Olympic athletes have to undergo anti-doping tests to verify that they did not use performance enhancing drugs during the competition.
Use this information to calculate the probability that an Olympic sprinter who tests positive has actually used performance enhancing drugs. For this exercise, define the following events:
P(T+) = 0.9%
P(T-) = 1 - 0.9% = 99.1%
The truth probability table for this scenario is shown below:
Tests +ve | Tests -ve | |
Used Drugs | P(TP)=0.4% | P(FN) = 5% |
Didn't use | P(FP) = 0.5% | P(TN)=94.1% |
Total | P(T+): 0.90% | P(T-): 99.1% |
where P(True +ve) is calculated as: P(T+) - P(FP), and True -ve as P(T-) - P(FN)
We need to find P(Used drugs / Tests positive) = P(Used drugs & Test Positive) / P(Test Positive)
= P(TP) / P(T+)
= 0.4%/0.9% = 0.4444 = 44.44%
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