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Use the data in the table below to answer questions 1-5. Leave answers as a simplified fraction.

Use the data in the table below to answer questions 1-5. Leave answers as a simplified-example-1
User Yash Mochi
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a) Assuming one of the subjects is chosen randomly, the probability that the test result is a false positive is 6/23.

b) 6 potential employees will suffer from a false positive result because they do not use drugs but the test results show they do.

A false positive is a result that shows something to be true when it is false.

Pre-Employment Drug Screening Results

Positive Test Result Negative Test Result

(Test shows drug use) (Test does not show)

Subject uses drugs 17 15

Subject does not use drugs 6 84

Total number of subjects who use drugs = 32 (17 + 15)

Total number of subjects who do not use drugs = 90 (6 + 84)

The number of subjects who use drugs with positive results = 17

The number of subjects who do not use drugs with positive results = 6

The number of subjects who use drugs with negative results = 15

The number of subjects who do not use drugs with negative result = 84

The probability that the test result is a false positive = 6/23

User Tobo
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