Suppose we assume that 5% of people are drug users. If a person is a drug user, the result of the test is positive 95% of the time, and if the person is not a drug user, the result is negative 90% of the time. A person is randomly selected. What is the probability that he tests positive for drugs?
Solution:
Suppose we have 10000 people in total.
The number of drug users are
The positive result for drug users are
The number of non-drug users are
The negative results for non-drug users are
The above information can be put in the below table as:
Positive | Negative | Total | |
Drug User | 475 | 25 | 500 |
Non-drug User | 950 | 8550 | 9500 |
Total | 1425 | 8575 | 10000 |
Therefore, the probability that a randomly selected person tests positive for drugs is:
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