From: Liaw, Andy <andy_liaw_at_merck.com>

Date: Thu 24 Mar 2005 - 00:17:05 EST

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Mar 24 00:22:57 2005

Date: Thu 24 Mar 2005 - 00:17:05 EST

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}}
*

R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Mar 24 00:22:57 2005

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