Thank you -- I've been racking my poor brain, trying
to remember how to get some means in SAS (SAS book in
office, working at home).  I 'googled' Proc Means and
found the answer.
DW

--- Rich Ulrich <[EMAIL PROTECTED]> wrote:
> On 27 Jan 2004 01:59:46 -0800, [EMAIL PROTECTED]
> (Iain Toft) wrote:
> 
> > I'm no stats expert but would like to solve the
> following problem.
> > 
> > Given two sets of scores...
> > 
> > S1 = [38.37388112, 38.37471969, 38.40682618,
> 38.37863674, ...,
> > 38.39506964]
> > S2 = [22.40683282, 22.23267916, 22.08881316,
> 24.96633041, ...,
> > 21.8635192]
> > 
> > I'd like some statistical evidence to show the
> scores attained in S2
> > are inferior to those in S1. I can show the
> mean,min,max,stdev but
> > would like something with a little more clout.
> 
> The Subject:  line asks,  "is this a t-test
> problem."
> 
> It would seem likely to be, if the numbers were not
> weird.
> 
> If one set of numbers ranges from 38.4-  to 38.4+  
> while the other ranges by 3 points or more, then 
> the *assumption*  seems pretty invalid, that you 
> should imagine the same process as generating 
> both.  Perhaps more should be said, in order to make
> the problem seem "reasonable".
> 
> Then, you go to say that they are *paired*  scores. 
> 
> No explanation is offered for why the one set is so
> near to a constant.  If they are pairs, and one
> score
> is nearly fixed, is it better (more reasonable) to
> ask
> whether the *difference*  is has some properties?
>  - the difference is a very popular starting point
> when
> scores are properly assorted by pairs.
> 
> Suppose the numbers lump up in a few places -- That
> is the prospect by which I can imagine that the two
> examples
> could overlap.  When the *other*  group is bigger,
> the pairs of scores are merely reversed, and
> intermediate
> scores do not occur.
> 
> You get a *robust*  test by asking the simple
> question,
> Which one is higher?  If the starting values are
> indicator,
> then the one sample is higher for all 50 values.
> 
> Look more widely for examples, if you want to see
> what
> a t-test is ordinarily used for, and what it is best
> for.
> Those data are not a good example.
> I find that google has pretty good success when 
> < FAQ  tutorial >  are combined with broader topics,
> 
> such as "paired t test".
> 
> -- 
> Rich Ulrich, [EMAIL PROTECTED]
> http://www.pitt.edu/~wpilib/index.html
> "Taxes are the price we pay for civilization." 
> .
> .
>
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