SST

SST, or Sum of Squares for Total, is a statistical measure used in analysis of variance (ANOVA) that quantifies the total variation observed in a dataset. It reflects how much individual data points differ from the overall average. Essentially, SST helps determine the extent of variability within the data, serving as a baseline to compare against other sources of variation, such as differences between groups. By understanding SST, researchers can assess whether observed differences are significant or just due to random variation, aiding in making informed conclusions about the data’s underlying patterns.