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Subject:
From:
Ely Ben-Naim <[log in to unmask]>
Reply To:
Ely Ben-Naim <[log in to unmask]>
Date:
Tue, 7 Mar 1995 11:59:26 -0600
Content-Type:
text/plain
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Following a discussion about the RPI ratings, i looked
into the final season ratings for and calculated the
standard deviation for the various %'s. The standard
deviation is a quantitative measure of the variation in
a data set.
 
 
                     Win%     OppWin%    OppOppWin%
 
std. dev. (in %)      17        3           1
 
 
One can thus say that Win% is  50%+/-17%. The more
variables one averages over, the smaller the deviation
will be and this explains why for the strength of schedule
variables the deviation is much smaller.
 
RPI gives different weights to the different categories.
If we assume that the effective weight is the weight
corrected by std. dev. ( i believe that this assumption is
justified) we find
 
 
     weight         Win%     OppWin%    OppOppWin%
 
      RPI            25         50          25
 
   Effective         71         25          4
 
 
RPI thus gives Win% a much larger weight than might be
thought by looking at the 25% weight.
 
 
 
Eli

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