Expected value of number of carps pool

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Homework Help Overview

The discussion revolves around determining the expected value of the total number of carps in a pool, given the number of marked carps and the results from fishing out a sample. The problem involves concepts from probability and statistics, particularly related to estimation and sampling distributions.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants explore the relationship between the number of marked carps drawn and the total number of carps in the pool. There are attempts to derive formulas based on ratios and probabilities, while questioning the effectiveness of these approaches. Some participants express uncertainty about how the expected value evolves as more carps are drawn one at a time.

Discussion Status

Several participants have acknowledged the correctness of initial formulas for estimating the total number of carps. There is an ongoing exploration of how the estimates for the total number of carps change as more samples are taken. Some participants suggest that the estimates improve with larger samples, while others seek clarification on the expected value's dependence on the sampling process.

Contextual Notes

Participants note that the problem does not provide exact error distributions for the estimates and that the question may be seeking a qualitative understanding rather than precise calculations. There is mention of the hypergeometric distribution as a relevant concept in the discussion.

twoflower
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Homework Statement



There is k carps in the pool, m of them are marked. I randomly fish out n carps and see that x of them are marked.

What is the expected value of number of carps in the pool? (ie. expected value of number of the carps in the pool in the beginning)

How will the expected value change as we fish the carps out one by one? (ie. not together, but one carp at the time).

To sum it up, I know m, n and x and I don't know k.

2. The attempt at a solution

I'm not sure how to solve it. For the first case, I think that ratio of marked carps in the group of the carps drawn out should be (averagely) the same as the ratio or marked carps in the whole pool, ie.

[tex] \frac{x}{n} = \frac{m}{k}[/tex]

so

[tex] k = \frac{m.n}{x}[/tex]

But will it really determine the expected value of number of all carps?

For the second case, I'm even more out-of-idea.

From definition, I'd say expected value of number of the carps is

[tex] \sum_{i=0}^{k} X_i p_i[/tex]

Where [itex]X_i = i[/itex] and [itex]p_i[/itex] is probability that there are [itex]i[/itex] carps in total.

But this doesn't seem to be an effective approach.

Could someone give me some hint, please?

Thank you.
 
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Your answer for k is correct. I think the gist of the second question is just to realize that the number of carp pulled out increases your estimates of k will keep changing. E.g. after one is pulled out what are the possibilities for k? What they are after is what do you think will happen to the estimates for k after a LARGE number are pulled out?
 
Dick said:
Your answer for k is correct. I think the gist of the second question is just to realize that the number of carp pulled out increases your estimates of k will keep changing. E.g. after one is pulled out what are the possibilities for k? What they are after is what do you think will happen to the estimates for k after a LARGE number are pulled out?

Now I draw it, but I still don't know...In the beginning, I have m carps marked in the pool. I draw one. Probability that it will be the marked one is [itex]\frac{m}{m+u}[/itex] where u is unknown and it denotes the number of unmarked carps in the pool.

But I still can't figure out how can I conclude or guess the total count of carps in the pool considering the result of this one carp which I just fished out.
 
I know there are 100 marked carp in the pool. I pull out 20 and 10 are marked. What's your guess for the total? Admittedly, a sample of one gives you pretty poor estimates. But then I think that is the point of the 'how does the expected value change' part of the question.
 
Dick said:
I know there are 100 marked carp in the pool. I pull out 20 and 10 are marked. What's your guess for the total? Admittedly, a sample of one gives you pretty poor estimates. But then I think that is the point of the 'how does the expected value change' part of the question.

I still get the estimation for k:

[tex] k = \frac{m.n}{x}[/tex]

where n is number of carps I have fished out so far and x is count of marked ones among them, so this expression gives me estimation of total carps count in n-th step. But I guess this is not what I was asked for in the original problem...
 
Hmmm. I think the point is that the estimate of how many fish, while poor if you've only pulled a few fish out, gets better and better as you pull more out. In fact, it is perfect when you've pulled them all out. Can you agree with that? I think that is the sort of thing they want you to observe.
 
Dick said:
Hmmm. I think the point is that the estimate of how many fish, while poor if you've only pulled a few fish out, gets better and better as you pull more out. In fact, it is perfect when you've pulled them all out. Can you agree with that? I think that is the sort of thing they want you to observe.

Maybe, but it seems rather obscure to me, I think they expect some kind of [itex]EX = ...[/itex], ie. expected value based only on current number of carps drawn out and the probability of drawing the marked carp in one individual step. When we were discussing this problem on our school forum, one of the ideas was to consider expected value of hypergeometric distribution.
 
It looked to me like the question was asking for a qualitative answer, since it wasn't asking for any exact error distributions on your estimated value. If you want to push it to another level then you can ask questions like 'how many carp do I have to pull out before I'm 95% confident that my answer is within 5% of the correct total'. Then it's just the same problem as defining error margins in sampled opinion polls. But I don't think the question as you stated it asks for that level of detail.
 

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