Sum of Squares of Individual Values in Measures of Central Tendency 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 Central Tendency formulas that make use of Sum of Squares of Individual Values

fxMean of Data given Standard DeviationGo

fxMean of Data given VarianceGo

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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