Sum of Squares of Individual Values in Measures of Dispersion Formulas

Sum of Squares of Individual Values is the sum of the squared differences between each data point and the mean of the dataset. And is denoted by Σx².

Measures of Dispersion formulas that make use of Sum of Squares of Individual Values

fxStandard Deviation given MeanGo

fxStandard Deviation of DataGo

fxVariance of DataGo

What is the Sum of Squares of Individual Values?

Sum of Squares of Individual Values is the sum of the squared differences between each data point and the mean of the dataset.

Can the Sum of Squares of Individual Values be negative?

{YesorNo}, the Sum of Squares of Individual Values, measured in {OutputVariableMeasurementName} {CanorCannot} be negative.

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