Non-independent two consecutive draws from two urns

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The discussion centers on a probability experiment involving two urns, where red balls from urn A are transferred to urn B before drawing from urn B. The random variable $\tilde{y}$ represents the number of red balls drawn from urn B. Participants seek the mean and variance of $\tilde{y$, particularly in asymptotic cases as the number of balls in each urn approaches infinity while maintaining constant ratios. It is noted that as r, w, and b increase, the probability of drawing red balls approaches zero due to the dominance of black balls. The conversation suggests using binomial distributions and Gaussian approximations for large values of r, w, and b.
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Suppose there are two urns: in urn A, there are r red balls and w white balls. In urn B, there are b black balls.

Suppose we do the following experiment: draw k balls from urn A. Among those k balls, put only the red balls in urn B, and draw n balls from urn B. Then the number of red balls from the second draw is a random variable.

Call the random variable $\tilde{y}$. Then
\begin{align*}
Pr(\tilde{y}=y)=\sum\limits_{x=\max\{y,k-w\}}^{\min\{r,k\}}\frac{{r\choose x}{w\choose k-x}}{{r+w \choose k}}\frac{{x\choose y}{b\choose l-y}}{{x+b\choose l}}
\end{align*}

Does anyone know what the mean and the variance of this random variable are? If you do not know the exact form, what about the asymptotic mean and variance when r, w and b go to infinty with the ratio amongst them constant.

Thanks a lot!
 
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For r,w,b -> infinity with constant ratio, with constant n, the probability goes to 0 as we have many black balls and nearly no red balls in the second step.

For r,w -> infinity with constant n,b, the first drawing becomes a binomial distribution as function of k.

In general: Expand your (n choose k) as factorials, simplify, approximate them with the Stirling formula, simplify, and see what you get.

For r,w,b,n -> infinity, gaussian distributions are good.
 
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