MHB Finding a formula for a problem

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The discussion focuses on calculating the probability that m birds from a total of n are returned to a cage within the same one-second interval during a ten-minute period. The proposed formula is based on a binomial distribution, with the probability of success set at 1/600 for each interval. The probability for m birds in any specific interval is expressed as nCm*(1/600)^m*(599/600)^(n-m). Since there are 600 intervals, the total probability is multiplied by 600. The calculations and assumptions about equal likelihood across intervals are confirmed by participants in the discussion.
Fermat1
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There are n birds which need to be put back in a cage.

In a specific 10 minute period each bird will be put back at some random point in time.

Find a formula for the probability that m animals from n are put back at the same time, where the 'same time' means in the same 1 second interval. The intervals are (0,1),(1,2) etc

My idea. Let's take any particular interval. Then I think it boils down to a binomial situation with n trials and probability of success 1/600.

So for any particular interval, the probability of m from n being in the interval is

nCm*(1/600)^m*(599/600)^(n-m)

because there are 600 intervals we should multiply the above by 600

Is this correct?

Thanks
 
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please help. I've shown my work so I think its deserving.
 
Hi Fermat,

Assuming that each interval is equally likely, then yes I agree with you.

As you said the probability of $m$ animals being put back in the interval (0,1) is $${n \choose m}\left( \frac{1}{600} \right)^m \left(\frac{599}{600} \right)^{n-m}$$. It's same probability for (1,2),(2,3)...(599,600). We have 600 intervals so multiply the above probability by 600.
 
Greetings, I am studying probability theory [non-measure theory] from a textbook. I stumbled to the topic stating that Cauchy Distribution has no moments. It was not proved, and I tried working it via direct calculation of the improper integral of E[X^n] for the case n=1. Anyhow, I wanted to generalize this without success. I stumbled upon this thread here: https://www.physicsforums.com/threads/how-to-prove-the-cauchy-distribution-has-no-moments.992416/ I really enjoyed the proof...

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