One Way Anova Test Assumptions. What are the assumptions of a one way anova. Lets go through the options as above.
There are two tests that you can run that are applicable when the assumption of homogeneity of variances has been. Equal variances the variances of the populations that the samples come from are equal. Typically a one way anova is used when you have three or more categorical independent groups but it can be used for just two groups but an independent samples t test is more commonly used for two groups.
Assumptions for the one way anova every statistical method has assumptions.
The one way anova is also sometimes called the one way anova f test anova or analysis of variance. Remember the purpose of the anova test is to determine the plausability of the null hypothesis where the null hypothesis says that all observations come from the same underlying group with the same degree of variability. If the observations are not independent then the one way anova is an inappropriate statistic. Your independent variable should consist of two or more categorical independent groups.
