Between Subjects Anova Assumptions. This means that it tolerates violations to its normality assumption rather well. The factorial ANOVA has several assumptions that need to be fulfilled 1 interval data of the dependent variable 2 normality 3 homoscedasticity and 4 no multicollinearity.
Separate ANOVA by gender are options. Walruses weigh the same in different months The alternative hypothesis H1 is that there is a difference between. If your study fails this assumption you will need to use another statistical test instead of the two-way ANOVA eg a repeated measures design.
Repeated Measures ANOVA - Assumptions.
For the next set of questions determine if assumptions have been violated and if a between-subjects one-way ANOVA can be completed. Separate ANOVA by gender are options. However very different sample means are unlikely if population means are equal. Equal Variances The variances of the populations that the samples come from are equal.
