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Article #3642(no subject given)
From: Albyn Jones
Date: Tue, 21 Jan 1992 16:47
Date: Tue, 21 Jan 1992 16:47
50 lines
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2794 bytes
> >The idea of "degrees of freedom" causes different sorts of difficulty to >students of different kinds, so I think you need to have a range of >"explanations" to choose from, including all those which have been given >so far. Here are some, for audiences of increasing sophistication. > >1) Why do we divide by n-1 to find the variance? > A good formula must stand the test of extreme cases. Suppose you > try to estimate the variability when you only have one observation > The answer 0/0 is a way of saying that the question is meaningless: > an infinite estimate would not be such a sensible answer. We divide by n-1 because of the tradition of unbiased estimation. >2) (A more technical answer to the same question) > There are many algebraically equivalent ways to calculate the variance, > apart from the common textbook versions: > a) (sum of squares - n*xbar)/(n-1) > b) (sum of squares of diffs from xbar)/(n-1) > In neither case is the n-1 very obvious, but there is an equivalent > way where it is: > sum of squared( diffs of pairs of observations)/(n(n-1)) > Summation is over all the n(n-1)/2 possible pairs. > This makes the n-1 "obvious", and the factor of two comes from the > fact that we are really estimating the variance of a difference. > Proving the equivalence of the formulae is a good excercise for the > student. None of this algebra has any explanatory value. Formula "a" should be excised from all the literature; it is a numerically unstable algorithm left over from the days of hand calculation. The real "more technical" answer is that all statistical software assumes you want to divide by n-1, so that is what everyone does. >3) Why do we want to get un unbiassed estimate of the variance, rather > than the SD? Because if you believe that unbiasedness is a good thing, you want to estimate the variance because there IS an unbiased estimator for the variance. You blush and mumble about asymptotic unbiasedness for the SD. > >And so on. There is only so much they can take at a time. > No argument there.... >David Kerridge albyn jones
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: f5efb,3d950c2ae0f86910,start X-Google-Attributes: gidf5efb,public X-Google-ArrivalTime: 1992-01-21 09:58:49 PST Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU Subject: (no subject given) Path: arc1-ca.pugleaf.net!sparky!uunet!europa.asd.contel.com!paladin.american.edu!auvm!REED.EDU!JONES Message-ID: <m0l6OJw-0003G5C@reed.edu> Newsgroups: bit.listserv.stat-l Date: Tue, 21 Jan 1992 08:47:00 PST Sender: "STATISTICAL CONSULTING" <STAT-L@MCGILL1.BITNET> From: Albyn Jones <jones@REED.EDU> X-To: STAT-L@VM1.MCGILL.CA