My solutions to 3 probability problems:
- Let’ Make a Deal
- 3rd child a boy?
- Original Ace in the hat
The Let’s Make a Deal problem is amazing since it seems to confuse so many (including myself) while eliciting such vehement responses!
I think I’ve finally convinced myself of the right answer (FLW)*. 3 doors, 2 goats, 1 car. The rules of the game I will adhere to are (discussions of what the correct rules are notwithstanding): You choose 1 door originally, Monte opens another door which always has a goat behind it, Monte asks if you want to switch. As has been stated several times in this forum (and others), not switching will result in losing (not getting the car) 1/3 of the time, no matter what Monte does. So does this mean that switching wins 2/3 of the time? Maybe. The question is, does switching change the probabiities? Note that, if Monte doesn’t do anything, then switching will also fail 2/3 of the time (wins 1/3 of the time). The key is in the fact that your choice affects Monte’s choice, so in a handwavy way, yes, the probabilites do change. So consider the possibilites. If you initially choose the door with the car, which happens 1/3 of the time, Monte has 2 choices for the other doors. Switching clearly loses. If you choose a goat-door first (happens 2/3 of the time), Monte has only 1 choice (the remaining goat-door). In this 2/3-of-the-time case, the remaining door (i.e., the one not originally selected by you or Monte) has the car, so switching wins. So 2/3 of the time switching wins and 1/3 of the time it loses.
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Chances that 2nd kid is a boy: A person says they have 2 kids (odds of having a boy or girl are 50/50). They then show you that one of them is a girl. Given the odds of boy vs. girl in any independent birth, most people would say the chances of the 2nd kid being a boy is 1/2. But this doesn’t take into account that the order of the births comes into play since the parent reveals them in order. Thus, girl-boy is a separate outcome from boy-girl. They count as separate outcomes even though they have the same “mix”. As is usual in probability calculations, the sample (aka possible outcome) space is constructed and then the proportion of cases which fit the final outcome are tallied. In this case the sample space before any kid is revealed is girl-girl, girl-boy, boy-girl and boy-boy. There is a 1/4 chance of any one of these distinct outcomes to occur. Now when the girl is revealed, the sample space reduces to girl-girl, girl-boy and boy-girl. The problem then becomes one of a conditional probability. Note that for the second and third outcomes, the parent could have chosen the girl first to present, so by doing so, they haven’t revealed that we are now dealing only with the 3 outcomes the girl belongs to. Now the chances of the 2nd kid being a boy is 2/3 based on the new sample space.
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Chances of the card pulled out of the hat was the original Ace = 1/3: A card is put into a hat that has an equal probabilty of being an Ace or a King. An new Ace is then put into the hat (2 cards are now in the hat). One card is now withdrawn. What are the chances it is the original Ace?
Let A0 = original Ace, An = new Ace and K = King
Again, thinking of sample spaces helps. The samples after An is put in the hat and shuffled are
- A0 + An
- An + A0
- K + An
- An + K.
The notation indicates that the order of the cards counts since, just to fix the procedure, we will always select the 2nd (unknown) card in the possible pairs (it could always be the first, it doesn’t matter).
If we pick a card out of the hat and find it is an Ace (we now have a conditional probability), then there are only 3 samples that could have produced this outcome (the 2nd card) and only one outcome of these is the original Ace, so picking it has a chance of 1/3.