Can Binomial Distribution Be Approximated to Poisson Distribution?

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The discussion revolves around approximating the binomial distribution to the Poisson distribution, specifically through the expression N!/(N-n)! = N^n. The user attempted to simplify the factorial expression but found it complicated, leading to confusion about the relevance of the Stirling formula. They explored approximations for large N relative to n, ultimately expressing the problem in terms of N^n. The user seeks clarification on the selective use of approximations and the applicability of the Stirling formula in this context. Understanding these approximations and their derivations is crucial for solving the problem effectively.
rsaad
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Homework Statement



The question requires me to approximate binomial distribution to get poisson distribution.
Show that N!/(N-n)!=N^n.

Homework Equations



N!/n!(N-n)! p^n q^(N-n)=Binomial distribution



The Attempt at a Solution



I expanded N!/(N-n)! and got: (N-1)(N-2)(N-3)...(N-n+2)(N-n+1). This didn't help me in getting the required approximation. So, then I wrote it as follows:( N-(n-(n-1)) ) ( N-( n- (n-2) ) )...( N-(n-2) ) ( N-(n-1) ).
It seem to have further complicated the question.
A little help please.:redface:
Thank you.
 
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Look at how the Stirling formula is derived ... it should be quite helpful.
 
I looked at the stirling formula derivation but I don't know how it is helpful here.
So I have solved it the other way.
[N-(n-(n-0))] [N-(n-(n-1))] [N-(n-(n-2))] [N-(n-(n-3))]...[N-( n-(3) )][N-( n-(2) )][N-( n-(1) )]
For N>>n, using this approximation once, I get n terms:
[N-n] [N-n] [N-n] ... [N-n] [N-n] [N-n]
using the approximation again,
[N] [N] [N] ...[N] [N] [N] =N^n

My question is can I use this approximation selectively like I did in the above two steps.
Secondly, how was sterling formula derivation helpful? I used the x! formula and I get exponential(-n). Because n<<N, this term is big, making the entire answer zero.
 

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