This page covers the key assumptions of ANOVA, emphasizing the importance of normality of error terms, homogeneity of variances, and additivity of effects. It discusses methods for testing variances l...This page covers the key assumptions of ANOVA, emphasizing the importance of normality of error terms, homogeneity of variances, and additivity of effects. It discusses methods for testing variances like Bartlett's Test, highlights data transformation options, and provides practical examples related to gamagrass seed treatments.