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Standard Deviation Calculator

Mean, variance, and population/sample standard deviation for any data set.

Example data:

Sample SD (s)

Population SD (σ)

Mean

Variance

Count

Sum

Standard deviation
σ = √( Σ(xᵢ − μ)² ÷ N )

Population SD divides by N; sample SD (s) divides by N − 1 (Bessel's correction) to avoid underestimating spread when you only have a sample. Here μ is the mean and xᵢ each value. Use sample SD when your data is a subset of a larger group.

Measuring spread

Standard deviation quantifies how much a data set varies around its mean. The steps are: find the mean, sum the squared differences from the mean, divide to get the variance, then take the square root.

Use population standard deviation when your numbers represent an entire population, and sample standard deviation (with Bessel's N − 1 correction) when they are a sample. This tool reports both, plus the mean, variance, count, and sum.

Frequently Asked Questions

What is standard deviation? +

Standard deviation measures how spread out a data set is around its mean. A small value means values cluster near the mean; a large value means they are more dispersed.

Population vs sample — which do I use? +

Use population SD (divide by N) when your data is the entire population. Use sample SD (divide by N − 1, Bessel's correction) when your data is a sample drawn from a larger population.

What is variance? +

Variance is the average of the squared deviations from the mean. Standard deviation is the square root of variance.

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