padlock said:
In honour of tomorrow's release, here's a little puzzle to get everyone warmed up:
"I was buying some presents for an old friend I hadn't seen in ages whom I was about to visit. I knew that my friend had 2 children, and I remembered that one of them was a boy, but I couldn't remember what the other one was. My good friend, Professor smartypants, who was with me offered some sage advice."
Did Professor smarty pants say:
1. The other child is most likely another boy
2. Chances are the other child is a girl
3. There's a 50/50 chane that the other child is either gender
I still think there's a 50/50 chance ... but I'm not sure. This is very similar to
Bertrand's box problem but with four boxes. I think we can re-word this problem like so. I'm just going to rip off the Wikipedia article because I'm lazy.
There are four boxes:
a box containing two gold coins
a box with two silver coins
a box with one of each
a box with one of each
After choosing a box at random and withdrawing one coin at random, if that happens to be a gold coin, what is the probability that the remaining coin is gold?
There are two arguments.
Probability 1⁄3:
Originally, all four boxes were equally likely to be chosen.
The chosen box cannot be box SS
So it must be from box GG or GS or GS
The three remaining possibilities are equally likely, so the probability the box is GG is 1⁄3.
Probability 1⁄2:
Originally, all eight coins were equally likely to be chosen.
The chosen coin cannot be from drawer S of either box GS, or from either drawer of box SS.
So it must come from the G drawer of either box GS, or either drawer of box GG.
The four remaining possibilities are equally likely, so the probability the drawer is from box is GG is 1/2.
[To clarify, the four possibilities are drawer of box GG, other drawer of box GG, drawer of box GS, drawer of other box GS]
The problem can be shown to be equivalent to asking the question "What is the probability that I will pick a box with coins of the same colour?" This can be easily shown to be a probability of 1/2. When the first coin is shown to be gold, the probability that the second coin must be gold must also be 1/2, because the value of the first coin is independent of the second.
Bertrand's point in constructing this example, was that merely counting cases is not always proper. Instead, one should sum the probabilities that the cases would produce the observed result; and the two methods are equivalent if this probability is either 1 or 0 in every case. This condition is true in the second solution method, but not in the first. The correct way to solve the problem by treating the boxes as the individual cases is:
Originally, all three boxes were equally likely to be chosen.
The probability the GG would produce a gold coin is 1.
The probability the SS would produce a gold coin is 0.
The probability the GS would produce a gold coin is 1⁄2.
The probability the GS would produce a gold coin is 1/2.
So the probability the chosen box is GG is (P(GG) ⁄ [P(GG)+P(SS)+P(GS)+P(GS)]) = (1 ⁄ [1+0+1/2+1/2]) = (1⁄2).
Alternatively, the chosen box has two coins of the same type 1⁄2 of the time. So regardless of what kind of coin is in the chosen drawer, the box has two coins of that type 1⁄2 of the time.