"El Banter Inmaculoto" <[EMAIL PROTECTED]> wrote in message 
news:<b0a3hq$n8eq1$[EMAIL PROTECTED]>...
> Hi,
> 
> I am working on a section in my text book on unbiased estimators, and for
> several of the problems I have to find the expected value of x squared.  I
> have the solutions manual for the text book, but I can't figure out how they
> computed the expected value.  For example, for a binomial distribution with
> parameters n, p and q = 1-p, they have the expected value of x squared
> equals npq+n^2*p^2.  Can someone please explain how they get this?  Another
> example is for a poisson distribution with parameter L.  They have the
> expected value of x^2 as L + L^2.  Do I have to use the formula for the
> expected value of x^2 and compute the sum?  This seems very difficult for
> both of these distributions.

Try writing X^2 as X(X-1)+X. You do this so the factorials that 
turn up in both cases remain as factorials, and then you can do 
some simple manipulations and play "spot the probability function".

Glen
.
.
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