Conditional Probability and Drawing Cards

AI Thread Summary
The discussion revolves around calculating the conditional probability that, after dealing cards, all three remaining cards of a specified suit are held by one player (either E or W), given that players N and S have ten cards of that suit. The correct probability is established as 0.22, derived from the formula involving combinations. Participants clarify the reasoning behind the solution, emphasizing the importance of considering the remaining cards after N and S have received theirs. The conversation highlights the need for careful step-by-step calculations to avoid confusion and incorrect probabilities. Overall, the thread serves as a collaborative effort to understand and validate the probability calculation in a card game scenario.
Sizwe
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Homework Statement



A standard deck of 52 cards of 4 suits, each with 13 denominations, is well shuffled and dealt out to four players, N, S, E and W, who each receive 13 cards. If N and S have exactly ten cards of a specified suit between them, show that the probability that three remaining cards of the suit are in one player's hand (either E or W) is 0.22

Homework Equations



P(A | B) = \frac{P(A \cap B)}{P(B)}

The Attempt at a Solution



I completed this question a few months ago with the solution:

\frac{2\binom{23}{10}}{\binom{26}{13}\binom{13}{13}} = 0.22

Problem is, I have no idea how I got to that solution. I try now but end up with probabilities greater than 1, or very very small probabilities. Some clarification on how I got my solution, or how anyone would solve this, would be appreciated :)
 
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Sizwe said:

Homework Statement



A standard deck of 52 cards of 4 suits, each with 13 denominations, is well shuffled and dealt out to four players, N, S, E and W, who each receive 13 cards. If N and S have exactly ten cards of a specified suit between them, show that the probability that three remaining cards of the suit are in one player's hand (either E or W) is 0.22

Homework Equations



P(A | B) = \frac{P(A \cap B)}{P(B)}

The Attempt at a Solution



I completed this question a few months ago with the solution:

\frac{2\binom{23}{10}}{\binom{26}{13}\binom{13}{13}} = 0.22

Problem is, I have no idea how I got to that solution. I try now but end up with probabilities greater than 1, or very very small probabilities. Some clarification on how I got my solution, or how anyone would solve this, would be appreciated :)

Once N and S have their cards, there are 26 cards left for E and W, 3 of which are of the particular suit. For E to get all three, he must choose 3 from those 3 then 10 more from the remaining 23. Does that help?
 
LCKurtz said:
Once N and S have their cards, there are 26 cards left for E and W, 3 of which are of the particular suit. For E to get all three, he must choose 3 from those 3 then 10 more from the remaining 23. Does that help?

Your formula is weird. It looks wrong, but happens by accident to deliver a correct result---essentially because some of the factors or divisors are 1.0, and so do not affect anything. I suggest you try to use a formula similar to yours on the problem of computing the probability that E gets 2 of the "special" cards (instead of 3). Then you really will see a difference between your formula and the correct one.

RGV
 
LCKurtz said:
Once N and S have their cards, there are 26 cards left for E and W, 3 of which are of the particular suit. For E to get all three, he must choose 3 from those 3 then 10 more from the remaining 23. Does that help?

Yes :) Thank you! I see it now as give N and S their cards including ten from the suit. Then give the three remaining to either E or W (hence I mutliply by 2), then all that remains is for E or W to choose 10 cards from the 23 left over. Any other choices made cancel through division of the number of ways N and S can get 10 of a suit between them (the denominator). I think the lesson learned here is to show all my steps :P

Thanks again guys :)
 
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