= 90/(90+860)
= 0.0947
Although this probability is very low, the implications can be considerable. A promising employee can be denied employment on the basis of a false positive. It can also be a cause of harassment of the non-drug user. There can also be legal implications for the firm conducting the drug test.
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