What Does An Anova Test Tell You. This brings us back to why we analyze variation to make judgments about means. In this anova the statistical test is used to determine the effect of two nominal predictor variables on a continuous outcome variable.
Anova determines whether the groups created by the levels of the independent variable are statistically different by calculating whether the means of the treatment levels are different from the overall mean of the dependent variable. In other words they help you to figure out if you need to reject the null hypothesis or accept the alternate hypothesis. Besides we use the anova table to display the results in tabular form.
This guide will provide a brief introduction to the one way anova including the assumptions of the test and when you should use this test.
This brings us back to why we analyze variation to make judgments about means. Examples of when you might want to test different groups. In this anova the statistical test is used to determine the effect of two nominal predictor variables on a continuous outcome variable. This guide will provide a brief introduction to the one way anova including the assumptions of the test and when you should use this test.