Question

2 separate questions, please answer all parts. thank you!!

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 46 Negative test result Drug Use Is Not Indicated Subject Uses Drugs Subject is Not a Drug User 32 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? O A. The employer would suffer because the person tested 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 be suspected of using drugs when in reality he or she does not use drugs OC. 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. D. The person tosted would suffer because he or sho would be suspected of using drugs when in realily he or she does not use drugs

Answer 1

Answer - 1: P(False Positive) = P(Positive | Does not use Drug) = 1/(1 + 46) = 0.021

Option D is correct.

Answer - 2: Total orders = 329 + 268 + 249 + 140 + 40 + 50 + 37 + 16 = 1129

Total orders from A = 329 + 40 = 369

Hence,

P(Three orders are from A) = (369/1129)*(368/1128)*(367/1127) = 0.0347