In two-way ANOVA, the variability within each cell is used to produce an estimate of s 2 that is independent of any treatment effects.
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Q86: The assumptions underlying two-way ANOVA and one-way
Q87: In two-way ANOVA, it is possible for
Q88: MSwithin-cells is the standard for evaluating the
Q89: Define interaction effect.
Q90: Define column variance estimate ( MScolumns).
Q92: An assumption of two-way ANOVA is that
Q93: Define row degrees of freedom (df rows
Q94: Define interaction variance estimate ( MSinteraction ).
Q95: Define interaction sum of squares ( SSinteraction
Q96: Define row sum of squares ( SSrows
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