Refer to the sample data for​ pre-employment drug screening shown below.

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?

 

Subject uses drugs

42 (Drug Use Indicated)(Positive Test Result)

10 (Drug Use Not Indicated)(Negative Test Result)

 

Subject is Not a Drug User

20 (Drug Use Indicated)(Positive Test Result)

35 (Drug Use Not Indicated)(Negative Test Result)

Answer 1

The grand total is 42 + 10 + 20 + 35 = 107

 

20/107 = .18692 = 18.692%

 

Well, if they're clean and a victim of a false positive,

then they must face the consequences of testing positive

even though they are completely innocent.

 

They will not get the job, lose their job, or whatever

consequences may be for testing positive, but they don't

deserve the punishment.

 

#-(