User talk:Nijdam/Discussion

Discussion on the Monty Hall problem.

The MHP

  1. A player stands in front of three closed doors. behind one of them is a car, behind the others goats.
  2. The player may choose a door and have what's behind it.
  3. From this setting ordinary people conclude that the car is placed randomly. Call C the door with the car: P(C=c)=1/3.
  4. And furthermore that the player is completely unaware of the position of the car. Call X the chosen door: C and X are statistically independent (of each other).
  5. Suppose the player chooses door x; as typical example take x=1.
  6. What is the probability the chosen door hides the car?
  7. This is a tricky question: many people will think it is the probability the car is behind door 1: P(C=1)=1/3.
  8. The actual meaning must be:P(C=1|X=1), accounting for the event X=1.
  9. Due to the independency: P(C=1|X=1)=P(C=1)=1/3.
  10. Before the chosen door is opened, the host opens one of the two other doors, and exhibits a goat. Call H the opened door.
  11. Strategy of the host: always opens one of the remaining doors, always showing a goat.P(H=x}X=x)=0; P(H=c|C=c)=0.
  12. As an example take H=3.
  13. The player is offered to switch to the other closed door.
  14. The player now sees only two closed doors, between she has to choose.
  15. At this point many people think the odds are equal.
  16. The player has to base her decision on the probability in this situation the car is behind door 1 (or door 2).
  17. This probability is: P(C=1|X=1,H=3)
  18. To find the numerical value of this probability we need info about what the host will do when he has to choose between two doors with a goat.
  19. It seems likely the host then chooses randomly: P(H=2|X=1,C=1)=P(H=3|X=1,C=1), etc.
  20. Then with Bayes' formula or using arguments of symmetry, it follows: P(C=1|X=1,H=3)=1/3.
  21. This is the same value as the unconditional probability.