[probability theory] simple question about conditional probability

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SUMMARY

The discussion revolves around calculating the probability of selecting a red ball from a mixture of K red balls and L black balls. The probability of selecting a red ball after mixing is determined by the formula P(Red) = K / (K + L). The user, rahl, seeks clarification on the application of Bayes' theorem in this context, although it is not necessary for this straightforward probability problem. Venn diagrams are suggested as a helpful visualization tool for understanding conditional probabilities.

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rahl___
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Hi all,

I've got this very simple problem:

We have K red balls [or what is the most popular item in combinatorics] and L black balls. If we take one red ball and one black ball and then randomly pick one of them, the probability of getting the red one equils p. We mix all of them, so now we have K+L balls and pick one at random. what is the probability, that it is the red one?

I know it is an elementary problem, but I never really got into that bayes' theorem, which I need to use here, right? I would be grateful for simple and plain explanation.

thanks for your time,
rahl.
 
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Venn diagrams are a way easy method for visualizing Bayes' equations.
 

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