Squared Deviations - Sample Variance

Sample Variance

The sum of squared deviations needed to calculate variance (before deciding whether to divide by n or n − 1) is most easily calculated as

From the two derived expectations above the expected value of this sum is

which implies

This effectively proves the use of the divisor n − 1 in the calculation of an unbiased sample estimate of σ2.

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