Probability of fish math problem

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Homework Help Overview

The problem involves estimating the number of fish remaining in a lake after an oil spill, based on a capture-recapture method. The original poster presents a probability function related to the number of tagged fish in a sample and seeks to understand how this can be used to estimate the total fish population.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • The original poster attempts to derive a probability function f(n) based on the number of marked fish and the sample caught. Some participants question the validity of the inequality used in the original poster's reasoning. Others suggest that the function has a maximum value at a specific fish population size, indicating a potential method for estimation.

Discussion Status

The discussion is active, with participants exploring different interpretations of the probability function and its implications for estimating the fish population. Some guidance has been offered regarding the relationship between the sample ratio and the total population, but there is no explicit consensus on the original poster's approach.

Contextual Notes

Participants are working within the constraints of a homework problem, which may limit the depth of exploration. The original poster's assumptions about the population and the method of estimation are under scrutiny.

Shockwave
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A woman wants to estimate the number of fish remaining in a lake after an oil spill. She catches 50 fish and marks them. Later on, she again catches 50 fish and discovers that 10 of them are marked.

a. What is the probability of this later event if the lake contains n fish?

b. How can such data be used to estimate the number of fish remaining in the lake?

So suppose an isolated area has n creatures that we want to investigate.

She marked 50 fishes. Later she caught 50 and found 10 are tagged.

The probability of this happening is

(50 chooses 10)(n-50 chooses 40)/(n chooses 50)

Let's called the above probability f(n).

Of course, if there were n - 1 fishes, then f(n - 1) < f(n).

Using the inequality f(n - 1) < f(n), we should be able to solve for n.

Am I correct?

Thanks
 
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Your f(n) is correct though your inequality doesn't make sense.

In your problem, f(n) will have a maximum at n = 250 (which you would expect from the simple proportion 10/50 = 50/n). I.e. 250 is the most probable number of fish in the lake so the probability of more or fewer will be less. You can obtain the 250 by plotting f(n) and is a useful exercise because it gives you an idea of how confident you can be in asserting there are 250 fish in the lake.
 
So, (50 chooses 10)(n-50 chooses 40)/(n chooses 50) reduces to 10/50 = 50/n? If so how did you reduce it please?

Thanks
 
Shockwave said:
So, (50 chooses 10)(n-50 chooses 40)/(n chooses 50) reduces to 10/50 = 50/n? If so how did you reduce it please?

Thanks

No, it does not! The expression you have gives the probability of pulling 50 fish with 10 of them marked from the lake if the lake contains n fish given that 50 fish were marked to begin with. I suggested graphing the function f(n) which will reveal to you that the most probable number of fish in the lake is 250.

Your second question is not the same. You were asked "how can such data be used to determine the number of fish remaining in the lake?" This is an easier question. The woman tagged 50 fish. The sample she drew from the lake contained 50 fish of which 10 were tagged meaning that 1 in 5 of the sample are tagged fish. If that ratio holds true for the entire population then 10/50 = 1/5 = 50/n so that n = 250 which agrees with your expectation from the first part!
 

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