The sum of squares for treatments (SST)is the variation attributed to the differences between the treatment means,while the sum of squares for error (SSE)measures the within-treatment variation.

Sum Squares Treatments (SST)

A measure used in statistics, especially in analysis of variance (ANOVA), to quantify the variability among group means in an experiment.

Sum Squares Error (SSE)

A measure of the discrepancy between the data and an estimation model, calculated as the sum of the squared differences between each observation and its group's mean.