This is often called the for Sxx and is derived as follows:
In statistics, represents the sum of the squared differences between each individual data point ( ) and the arithmetic mean ( ) of the dataset. Sxx Variance Formula
cap S x x equals sum of x squared minus the fraction with numerator open paren sum of x close paren squared and denominator n end-fraction sum of x squared Square every number first, then add them up. Add all the numbers first, then square the total. The total number of data points. Why is it useful? Sxx is the "numerator" for variance. If you want the actual Variance ( , you just divide Sxx by the degrees of freedom: This is often called the for Sxx and