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Date:         Tue, 19 May 1998 13:31:40 -0400
Reply-To:     "Bassett Consulting Services, Inc."
              <BASSETT.CONSULTING/0002395748@MCIMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:         "Bassett Consulting Services, Inc."
              <BASSETT.CONSULTING/0002395748@MCIMAIL.COM>
Subject:      Re: geometric mean

----------------------------------------------------------------------- CONTENT: re: geometric mean NAME: Michael L. Davis INTERNET: Bassett.Consulting@worldnet.att.net AFFILIATION: Bassett Consulting Services, Inc. P-ADDR: 10 Pleasant Drive, North Haven, CT 06473 PHONE: (203) 562-0640 FAX: (203) 498-1414 -----------------------------------------------------------------------

I found Amy Savage's question and Lary Jones's reply about the geometric mean interesting because I had been told that the geometric mean was synonymous with the median. A quick call to SI Tech Support and examination of the SI sample code to compute the geometric mean quickly indicated the error of my understanding. I am glad that I read SAS-L regularly to help identify where some of my previous learning may be in error.

Neverless, if the goal of using the geometric mean is to minimize the skew effect when analyzing small, asymetrical samples, then it appears that one might consider using the median instead of the geometric mean as a tool to estimate the center of the population distribution. Both computations minimize the effects of extreme values

One advantage of using the median is that it is more easily grasped by mathematically challenged (such as myself). Also the median computation can be easily obtained from a base SAS procedure such as PROC UNIVARIATE or PROC CORR.

Now all we need is a spirited discussion of which PCTLDEF= option to use <grin>.


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