Variance (Sample)

$sigma^2 = 1/(n-1)* sum_(i=1)^n(X_i -mu)^2$

$(X) "Data Set"$

Tags

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: $"Var"_"population" = 1/(N) * sum_(i=1)^n(X_i -mu)^2$

Inputs

Enter the values as a comma separated list. You can cut and paste the list of values.

Example

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

Variance (Sample)

Inputs

Example

See Also