Answer using Bayes
Alex Y
I agreed with David's answer, but said I had approached it from a different angle.
When you have a conditional probability P(A|B), which means "the probability of A, knowing that B is true), Bayes gives us a calculation method that MAY be easier. In this case, it is easier for Hands 2 and 3, but maybe harder for Hand 1.
Bayes says P(A|B) = P(A) * (P(B|A)/P(B)).
When I learned that in school, I thought "What's the point, you still have a conditional probability?" Hand 2 gives a good illustration of when this can be useful. In hand 2,
A = Hand contains four aces
B = Last card dealt to Betty is Ace of Spades.
P(A) = C(48,9)/C(52,13), i.e., the total number of ways to choose 9 cards from the 48 non-aces to go along with the four aces, divided by the total number of ways to choose 13 cards from the 52-card deck. Note that P(A) is the same for all three cases, so we can just treat it as an uncalculated constant in determining the relative probabilities of the three cases.
P(B|A) = 1/13. IF she has all four aces (condition A), then she has the Ace of Spades, and there is a 1/13 chance that it is the last of the cards dealt to her.
P(B) = 1/52. This is the probability that the ace of spades was the last card dealt to Betty, with no assumption about whether she has the aces. The last card dealt to her is as likely to be the Ace of Spades as any other card.
P(B|A)/P(B) = (1/13)/(1/52) = 4, so discovering that the last card dealt to her was the Ace of Spades increased the probability that she has all four aces fourfold!.
The conditional probabilities P(B|A) are trivial for hands 1 and 3, equal to 1/4 and 1, respectively.
P(B) is easy for hand 3, once you realize it is 1 minus the probability that she has 13 non-aces. P(B) is harder for Hand 1, making me think it might be easier to solve the original conditional probability without Bayes, if you didn't get David's insight on the equivalence of the information available in Hands 1 and 3.
I'll stop here, since this sounds a lot more like a solution to a problem in a probability course than a puzzle!