The Means procedure is useful for both description and analysis of scale variables. Using its descriptive features, you can request a variety of statistics to characterize the central tendency and dispersion of your test variables. Any number of grouping variables can be layered, or stratified into cells that precisely define your comparison groups. Using its hypothesis testing features, you can test for differences between group means using one-way ANOVA. The one-way ANOVA in Means provides you with linearity tests and association measures to help you understand the structure and strength of the relationship between the groups and their means.