Unequal Sample Size Two Way Anova. It just assumes equal variances and normal distribiution in each group. Sample size 3 NONPARAMETRIC.
The complexity comes from the many possible ways to phrase your question about sample size. A question from an old stats text wants to know if there is a difference in break times at different construction sites. Two-way ANOVA as youd expect is more complicated than one-way.
ONE-WAY ANOVA 6 Sample size.
The presence of unequal samples sizes has major implications in factorial designs that require care in choice of SS decomposition types eg Type I vs II vs III. Sample size 3 NONPARAMETRIC. ONE-WAY ANOVA 6 Sample size. If your data satisfies the 3 assumptions Normality equality of variance and independence you can run ANOVA.
