A statistical sum of squares measures variation by adding squared deviations. For observations 
,
,
..., 
with sample mean 
, the total sum of squares is
 |
In an analysis of variance, this total is partitioned into sums of squares associated with sources of variation and error. Dividing a source sum of squares by its degrees of freedom gives the corresponding mean square.
