Sum of Squares Calculator

Paste numeric observations to calculate the mean, count, and total sum of squared deviations used by variance and standard-deviation formulas.

Dataset

—Sum of squared deviations from the mean

—Mean

—Count

SS = Σ(x − mean)²
Variance divides this total by n for a population or by n−1 for a sample.

Deviation ledger & variance bridge

Turn the sum of squares into an auditable row-by-row calculation, then connect it to population and sample variance.

—n

—Mean

—Σ(x − x̄)²

—Sample variance

#	x	x − mean	(x − mean)²

Sample variance divides by n−1; population variance divides by n.

Interpret statistical results in context

Use plots and descriptive summaries before formal tests. Check the sampling/design assumptions that matter for the chosen method, report effect size and uncertainty where available, and avoid treating a threshold such as p < .05 as proof of importance, causation, or truth. Browser calculations are educational/planning utilities, not domain-specific professional advice.

How to use this Sum of Squares Calculator

Paste numeric observations to calculate the mean, count, and total sum of squared deviations used by variance and standard-deviation formulas.