A person who lives in LA makes trips to D.C.; 40% of the time she goes on airline #1, 20% of the time on airline #2, and 40% of the time on airline #3. For airline #1, flights are late into D.C. 35% of the time and late into L.A. 20% of the time. For airline #2, these percentages are 40% and 15%, whereas for airline #3 the percentages are 35% and 30%. If we learn that on a particular trip she arrived late at exactly one of the two destinations, what are the posterior probabilities of having flown on airlines #1, #2, and #3? Assume that the chance of a late arrival in L.A. is unaffected by what happens on the flight to D.C. Hint: From the tip of each first-generation branch on a tree diagram, draw three second-generation branches labeled, respectively, 0 late, 1 late, and 2 late. Round your answers to four decimal places. #1 airline #1 airline #2 airline #3
a | b | a*b | ab/Σab | |
x | P(x) | P(late on 1d |x) | P(x and late on 1d) | P(x|late on 1d) |
airline #1 | 0.4 | 0.4100 | 0.1640 | 0.3850 |
airline #2 | 0.2 | 0.4300 | 0.0860 | 0.2019 |
airline #3 | 0.4 | 0.4400 | 0.1760 | 0.4131 |
Σab = | 0.4260 |
P(airline #1 given late on 1 d)=P(airline #1 given late on 1 d)/P(late on 1d)=0.3850 | ||||||
P(airline #2 given late on 1 d)=P(airline #2 given late on 1 d)/P(late on 1d)=0.2019 | ||||||
P(airline #3 given late on 1 d)=P(airline #3 given late on 1 d)/P(late on 1d)=0.4131 |
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