2 variable binomial distribution?

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Discussion Overview

The discussion revolves around understanding the probability distribution involving two variables, specifically in the context of drawing cards from a deck and calculating the probabilities of obtaining a certain number of queens and aces. The focus is on the transition from binomial to multinomial distributions and the corresponding coefficients.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant expresses difficulty in understanding how to derive binomial coefficients for two variables, specifically for obtaining X queens and Y aces from a deck of cards.
  • Another participant suggests that the problem is better suited for a multinomial distribution and discusses the algebraic basis for both binomial and multinomial distributions.
  • A participant later confirms a proposed formula for the multinomial coefficient as n! / (X! Y! (n - X - Y)!), questioning its correctness based on their research.
  • Another participant agrees with the coefficient and elaborates on how to derive the probability by multiplying the coefficient by a specific term involving p, q, and the remaining probability.

Areas of Agreement / Disagreement

Participants generally agree on the transition from binomial to multinomial distribution and the correctness of the multinomial coefficient. However, there is no consensus on the broader implications or applications of these distributions in the context of the original problem.

Contextual Notes

The discussion does not resolve potential limitations in the assumptions made regarding the independence of draws or the specific definitions of the variables involved.

Master J
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I'm having a bit of trouble understanding a probability distribution of 2 variables.

Take for example taking n cards from a deck, and seeing what is the probability of getting X queens and say Y aces (with replacement). This involves the binomial distribution. The probabilities for the individual events are straight forward, but I'm having trouble getting the binomial coefficients.

Normally, for one variable, the coefficient is just n C X ( n choose X) where n is the total number of trials. This is n! / X! (n-X)! ... but how do you get this now for an X and a Y?
 
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I think you want a "multinomial distribution" and "multinomial coefficients" rather than a binomial distribution.

The binomial distribution can be understood from an analysis of the algebra used in computing the coefficients of terms in the expression (p + q)^n.

The multinomial distribution can be understood from analysing the algebra used in computing the coefficients of terms in expressions like (p_a + p_q + p_s)^n.
 
I don't know how searching for "multinomial" escaped me!

I know that the coefficient for my stated problem is as follows:

\frac{n!}{X! Y! (n - X - Y)!}

Does that seem correct? I haven't seen that particular form anywhere I've looked.
 
That's correct for the coefficient. To get the probability, the coefficient is multiplied by a term of the form p^X q^Y (1 - p - q)^{(n-X-Y)}
 

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