One Way Anova Test Assumptions. The levene test is not significant. Anova which stands for analysis of variance is a statistical test used to analyze the difference between the means of more than two groups.
If the observations are not independent then the one way anova is an inappropriate statistic. 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. Assumption of homogeneity of variance.
Normality that each sample is taken from a normally distributed population sample independence that each sample has been drawn independently of the other samples variance equality that the variance of data in the different groups should be the same.
The motivation for performing a one way anova. Assumption of homogeneity of variance. Equal variances the variances of the populations that the samples come from are equal. A one way anova uses one independent variable while a two way anova uses two independent variables.
