Assume that you are conducting an experiment where you impose a change on various treatments (hoping to cause a change in the observed responses) and analyzing the results via an ANOVA study. In that case, why is variation between treatment means good and variation within each treatment bad? O There is no good or bad variation. Variation is, by its nature, always bad. Good variants are helpful; while bad variants are a detriment to society O Variation between treatment means is good, because it is small. Variation within each treatment is bad, because it's big.

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