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A friend who lives in Los Angeles makes frequent consulting trips to Washington, D.C.; 50% of...

A friend who lives in Los Angeles makes frequent consulting trips to Washington, D.C.; 50% of the time she travels on airline #1, 20% of the time on airline #2, and the remaining 30% of the time on airline #3. For airline #1, flights are late into D.C. 40% of the time and late into L.A. 25% of the time. For airline #2, these percentages are 20% and 10%, whereas for airline #3 the percentages are 30% and 15%. 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.)

airline #1

airline #2

airline #3

0 0
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Answer #1

nlro uve os given that ab t 0 3 (0 3)00-15) D^@fo-a0(6. 9) t o·st o 4 0 x 0, t( + D.SN016メ0.0( t 0.axo.8 0-10 0383 Piobabi0Pty, that She took ar OPne t coould be atvttnet and latetoDc and ontlme to LA)+ Platinel and tate to LA and ontfmetose divided by p[late Exactlyt dectination- 0 036 t 0 016 0:301350 0 38S 00165+010316 0 385 0, a80s =

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