Subject: statistics :-)
Date: Sat, 19 Apr 2003 16:03:11 -0400
To:       Bob Armstrong <bob@cosy.com>
From:     Bonnie <rabbit@cownow.com>
Hello, there, Statistician Bob! :-)

We're pulling together some data to analyse our election
results with. Catherine and Willie are helping me get the
data into spreadsheets. Would you be interested in
supervising our statistical inferences? :-) Things like:
which impacts our vote percentage more: members in the
area, the # of non-enrolled voters in the area, the income
bracket in the area, etc?

I had some basic stats and aced that. Then, it came time
for business stats (stats II), and I THOUGHT I knew what
they were teaching, I skipped a few classes and ended up 
getting hopelessly behind! It's one of only two Cs I got 
in college. Arg. (The other was Sanskrit, and I think they
were both C-minuses!)

Thanks,

Bonnie

On Fri, Apr 18, 2003 at 11:53:14PM -0400, Bob Armstrong wrote:
> On Thu, 17 Apr 2003 16:35:06 -0000, greghevia wrote:
> >=A0I dunno what a correllation coefficient is, but the constant=
 use of
> >=A0highly multisyllabic words like that on this board should=
 give an
> >=A0inkling as to why there are so many atheists here.
> 
>  Greg , you seem to have become much more open to logic
>  and rational argument over the months . So , just for
>  your edification :
> 
>  A ( Pearson "product moment" ) correlation coefficient 
>  ( abbreviated "r" ) is a measure of the extent to which
>  two sets of data tend to vary together .  
> 
>  It ranges from +1 ( if a change in one measure is always
>  matched by a proportional change in the other ) to -1 
>  ( if a change in one variable is alway matched by a 
>   proportional change in the opposite direction by the
>   other )  If there is no consistent relationship between
>  the 2 variables at all ,  r =3D 0 .
> 
>  r  is in fact the cosine of the angle between the two
>  data sets as points in n-dimensional space . 
>  ( A fact the learning of which motivated me to learn 
>   what the hell that meant . )
>  
>  It is simple to appreciate , however , that if the 
>  correlation is 0 , the two sets of data are orthogonal ,
>  or at right angles to each other .
>   
> --
> =A0Bob Armstrong -- http://CoSy.com -- 212-285-1864
> Ultimate Computing Environment : =A0http://cosy.com/K/CoSy.htm
> A WTC vision : http://cosy.com/CoSy/ConicAllConnect/
> =A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A02003/04/18 11:36:27 PM
> 
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