In: Statistics and Probability
At the O’Hare International Airport (ORD) travelers have to walk
through a metal detector to pass...
At the O’Hare International Airport (ORD) travelers have to walk
through a metal detector to pass through to the departure area. The
security team knows from prior experience that 8% of all of
travelers who walk through it have metal on their person. If
someone who passes through does have metal on them, the
metal detector will go off 92% of the time. If they do not
have metal on them, it will only go off 4% of the time. You are the
TSA agent manning the station, and watch a traveler about to pass
through the metal detector.
- What is the prior probability that the traveler has metal on
their person?
- If this traveler walks through the metal detector and the alarm
sounds, what is the probability that they have metal on them?
(Hint: Use a tree diagram to solve this problem.)
- Consider the Denver International Airport (DIA), where 3.2% of
all of the individuals who walk through it have metal on their
person. Assume the accuracy of the metal detector at DIA is the
same as that of ORD when someone does and doesn’t have metal on
them. Suppose the DIA metal detector sounds an alarm for a
traveler. (You may assume that this traveler is a randomly drawn
person from the population of travelers at DIA.) Do you expect the
probability that they have metal on them to be lower, higher, or
the same as that of the ORD traveler for whom the alarm sounded?
Why?
- Suppose that after the alarm sounds on the ORD
traveler the first time, they refute the result and say they would
like to pass through the metal detector once more. What is the new
prior probability you should use on this second pass for them
having metal on their person?
- The alarm sounds again on this second pass. Should the new
probability of them having metal on their person be lower, higher,
or the same as what you calculated in part (2)?