M
M. Strobel
Am 11.01.2012 02:44, schrieb Kaz Kylheku:
My simulation shows that by switching your total chance to win
the car is 1/2 or probability 0.5
I think this is true, due to the fact that by switching you might
go off the car choice.
/Str
I think you an easily solve this by a simple division into cases,
and simple probabilities.
Look Ma, no conditional probability, no Bayes' theorem.
Suppose Monty always reveals the goat. (This builds suspense in the
audience and is good for the show's ratings, which are more important
than whether or not cars are given away.)
There are two cases:
Case 1: (p = 2/3) You picked the goat.
Monty knows that this case is occurring, and reveals to you the other goat! So
you must switch to get the car, and by switching the car is guaranteed.
Case 2: (p = 1/3) You picked the car.
In this case, you must not switch; you're already on the car.
Of course Monty reveals a goat in this case also.
Now you don't know which of these cases you are in. But you do know
that one of these cases requires switching and the other requires
staying and that the one that requires switching occurs with p = 2/3, and the
one that requires staying occurs with p = 1/3.
This essentially translates to "the probability that you must switch in order
to win the car is 2/3", and that translates to "the probability that
the car is behind the door you did not pick in round 1 is 2/3".
If you do not switch, you are betting on being in Case 2, which is p = 1/3: the
same odds as a one-round draw.
If you switch, you are betting that you are in Case 1, where you have p = 2/3
odds, an improvement.
Switching: no brainer.
My simulation shows that by switching your total chance to win
the car is 1/2 or probability 0.5
I think this is true, due to the fact that by switching you might
go off the car choice.
/Str