If the sample is drawn with replacement from the finite population, then the
usual formula applies (assuming iid samples); i.e., var(sample mean) =
var(population) / n.
There's some problem in your description: A finite population, I believe,
is necessarily discrete (since there are only N possible values), so it can
not be Gaussian (i.e., normal).
Andy
> From: Roy Werkman
>
> Ehh, by limited distribution, I meant to say a population of N points.
>
> ...
>
> Hi,
>
> Can anyone help me with the following (although not directly
> correlated
> to R functionality)? I have been looking on the internet but can not
> find the answer.
>
> My question: what is the variation on the mean of a limited
> distribution
> (total N points normally distributed), when I have a small sample of
> that distribution (n < N)?
>
> Your help would be very welcome.
>
> Thanx,
> Roy
>
>
> --
> The information contained in this communication and any\\ ...{{dropped}}
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