In: Statistics and Probability
ATCs are required to undergo periodic random drug testing.
A simple, low-cost urine test is used for initial screening. It has
been reported that this particular test has a sensitivity and
specificity of 0.96 and 0.93. This means that if there is drug use,
the test will detect it 96% of the time. If there is no drug use,
the test will be negative 93% of the time.
Based on historical results, the FAA reports that the probability of drug use at a given time is approximately 0.007 (this is called the prevalence of drug use).
P( drug used ) = 0.007 ; P( drug not used ) = 1 - 0.007 = 0.993
P( Test positive | drug used ) = 0.96 ; P( Test negative | drug used ) = 1 - 0.96 = 0.04
P( Test negative | drug not used ) = 0.93 ; P( Test positive | drug not used ) = 1 - 0.93 = 0.07
From the given information we can draw the tree diagram as follows
1) A positive test result puts the air traffic controller’s job in jeopardy. What is the probability of a positive test result?
P ( test is positive ) = P( drug used ) * P( Test positive | drug used ) + P( drug not used ) * P( Test positive | drug not used )
= ( 0.007* 0.96 ) + ( 0.993*0.07 )
= 0.0762
2) Find the probability an air traffic control truly used drugs, given that the test is positive.
P( drug used | test positive )
=
= ( 0.007* 0.96 ) / 0.0762
= 0.0882