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

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In summary, the conversation is about a probability question involving a jar of 2*N tea bags in which the bags are joined in pairs. The question is to determine the probability distribution and expectation for the number of "drawings" required before there are no paired bags left in the jar. The values for D can range from N to 2*N-1. The problem has been seen before and may be connected to Herman Bondi, but no immediate help or solution is given.
  • #1
RWood
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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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  • #2
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
 
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  • #3
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.
 

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

What is "The "tea bag" problem"?

The "tea bag" problem refers to a famous mathematical puzzle that involves finding the minimum number of weighings needed to identify the heaviest of a set of identical-looking tea bags.

What makes "The "tea bag" problem" challenging?

The challenge in this problem lies in the fact that the tea bags are visually identical, making it impossible to differentiate them visually. This requires the use of a balance scale to measure the weight of the tea bags.

What is the solution to "The "tea bag" problem"?

The minimum number of weighings needed to solve this problem is log2(n), where n is the number of tea bags. This means that for a set of 8 tea bags, it would take 3 weighings to identify the heaviest one.

Can "The "tea bag" problem" be solved using a different method?

Yes, there are alternative methods that can be used to solve this problem, such as using a binary search tree or a divide and conquer algorithm. However, the minimum number of weighings needed to solve the problem will remain the same.

What is the real-world application of "The "tea bag" problem"?

The "tea bag" problem has real-world applications in areas such as supply chain management, logistics, and quality control. It can also be used to teach mathematical concepts such as binary search and logarithms.

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