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Pooled Standard Deviation Calculator

Calculate pooled standard deviation from two or more datasets using weighted sample variances.

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What Is Pooled Standard Deviation?

Pooled standard deviation combines sample standard deviations from two or more groups into one overall measure of spread. It is used in two-sample t-tests, meta-analysis, and effect size calculations such as Cohen's d. Related tools: Standard Deviation Calculator and Cohen's d Calculator.

Pooled Standard Deviation Formula

$$s_{pooled} = \sqrt{\frac{(n_1 - 1)s_1^2 + (n_2 - 1)s_2^2}{n_1 + n_2 - 2}}$$

Each group contributes its sample variance weighted by its degrees of freedom ($n - 1$). The result estimates the common population standard deviation when group variances are assumed equal.

Example

For datasets [5, 7, 9, 11, 13] and [4, 6, 8, 10, 12], each group has sample variance 10 and size 5. The pooled standard deviation is $\sqrt{10} \approx 3.162$.

Frequently Asked Questions

When should I pool standard deviations?

Pool when comparing groups that share a similar spread and you want one combined estimate for inference or effect size.

What if group variances differ a lot?

Large differences may violate the equal-variance assumption. Consider Welch's t-test or separate standard deviations instead.

Can I use more than two datasets?

Yes. Extend the formula by summing $(n_i - 1)s_i^2$ across all groups and dividing by total degrees of freedom.

How many values do I need per group?

Each group needs at least two values to compute a sample variance.