1. Not finding help here? Sign up for a free 30min tutor trial with Chegg Tutors
    Dismiss Notice
Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Bayes' Rule - Car and Goats

  1. Oct 3, 2016 #1
    1. The problem statement, all variables and given/known data

    Suppose you’re on a game show and you’re given the choice of three doors. Behind one is a car, behind the others are goats. You pick a door, say number 1, and the host, who knows what’s behind the doors, opens another door, say number 3 which has a goat. He says to you, “Do you want to pick door number 2?” Is it to your advantage to switch your choice of doors?”

    Use the General Case of Bayes’ Rule to demonstrate mathematically the 2/3 probability of getting the car by switching. Assume for sure that the contestant picked Door 1, that the game show host reveals Door 3 (M3), and you are going to let the car vary between the three doors as Ci where i = {1, 2, 3}. You can now calculate P(C2|M3), that is, the probability of winning the car given that the host reveals Door 3 and you switch to Door 2.

    2. Relevant equations
    General Case of Bayes Rule
    upload_2016-10-3_18-19-4.png

    3. The attempt at a solution
    upload_2016-10-3_18-16-18.png
    I started by changing the variables to match the problem. But I am not sure where to go from here.

    I know that P(M3|C2) means "Probability of Door 3, given Door 2". So for those two I figure that it breaks down to a 1/2 probability. But I feel kind of stuck on which values are equal to what.
     

    Attached Files:

  2. jcsd
  3. Oct 3, 2016 #2

    andrewkirk

    User Avatar
    Science Advisor
    Homework Helper
    Gold Member

    First you need to correct your formula under section 3. You have a sum over ##i##, but ##i## does not appear in the summand. Also, I suggest using ##j## instead, as this platform always auto-corrects ##i## to upper case.

    ##P(M_3|C_j)## is the probability that Monty Hall (the host) will open door 3, given that the car is behind door ##j##, and that you have picked door 1. Your original choice of door 1 is taken as a constant rather than a random event, in order to avoid double-barrelled conditionalities. We can achieve that by deferring the numbering of doors until after your original choice is made, and then numbering them so that yours is number 1.

    You need to bear in mind that Monty will neither open a door you have picked, nor a door with a car behind it. Given that, what is ##P(M_3|C_j)## for each of ##j=1,2,3##, and what is each ##C_j##?
     
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook

Have something to add?
Draft saved Draft deleted



Similar Discussions: Bayes' Rule - Car and Goats
  1. Bayes' Theorem Problem (Replies: 2)

Loading...