At 12:01 PM 9/24/01 -0500, you wrote:
> I have a question about "averaging medians." My dataset consists of
> median values for a variable of interest. To find the average, do I
> average the medians and get a mean median, or do I find the median of the
> median values?
since we don't know
I have a question about "averaging medians." My dataset consists of median values
for a variable of interest. To find the average, do I average the medians and get a
mean median, or do I find the median of the median values?
subscribe edstat-l Jan Winchell
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In article <3BAF09BF.1057.32F8FF@localhost>,
J.Russell <[EMAIL PROTECTED]> wrote:
>The requirement for the CLT to hold is that there should be a mean
>and st deviation for the background distribution. This I checked in
>Introduction to the Theory of Statistics by Mood, Graybill and Boes
>For a
"Robert J. MacG. Dawson" wrote:
> Actually, there *is* essentially one canonical metric function on
> Riemannian geometry. In either model of absolute geometry there is, up
> to a multiplicative constant, only one metric preserved by reflection.
> In hyperbolic geometry, moreover, ther
Emord Nila Palindrome wrote:
> It is certainly bad usage, for the following reason: the phrase,
> "the metric", implies that there is *one* metric function on
> Riemannian geometry, which is false. This reason has nothing
> to do with distance measure in general, as commonly understood,
> or o
Title: II Convenção de Saúde das Américas
SP/Setembro/2001
Prezado(a) Doutor(a)
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para o evento internacional
mais importante de 2001 realizado no BRASIL, a
II
Convenção de Saúde das Américas
Partici
Rich Ulrich wrote:
>
> >
> But what if I have a population of numbers that is made up of
> 1 billion draws from a Cauchy distribution? No one has ever
> defined this for me, and I have never tested it, but if you *have*
> a sample in hand, then you *can* compute a standard deviation
> even th
> Joe Galenko wrote:
>
> > Just out of curiousity, I'd like to know what kind of population you could
> > have such that a sample mean with N = 200 wouldn't be approximately
> > Normally distributed. That would have to be a very, very strange
> > distribution indeed.
and Gus Gassmann responded:
The requirement for the CLT to hold is that there should be a mean
and st deviation for the background distribution. This I checked in
Introduction to the Theory of Statistics by Mood, Graybill and Boes
For a Cauchy distribution we can not determine the standard
deviation and thus taking r
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