A false positive would be a positive test result from a subject who is not a drug user. That would be 20 people out of 100, for a probability of 0.2. People who are false positives will end up not being employed because of the false result.
Karla D.
asked 03/17/21probability 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?
Positive Test Result Negative Test Result
Subject Uses Drugs 42 11
Subject Is Not a Drug User 20 27
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