What is the fundamental concept behind counting in probability of poker hands?

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In summary, the conversation discusses the probabilities for various 5 card poker hands, specifically two pairs and three of a kind. The speaker struggles with understanding the concept of counting in relation to these probabilities. The conversation also delves into the idea of math being a tautology and the applicability of mathematical principles in real-world scenarios.
  • #1
caffeine
I'm trying to figure out the probabilities for various 5 card poker hands, and I'm not having a very good time of it.
Consider "two pairs".

For the 1st pair, there are [itex]\binom{13}{1}[/itex] choices for denomination. Out of that, there are [itex]\binom{4}{2}[/itex] choices for suit.

For the second pair, there are [itex]\binom{12}{1}[/itex] choices for denomination (not 13, otherwise it'd be "4 of a kind"). And again, there are [itex]\binom{4}{2}[/itex] choices for suit.

For the last card, there are [itex]\binom{11}{1}[/itex] choices for denomination and [itex]\binom{4}{1}[/itex] choices for suit.

There's a grand total of [itex]\binom{52}{5}[/itex] things that can happen for 5 draws from 52 cards. So the probability for 2 pair should be:

[tex]
\frac{\binom{13}{1}\binom{4}{2}\binom{12}{1}\binom{4}{2}\binom{11}{1}\binom{4}{1}}
{\binom{52}{5}}
[/tex]

which works out to be .095. A book I have says that two pair should be .048.As another example, consider 3 of a kind.

There are [itex]\binom{13}{1}[/itex] choices for denomination of the "3 of a kind", and [itex]\binom{4}{3}[/itex] choices for suit.

Now there are 2 cards left, and 12 denominations. So there are [itex]\binom{12}{2}[/itex] ways of choosing a denomination for the two single cards, and each card can have any of [itex]\binom{4}{1}[/itex] suits. So the probability for 3 of a kind should be:

[tex]
\frac
{\binom{13}{1}\binom{4}{3}\binom{12}{2}\binom{4}{1}}
{\binom{52}{5}}
[/tex]

which works out to be .0079. The book says .021.

At this point, I'm ready to admit there's a huge conceptual flaw in my head. There's something fundamental about counting that I'm just not "getting". Can someone please help clear my conceptual misunderstanding about counting?

Many thanks!
 
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  • #2
The way you went about finding it out for 2 pair, you made the order of the pairs matter, i.e. you counted two 5's and two 9's as a separate hand from two 9's and two 5's. A hand of two pairs consists of 3 denominations, so do 13C3 first. Then, of those three denominations, two of them are paired, so do 3C2. Finally, choose the suits.
 
  • #3
On the second one you can break it down to:
[tex]\frac{\binom{13}{1}\binom{4}{3}\binom{12}{1}\binom{4}{1}\binom{11}{1}\binom{4}{1}}{2*\binom{52}{5}}[/tex]
You have to divide by two because there's two ways to order the two single cards (similar to the first one in this aspect).
 
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  • #4
caffeine said:
[tex]
\frac
{\binom{13}{1}\binom{4}{3}\binom{12}{2}\binom{4}{1}}
{\binom{52}{5}}
[/tex]

which works out to be .0079. The book says .021.

For your expression, I get something closer to 0.00528.., which is roughly a fourth of the books answer. This missing factor of 4 comes in your last two cards, there are [itex]\binom{12}{2}[/itex] choices for the denominations as you say, but [itex]\binom{4}{1}[/itex] choices for each of these two cards suits, so you need another [itex]\binom{4}{1}[/itex] factor.
 
  • #5
Often times, counting just requires a good way to describe the objects being counted.

Let's consider how you tried to do two pair, but rephrase it from this perspective:

You have described a two pair as:
(1) A choice for the denomination of the first pair
(2) A choice of the two suits in the first pair
(3) A choice of the denomination for the second pair
(4) A choice of the two suits in the second pair
(5) A choice of the denomination for the last card.
(6) A choice of the suit for the last card.

Now you ask yourself:
(A) Can every two-pair be described this way?
(B) Is every such description a different hand?

The answer to (A) is, of course, yes. The answer to (B) is no, so this is no good! However, it can be salvaged by asking yourself how many times is each hand counted? In this case, every two-pair is counted exactly twice, so you simply have to divide the result by 2.

Of course, you could come up with a slightly different description that counts each two-pair exactly once.
 
  • #7
Is math a tautology?

Poincare':The syllogism can teach us nothing essentially new,
and, if everything is to spring from the principle of identity, everything
should be capable of being reduced to it. Shall we then admit that the
enunciations of all those theorems which fill so many volumes are nothing
but devious ways of saying A is A?"
http://www.cs.nyu.edu/pipermail/fom/1999-February/002636.html

Not the case in poker hands because we model this from the real world.
 
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  • #8
This thread seems to be so old. But the topic is useful to those poker hopefuls who want to win. This may help a bit. After all, theories exist first before application.
 

What is the probability of getting a royal flush in poker?

The probability of getting a royal flush, which is the highest hand in poker, is 1 in 649,740. This means that in a standard deck of 52 cards, there are only 4 possible royal flush combinations: one for each suit (spades, hearts, diamonds, and clubs).

What is the probability of getting a straight flush in poker?

The probability of getting a straight flush, which is the second highest hand in poker, is 1 in 72,193. This means that in a standard deck of 52 cards, there are 10 possible straight flush combinations for each suit. For example, in a 5-card hand, there are 10 possible ways to make a straight flush: A-2-3-4-5, 2-3-4-5-6, 3-4-5-6-7, 4-5-6-7-8, 5-6-7-8-9, 6-7-8-9-10, 7-8-9-10-J, 8-9-10-J-Q, 9-10-J-Q-K, and 10-J-Q-K-A.

What is the probability of getting four of a kind in poker?

The probability of getting four of a kind, which is the third highest hand in poker, is 1 in 4,164. This means that in a standard deck of 52 cards, there are 13 possible four of a kind combinations (one for each rank). For example, four aces, four kings, four queens, etc.

What is the probability of getting a full house in poker?

The probability of getting a full house, which is the fourth highest hand in poker, is 1 in 693. This means that in a standard deck of 52 cards, there are 156 possible full house combinations. To make a full house, a player must have a three of a kind (three cards of the same rank) and a pair (two cards of the same rank).

What is the probability of getting a flush in poker?

The probability of getting a flush, which is the fifth highest hand in poker, is 1 in 508. This means that in a standard deck of 52 cards, there are 1,980 possible flush combinations. A flush is made up of five cards of the same suit, but not in sequential order.

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