Data: 2, 4, 4, 4, 5, 5, 7, 9
- Input
- 2, 4, 4, 4, 5, 5, 7, 9
- Expected output
- σ² = 4 (pop.), s² ≈ 4.57 (amostral)
σ = 2, s ≈ 2.14.
calculate variance of a dataset
Variance is the square of standard deviation: σ² = Σ(xᵢ−μ)²/N (population) or s² = Σ(xᵢ−x̄)²/(N−1) (sample).
σ = 2, s ≈ 2.14.
Use the result as technical or educational support, keeping the tool limits explicit in the workflow.
Population (σ) divides the sum of squared differences by N. Sample (s) divides by N−1 (Bessel's correction), giving an unbiased estimate of population variance when working with a sample.
To prevent positive and negative deviations from cancelling (Σ(xᵢ−μ) = 0 always) and to penalize large deviations more.
No. It helps explain the scenario and use the tool more safely, but real decisions should consider official sources, full context and qualified guidance when needed.
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