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Both calculators run independently — change the inputs on either side to compare results.
Statistics
Variance Calculator
Compute population or sample variance from the sum of squared deviations and the sample size. The fundamental measure of how spread out a dataset is around its mean, and the building block of standard deviation, ANOVA, and most parametric inference.
Fill in the required fields to see your result.
Statistics
Standard Error Calculator
Compute the standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic.
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Key differences
| Variance Calculator | Standard Error Calculator | |
|---|---|---|
| Category | Statistics | Statistics |
| Inputs required | 3 | 2 |
| Result | Variance | Standard Error |
| What it does | Compute population or sample variance from the sum of squared deviations and the sample size. The fundamental measure of how spread out a dataset is around its mean, and the building block of standard deviation, ANOVA, and most parametric inference. | Compute the standard error of the mean (SEM) from the sample standard deviation and sample size, SEM = s/√n. Quantifies how precisely a sample mean estimates the underlying population mean — the foundation of confidence intervals, t-tests, and any inferential statistic. |