 random variables with expectation "μ" and variance "σ"2.If the sample mean and uncorrected sample variance are defined as

then "S"2 is a biased estimator of "σ"2, because
To continue, we note that by subtracting formula_15 from both sides of formula_16, we get
Meaning, (by cross-multiplication) formula_18.Then, the previous becomes