MHB How many draws until all paired tea bags are gone from the jar?

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The discussion revolves around calculating the expected number of draws, D, required to deplete paired tea bags from a jar containing 2*N bags. Initially, all bags are paired, and the selection process involves randomly choosing either a pair or a single bag. The range for D is established between N and 2*N-1, depending on the selection outcomes. Participants express uncertainty about the complexity of the problem, with one recalling a possible connection to a previous mathematical discussion. The conversation highlights the need for further exploration of recursion equations or a general formulation for a solution.
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I suspect this is not really an "advanced" probability question, but I'm not sure - haven't been near this stuff for decades.

The definition: I have a jar with 2*N tea bags in it (N>0 obviously). The beginning condition is that the teabags are joined in pairs - so there are N pairs. At each selection I select an item at random - initially that will be a pair of bags, in which case I tear one off and put the other back. On later turns I randomly select either a single bag, which would then be used, or a pair of joined bags (if there are any left), in which case I tear one off and proceed as above. What is the probability distribution - and hence the expectation - for D, the number of "drawings" required before there are no paired bags left in the jar?

It is clear that the values for D can range from N (by happening to always select paired bags) to 2*N-1.

I can see some ways of getting recursion equations, but I suspect that this problem has a simple answer resulting from a more general formulation. Any quick answers? Thanks.
 
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RWood said:
I suspect this is not really an "advanced" probability question, but I'm not sure - haven't been near this stuff for decades.

The definition: I have a jar with 2*N tea bags in it (N>0 obviously). The beginning condition is that the teabags are joined in pairs - so there are N pairs. At each selection I select an item at random - initially that will be a pair of bags, in which case I tear one off and put the other back. On later turns I randomly select either a single bag, which would then be used, or a pair of joined bags (if there are any left), in which case I tear one off and proceed as above. What is the probability distribution - and hence the expectation - for D, the number of "drawings" required before there are no paired bags left in the jar?

It is clear that the values for D can range from N (by happening to always select paired bags) to 2*N-1.

I can see some ways of getting recursion equations, but I suspect that this problem has a simple answer resulting from a more general formulation. Any quick answers? Thanks.

I can't give you any help with this at present, I will have to think about it. However I can say I have seen this problem somewhere before, and vaguely recall it being connected with Herman Bondi (I suspect there was a note either in Mathematics Today or the Mathematical Gazette about it, but that is no help since my filling system makes it impossible to find even if I knew which and which year..).

CB
 
Last edited:
CaptainBlack said:
I can't give you any help with this at present, I will have to think about it. However I can say I have seen this problem somewhere before, and vaguely recall it being connected with Herman Bondi (I suspect there was a note either in Mathematics Today or the Mathematical Gazette about it, but that is no help since my filling system makes it impossible to find even if I knew which and which year..).

CB

Thank you for the update, will see what develops.
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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