Pooled Standard Deviation Calculator

Enter the sizes and standard deviations of two samples.

How it is calculated

You enter the size n and the sample standard deviation s of two groups. The pooled variance weights each group's variance by its degrees of freedom, n − 1: sp² = ((n1 − 1)s1² + (n2 − 1)s2²) ÷ (n1 + n2 − 2). The pooled standard deviation is its square root, sp, in the same unit as the data. Both are rounded to two decimals. Each size must be a whole number of at least 2 (a size such as 20.5, or 1, gives no result), and a negative standard deviation gives no result; a standard deviation of 0 is accepted. The inputs must be sample standard deviations (divisor n − 1), not population ones. Pooling assumes the two groups have similar spread, so a large difference between s1 and s2 means the pooled figure may not describe either group well.

Worked example

Group 1 has 20 observations with s = 4.5. Group 2 has 30 observations with s = 5.2. Group 1 contributes 19 × 4.5² = 19 × 20.25 = 384.75. Group 2 contributes 29 × 5.2² = 29 × 27.04 = 784.16. The sum is 1,168.91 and the degrees of freedom are 20 + 30 − 2 = 48. Pooled variance: 1168.91 ÷ 48 = 24.35. Pooled standard deviation: √24.35 = 4.93. Result: 4.93, with pooled variance 24.35. This lies between the two sample values, closer to 5.2 because group 2 is larger.

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Common mistakes

  • Averaging the two standard deviations. A simple mean of 4.5 and 5.2 is 4.85, but the pooled value is 4.93 because group 2 has more observations and counts for more.
  • Entering variances instead of standard deviations. The fields expect s, not s², so a variance of 20.25 typed in place of 4.5 gives a far larger pooled value.
  • Entering a population standard deviation (divisor n). The formula assumes the sample version with divisor n − 1.
  • Typing a group total or a fractional size as n. The size is the number of observations in each group, a whole number of at least 2; anything else shows no result.
  • Pooling groups with very different spreads. If s1 is several times s2, the equal-variance assumption behind the pooled figure is doubtful.

About this calculator

The pooled standard deviation combines the variability of two separate samples into a single, shared estimate of spread, weighting each sample's variance by its degrees of freedom (sample size minus one) rather than simply averaging the two standard deviations together. This weighting means a larger sample has proportionally more influence on the pooled figure than a smaller one.

Statisticians rely on the pooled standard deviation specifically for the independent-samples t-test when the two groups are assumed to have equal population variances (the “Student's t-test” as opposed to Welch's t-test), and it's also the denominator used when computing standardised effect sizes like Cohen's d, which measures how far apart two group means are in units of shared standard deviation.

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