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- Newsgroups: sci.math.stat
- Path: sparky!uunet!munnari.oz.au!metro!sunb!laurel.ocs.mq.edu.au!wskelly
- From: wskelly@laurel.ocs.mq.edu.au (William Skelly)
- Subject: Re: Fwd: Standard Deviation.
- Message-ID: <1992Aug16.212245.27577@mailhost.ocs.mq.edu.au>
- Sender: news@mailhost.ocs.mq.edu.au (Macquarie University News)
- Nntp-Posting-Host: laurel.ocs.mq.edu.au
- Organization: Macquarie University, Australia.
- References: <1992Aug14.172833.11844@cbfsb.cb.att.com> <seX2yRq00Uh785H2EB@andre <1992Aug14.231916.23479@magnus.acs.ohio-state.edu>
- Date: Sun, 16 Aug 1992 21:22:45 GMT
- Lines: 26
-
- In article <1992Aug14.231916.23479@magnus.acs.ohio-state.edu> regeorge@magnus.acs.ohio-state.edu (Robert E George) writes:
- >
- >More intuitively, if we take a very sample, we are less likely to get
- >extreme values and so our notion of what the population variance is (note
- >that I am not proposing some particular estimator) will be unrealistic.
- >For instance, I give an exam to two students. Their scores are 67 and
- >71. I think, "Gee, there's not a lot of variability in these scores."
- >But then 8 more students take the exam:
- > 60 78 100 38 50 88 99 39
- >
-
- I have a further question with regard to the negative biasness of
- the sample variance estimate.
-
- This and other posting indicate that there is a relationship between
- sample size and and estimated variance (of the population) which is
- positive and always an underestimate. What is the limit, or point
- at which an increasing sample size no longer improve the estimate
- of populations variance?
-
- Can this be tested by taking samples of sample (the later sample
- being elevated to the status of population)?
-
- cheers,
- chris
-
-