Test shows drug use | Test shows no drug use | Total | |
Subject uses drugs | 90 | 4,995 | 5,085 |
Subject does not use drugs | 10 | 94,905 | 94,915 |
Total | 100 | 99,900 | 100,000 |
Determine the probabilities, based on the table:
A) Selecting a person that does not use drugs or the test shows no drug use
B) Selecting a person that uses drugs and the test shows drug use
C) Selecting a person that does not use drugs, given that the test shows no drug use
D) Selecting a person that does not use drugs, given that the test shows drug use
E) Selecting a person that obtained a positive test result (test shows drug use), given that the person does not use drugs
Using above table we find the following probabilities,
a) P(Subject does not use drugs or test shows no drug use)
= (94915/100000) + (99900/100000) - (94905/100000)
= (94915 + 99900 - 94905)/100000
= 99910/100000
= 0.9991
Therefore, required probability is 0.9991
b) P(Subject uses drug and Test shows drug use)
= 90/100000
= 0.0009
Therefore, required probability is 0.0009
c) P(Subject does not use drugs | Test shows no drug use)
= 94905/99900
= 0.95
Therefore, required probability is 0.95
d) P(Subject does not use drugs | Test shows drug use)
= 10/100
= 0.1
Therefore, required probability is 0.1
e) P(Test shows drug use | Subject does not use drugs)
= 10/94915
= 0.00010536
Therefore, required probability is 0.0001
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