One Way Anova Test Assumptions. The levene test is not significant. 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.
Equal variances the variances of the populations that the samples come from are equal. How do we save our anova test in a situation where the homogeneity of variance assumption is violated. 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.
If the observations are not independent then the one way anova is an inappropriate statistic.
Assumptions mean that your data must satisfy certain properties in order for statistical method results to be accurate. Anova assumes that the variances of the distributions in the populations are equal. 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.
