🚀 go-pugleaf

In article <OLIVER.92Apr15054328@ballard1.mit.edu> oliver@athena.mit.edu (James
D. Oliver III) writes:
>I was using a packaged statistical program to do some simple means testing,
>and notice that in several cases the program didn't do a straightforward
>t-test, but instead "computed the standard error of the difference of means
>assuming IQR(pop.1)/IQR(pop.2)= X".
>
>I found out what IQR is (interquartine(sp?) range) and have a general
                          ^^^^^^^^^^^^^  [interquartile]?
>understanding of what it is, but can find no references on the specifics of
>this particular adjustment and/or the justification for using it.
>
Sounds to me like the package is trying to determine the relative spreads of
the populations because the t-test fails when testing on populations with
differing variances.  The ANOVA does as well, but I don't know of a comparable
procedure.  In fact, that's the first time I've heard of a package which tries
to do this.  Nice.

But I have _no_ idea where to go from here.

>Can anyone point me to some basic, low-level references on this?  Also, if
>there is a similar procedure in conjunction with one-way analysis of
>variance?
>--
>____________________________
>	Jim Oliver  
>	oliver@athena.mit.edu /	joliver@hstbme.mit.edu
>	oliver%mitwccf.BITNET@MITVMA.MIT.EDU
>

regardless,
&rue

Andrew.Robinson@anu.edu.au   <= forestry statistician 
(if it moves, count it; if it doesn't move then CHOP IT DOWN and count it.)
My employers don't care what I say, in fact I don't even think they know I
exist.