The accompanying table shows data for Allyn and 1,999 other job applicants. Based on those results: a. Find P(false positive); that is, find the probability of randomly selecting one of the subjects who tested positive and getting someone who does not use drugs. b. Find P(false negative); that is, find the probability of randomly selecting someone who tested negative and getting someone who does use drugs. c. Are the probabilities of these wrong results low enough so that job applicants and the Acton Paper Company need not be concerned? Explain your answers. Drug User Non-User Total Positive Test Result 297 Negative Test Result 3 34 1666 Total
The accompanying table shows data for Allyn and 1,999 other job applicants. Based on those results: a. Find P(false positive); that is, find the probability of randomly selecting one of the subjects who tested positive and getting someone who does not use drugs. b. Find P(false negative); that is, find the probability of randomly selecting someone who tested negative and getting someone who does use drugs. c. Are the probabilities of these wrong results low enough so that job applicants and the Acton Paper Company need not be concerned? Explain your answers. Drug User Non-User Total Positive Test Result 297 Negative Test Result 3 34 1666 Total
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:15. According to the American Management Association, most U.S. companies now test at
least some employees and job applicants for drug use. The U.S. National Institute on
Drug Abuse claims that about 15% of people in the 18-25 age bracket use illegal drugs.
Allyn Clark, a 21 year-old college graduate, applied for a job at the Acton Paper
Company, took a drug test, and was not offered a job. He suspected that he might have
failed the drug test, even though he does not use drugs. In checking with the company's
personnel department, he found that the drug test has 99% sensitivity, which means that
only 1% of drug users incorrectly test negative. Also, the test has 98% specificity,
meaning that only 2% of nonusers are incorrectly identified as drug users. Allyn felt
relieved by these figures because he believed that they reflected a very reliable test that
usually provides good results. But is this really true?
The accompanying table shows data for Allyn and 1,999 other job applicants. Based on
those results:
a. Find P(false positive); that is, find the probability of randomly selecting one of the
subjects who tested positive and getting someone who does not use drugs.
b. Find P(false negative); that is, find the probability of randomly selecting someone who
tested negative and getting someone who does use drugs.
c. Are the probabilities of these wrong results low enough so that job applicants and the
Acton Paper Company need not be concerned? Explain your answers.
Drug User Non-User Total
Positive Test Result 297
Negative Test Result 3
34
1666
Total
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