Expected number of trials before I get two out of three types
I am a biologist trying to quantify the likelihood of observed genetic phenomena… I’ve tried my best to formalize my question in accepted terms as follows:
Given a stack of n cards, each colored red (x cards) , blue (y cards), or green (z cards) where x + y + z = n, what is the expected number of draws, without replacement, before you draw both a red and a blue card? It doesn’t matter whether the red or blue card comes first. Preferably, a solution would be defined in general terms, but for demonstration’s sake, one could assume a stack of 10 cards, where x = 3, y = 5, z = 2.
Intuitively, I figured this could be solved using multivariate hypergeometric distributions. However, because we are looking for the expected minimal number of draws before two successes occur (both a red and a blue card), this approach appeared to require some tricky combinatorics.
I have also looked, without success, into adopting solutions from other problems. My sense is that between the following two posts there is a solution, but one I have not been able to intuit.
Expected number of card draws to get all 4 suits
Expected number of trials before I get one of each type
Any direction would be greatly appreciated -- thanks so much!
probability conditional-probability
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I am a biologist trying to quantify the likelihood of observed genetic phenomena… I’ve tried my best to formalize my question in accepted terms as follows:
Given a stack of n cards, each colored red (x cards) , blue (y cards), or green (z cards) where x + y + z = n, what is the expected number of draws, without replacement, before you draw both a red and a blue card? It doesn’t matter whether the red or blue card comes first. Preferably, a solution would be defined in general terms, but for demonstration’s sake, one could assume a stack of 10 cards, where x = 3, y = 5, z = 2.
Intuitively, I figured this could be solved using multivariate hypergeometric distributions. However, because we are looking for the expected minimal number of draws before two successes occur (both a red and a blue card), this approach appeared to require some tricky combinatorics.
I have also looked, without success, into adopting solutions from other problems. My sense is that between the following two posts there is a solution, but one I have not been able to intuit.
Expected number of card draws to get all 4 suits
Expected number of trials before I get one of each type
Any direction would be greatly appreciated -- thanks so much!
probability conditional-probability
add a comment |
I am a biologist trying to quantify the likelihood of observed genetic phenomena… I’ve tried my best to formalize my question in accepted terms as follows:
Given a stack of n cards, each colored red (x cards) , blue (y cards), or green (z cards) where x + y + z = n, what is the expected number of draws, without replacement, before you draw both a red and a blue card? It doesn’t matter whether the red or blue card comes first. Preferably, a solution would be defined in general terms, but for demonstration’s sake, one could assume a stack of 10 cards, where x = 3, y = 5, z = 2.
Intuitively, I figured this could be solved using multivariate hypergeometric distributions. However, because we are looking for the expected minimal number of draws before two successes occur (both a red and a blue card), this approach appeared to require some tricky combinatorics.
I have also looked, without success, into adopting solutions from other problems. My sense is that between the following two posts there is a solution, but one I have not been able to intuit.
Expected number of card draws to get all 4 suits
Expected number of trials before I get one of each type
Any direction would be greatly appreciated -- thanks so much!
probability conditional-probability
I am a biologist trying to quantify the likelihood of observed genetic phenomena… I’ve tried my best to formalize my question in accepted terms as follows:
Given a stack of n cards, each colored red (x cards) , blue (y cards), or green (z cards) where x + y + z = n, what is the expected number of draws, without replacement, before you draw both a red and a blue card? It doesn’t matter whether the red or blue card comes first. Preferably, a solution would be defined in general terms, but for demonstration’s sake, one could assume a stack of 10 cards, where x = 3, y = 5, z = 2.
Intuitively, I figured this could be solved using multivariate hypergeometric distributions. However, because we are looking for the expected minimal number of draws before two successes occur (both a red and a blue card), this approach appeared to require some tricky combinatorics.
I have also looked, without success, into adopting solutions from other problems. My sense is that between the following two posts there is a solution, but one I have not been able to intuit.
Expected number of card draws to get all 4 suits
Expected number of trials before I get one of each type
Any direction would be greatly appreciated -- thanks so much!
probability conditional-probability
probability conditional-probability
asked Nov 23 at 19:07
hemen
62
62
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This may help. Clearly the maximum number of draws is $z+x+1$ assuming with no loss of generality that $yleq x.$ Then apply the inclusion exclusion approach in the first answer you linked.
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1 Answer
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1 Answer
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This may help. Clearly the maximum number of draws is $z+x+1$ assuming with no loss of generality that $yleq x.$ Then apply the inclusion exclusion approach in the first answer you linked.
add a comment |
This may help. Clearly the maximum number of draws is $z+x+1$ assuming with no loss of generality that $yleq x.$ Then apply the inclusion exclusion approach in the first answer you linked.
add a comment |
This may help. Clearly the maximum number of draws is $z+x+1$ assuming with no loss of generality that $yleq x.$ Then apply the inclusion exclusion approach in the first answer you linked.
This may help. Clearly the maximum number of draws is $z+x+1$ assuming with no loss of generality that $yleq x.$ Then apply the inclusion exclusion approach in the first answer you linked.
answered Nov 23 at 19:59
kodlu
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