On 2 Jul 2003 12:03:13 -0700, [EMAIL PROTECTED] (Dennis Roberts) wrote:

> At 02:33 PM 7/2/03 -0400, Wuensch, Karl L wrote:
> >         For example, I just computed the Pearson r between statophobia (the
> >first-day amount of self-reported fear of the course expressed by students
> >who have taken stats with me the last several years) and the height of the
> >students' ideal mate.  Although "significant" at .003, the r was rather
> >small, .13.  The sample size was moderately large, 489.  More fun is to see
> >how it is that the students interpret this correlation -- why does
> >statophobia covary with the height of ideal mate?
> >
> >Karl W.
> 
> but, we know the null is not true ... so, why test it? what's the point and 
> utility of that step?
> 

In modern practice, perhaps we do look at the 'test'  as a first step,
because  - occasionally - we can be surprised, despite having
an N that is huge (relatively speaking). 

> the real question is: what might the rho be between X and Y (whatever that 
> is) ... NOT ... should we reject 0 ...
>  [ snip, rest]

Right.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
"Taxes are the price we pay for civilization."  Justice Holmes.
.
.
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