Which of the following statements about blocks variation is false? a. It equals the sum of the squared deviations between each b
lock sample mean and the grand mean. b. It measures the variation among block sample means, which is attributable not to chance to inherent differences among blocks of experimental units. c. In two-way ANOVA, it equals the blocks mean square. d. In three-way ANOVA, it equals the blocks sample mean. e. None of these.
d. In three-way ANOVA, it equals the block sample mean.
Step-by-step explanation:
Blocks variation is the analysis of variance. Block variations equals sum of squared deviation between each block sample mean. ANOVA is a statistical technique designed to test mean of one or more quantitative populations. In two-way ANOVA it equals the block mean. Column block means square is three-way ANOVA. Block means square in two-way ANOVA without interactions the treatment mean square.
