lavinia said:
I understood the original game after watching the show.
But I thought that a different game was being asked and was not clear what it was exactly. But it seemed to require that Monty pick a door at random rather than a door he knew was a goat. So what then is the game?
One possibility is that if he randomly picks the car then he just gives it to the contestant. In this game the contestant has a two thirds chance of getting the car if he abandons his original door. This just because 2/3 of the time the first door he chose was the wrong door.
Another game would be to try again if Monty picks the car so one ends up with the original game and the probability is still 2/3.
A third game is the Monty doesn't reveal the door in which case the probability of getting the car is 1/3 whether the contestant switches or not.
Maybe the question was what if Monty doesn't reveal the door but by chance always selects a goat.
This seems to be the same as asking what the distribution is of a finite sequence of plays of the original game and this depends on the number of plays. The more plays the more tight the distribution is around its expected value of 2/3. But this didn't seem right either.
So all of this confused me and I thought I didn't understand what the question was.
If we label the doors ##C## for the contestant's first choice, ##M## for the door Monty opens and ##R## for the remaining door, then we have two games:
1) The actual game show. Here the probabilities for the location of the car are:
##C = 1/3,\ M = 0, \ R = 2/3##
In the game show Monty never reveals the car because he knows where it is.
2) Then there is the alternative "fall" game where Monty opens a door at random. Here the probabilities are:
##C = 1/3, \ M = 1/3, \ R = 1/3##
In which case, we have the two conditional cases.
2a) If Monty reveals the car, the probabilities change to:
##C = 0, \ M = 1, \ R = 0##.
2b) If Monty does not reveal the car:
##C = 1/2, \ M = 0, \ R = 1/2##
These can easily be checked by a computer simulation if need be.