[probability theory] simple question about conditional probability

AI Thread Summary
The discussion revolves around calculating the probability of selecting a red ball from a mix of K red and L black balls after initially selecting one of each color. The probability of picking the red ball after mixing is determined by the total number of balls, which is K + L. The initial probability of selecting the red ball from the two chosen (one red and one black) is p. Participants suggest using Venn diagrams as a visual aid to understand Bayes' theorem in this context. The conversation emphasizes the importance of grasping basic probability concepts for clarity in such problems.
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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