Although an F value is computed for all sums of squares in the analysis using the residual MS as an error term, you may request additional F tests using other effects ...
In a linear model under normality it is shown that the error sum of squares is characterized by its distribution. Two proofs are presented, one using the almost-sure ...
The Blocks within Replications sum of squares is further broken down into "Component A" and "Component B." If there is no repetition of the basic plan, the Component B sum of squares is the same as ...
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