The sum of squares is a statistical measure that quantifies the total variation within a dataset by calculating the squared differences between each data point and the mean of the dataset. This concept is crucial in various statistical analyses, as it helps assess how much variability exists, which can influence the results of tests comparing means or distributions.
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