Is The One Way Anova Test Robust

Is The One Way Anova Test Robust. Is the test robust. Published on march 6 2020 by rebecca bevans.

Plos One A Hybrid One Way Anova Approach For The Robust And Efficient Estimation Of Differential Gene Expression With Multiple Patterns from journals.plos.org

Anova is fairly robust in terms of the error rate when sample sizes are equal. This means that it tolerates violations to its normality assumption rather well. Published on march 6 2020 by rebecca bevans.

Is the test robust.

Select all that apply. The data are assumed to be symmetrically distributed apart from some outliers although the assumption of normality may be violated. In general a one way anova is considered to be fairly robust against violations of the equal variances assumption as long as each group has the same sample size. However if the sample sizes are not the same and this assumption is severely violated you could instead run a kruskal wallis test which is the non parametric version of the one way anova.