The variance (`sigma^2`) of a set of numbers is a measure of how spread out the values are. This equation takes inputs in the form of a comma-separated set of values.
This is a sample variance, so the divisor is N-1 instead of N (as used in a population variance).
Sample Variance: `"Var"_"sample" = 1/(N-1) * sum_(i=1)^n(X_i -mu)^2`
Population Variance: `"Var"_"population" = 1/(N) * sum_(i=1)^n(X_i -mu)^2`
Enter the values as a comma separated list. You can cut and paste the list of values.
The set of values might look like:
2.5, 6.4, 22.1, 33.43,43.8, 16, 2.2
If you cut and paste these values into the inputs for this Variance equation, you will get: 258.15974762