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METHODS FOR INCREASING THE ACCURACY OF EXPERIMENTS
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2-factors ABCD additional adjusted amount analysis of variance appear applied arranged average balanced calculated chapter columns compared comparisons complete components computed confidence confounded Consequently constructed contains degrees of freedom designs difference divided equal equation error error m.s. error variance estimate example experiment experimental factorial factorial effect follows given gives incomplete block increase interactions latin square lattice limits linear main effects mean mean square measure ments method missing Note number of replications observations obtained pair plots practice precision present probability quantity randomized randomized blocks reduced relative represent residual response rows rule separate shown shows significance single standard error statistical sum of squares tion treat treatment means treatments true two-factor interactions units usual variation Yates yields