Pooled Standard Deviation Calculator
Calculate pooled standard deviation from two or more datasets using weighted sample variances.
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.