What is the probability of drawing cards from a deck?

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Discussion Overview

The discussion revolves around calculating probabilities related to drawing cards from a standard deck. Participants explore various methods for determining the likelihood of specific hands, such as drawing a 21 (an ace and a ten-valued card) and other combinations of cards. The conversation includes both theoretical considerations and practical applications for algorithm development.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes that the probability of drawing a 21 can be calculated as 2*(4/52)*(16/51) and questions whether the factorial should be included in the equation.
  • Another participant suggests that the initial calculation miscounts the probabilities and provides an alternative approach using a probability tree.
  • There is a discussion about whether a generic formula exists for calculating probabilities of drawing specific card combinations, with some participants affirming that such a formula can be derived using binomial coefficients.
  • Concerns are raised about the correctness of various counting methods, with participants challenging each other's reasoning and calculations without reaching a consensus on the best approach.
  • One participant emphasizes the importance of considering the number of different orderings of cards when calculating probabilities, suggesting the use of multinomial coefficients.

Areas of Agreement / Disagreement

Participants express differing views on the correctness of various probability calculations and methods. There is no consensus on a single correct approach, and multiple competing views remain throughout the discussion.

Contextual Notes

Some calculations presented are noted to potentially contain errors, such as a factor of ten discrepancy. The discussion also highlights the complexity of deriving general formulas for card probabilities, indicating that assumptions about card order and combinations play a significant role.

Who May Find This Useful

This discussion may be of interest to those studying probability theory, card games, or algorithm development related to statistical calculations in games of chance.

Probably
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It's been some time since I studied probability. So, forgive me if this seems like a very simple question to answer, but after trying to wrap my head around it for two days without any success, I'm confident that once I understand it, the rest will become very clear.

Let me start with what I know:

Given a well-shuffled deck, what is the probability that the first hand drawn will be a 21 (an ace and a ten-valued card [T,J,Q,K])?

I know that drawing an ace will occur (4/52) and a ten will occur (16/51). Since the ten could have been drawn first, the probability is 2*(4/52)*(16/51) = 0.4827.

First question: Technically, should the equation be written as 2! * (4/52) * (16/51) = 0.4827 (note the factorial)?

Secondly, is there a generic form that allows me to calculate the probability of drawing cards? For example, drawing three 5s? Three aces and a four?

Am I correct for three 5s to write (4/52)*(3/51)*(2/50)*3! and (4/52)*(3/51)*(2/50)*(4/49)*4! for the three aces and a four?

I'm trying to write an algorithm to gather probabilities of drawing cards. I was surprised at being able to solve a subset sum problem earlier yet these basic probability problems elude me. :-/

Thank you!
 
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I think you miscounted:

There is a 4/52 chance of an ace in the first draw and a 16/51 of a 10-value on the second.

There is a 48/52 chance you didn't draw an ace first time ...
in which event, there is a 16/48 chance of a 10-value first and a 4/51 chance of an ace the second time.

Spot the difference.

afaik: there s no generic form apart from the kind of reasoning you just used.
 
Probably said:
It's been some time since I studied probability. So, forgive me if this seems like a very simple question to answer, but after trying to wrap my head around it for two days without any success, I'm confident that once I understand it, the rest will become very clear.

Let me start with what I know:

Given a well-shuffled deck, what is the probability that the first hand drawn will be a 21 (an ace and a ten-valued card [T,J,Q,K])?

I know that drawing an ace will occur (4/52) and a ten will occur (16/51). Since the ten could have been drawn first, the probability is 2*(4/52)*(16/51) = 0.4827.

First question: Technically, should the equation be written as 2! * (4/52) * (16/51) = 0.4827 (note the factorial)?

Secondly, is there a generic form that allows me to calculate the probability of drawing cards? For example, drawing three 5s? Three aces and a four?

Am I correct for three 5s to write (4/52)*(3/51)*(2/50)*3! and (4/52)*(3/51)*(2/50)*(4/49)*4! for the three aces and a four?

I'm trying to write an algorithm to gather probabilities of drawing cards. I was surprised at being able to solve a subset sum problem earlier yet these basic probability problems elude me. :-/

Thank you!
I would think of the first problem as drawing anyone of four (4 C 1), and anyone of a different 16 (16 C 1), compared with all the ways of drawing 2 from 52 (52 C 2). That gives 4*16*2/52*51 = approx .048. (You appear to have a factor of 10 error.)
But there are often many valid ways of approaching these problems.
(Simon, I think your way is not valid.)
For your more complicated example, (4 C 3)*(4 C 3)*(4 C 1)/(52 C 7). I leave you to check whether that's the same as you got.
 
(Simon, I think your way is not valid.)
So see if you can fault the reasoning ;)

I just constructed the probability tree ... here's the numbers:

(4/52)*(16/51)+(16/48)*(48/52)*(4/51) = 0.048265
 
Simon Bridge said:
So see if you can fault the reasoning ;)

I just constructed the probability tree ... here's the numbers:

(4/52)*(16/51)+(16/48)*(48/52)*(4/51) = 0.048265

OK, I misunderstood. You said denjay had miscounted, so I assumed you had arrived at a different number. Apart from the factor of 10 error, denjay's answer was correct.
 
Fair enough. denjay said: 2*(4/52)*(16/51) = 0.4827 with the "2*" in there because "the ten could have been drawn first"... i.e. two different ways of getting the result.

mine was (4/52)(16/51)+(4/51)(16/52)
as it happened ... this this is the same calculation but (possibly) arrived at by counting in a different way. I had not computed the number - so missed the factor of ten - I was commenting on the reasoning. It could have been that OP was aware of the difference though and had just missed out a step ;)
 
Probably said:
First question: Technically, should the equation be written as 2! * (4/52) * (16/51) ?
Yes, that is one way the write it, and you have arrived at the result in a way that is easy to generalize.
Secondly, is there a generic form that allows me to calculate the probability of drawing cards? For example, drawing three 5s? Three aces and a four?
Yes, for example the following will encompass all of your three examples:

Assume we have a deck of N cards, with ni of the cards labelled with the integer i, where i=1,2,3,...,a, and Ʃni=N. If we draw r cards at random, what is the probability of getting exactly ri labelled i, for i=1,2,...,a, and Ʃri=r?

If we simply count the number of desired possibilites, divided by all possibilities, we arrive at the following fomula involving binomial coefficients:

Probability = (n1 r1)(n2 r2)...(na ra)/(N r)
Am I correct for three 5s to write (4/52)*(3/51)*(2/50)*3! and (4/52)*(3/51)*(2/50)*(4/49)*4! for the three aces and a four?
In the first case you should not multiply with 3!, and in the second case you should multiply with 4 instead of 4!. The moral is to multiply with the number of different orderings of your cards, ignoring suits. In general, this is a multinomial coefficient. Your counting strategy, including a multinomial coefficient, can also be used in full generality to arrive at the formula given above.
 

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