Extracting individual treatment means from a factorial model response variable.

Treatments : TURF and TREE
Response : Root Volume

There were repeated measures (6 "sessions") in this split-plot
design. Turf : whole plot, Tree : subplot.

ANOVA summary shows NO Significance for all 6 sessions for the TURF x
TREE interaction.

I have been asked to show how SAS is able to calculate the individual
TURFGRASS means from the initial response variable means (means from
post-hoc tests), because while the TURF x TREE interaction was non-
sig, TURF was sig for all 6 sessions.

I know it has to do with factorial model analysis...But I'm not quite
sure how to do it.

Any help ?
.

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