Updated
Using Central limit theorem calculator
Find the mean and standard error of a sampling distribution: SE = population SD/√n.
Requires independent, identically distributed observations with finite variance. These moments do not prove normality; the quality of a normal approximation depends on the population distribution and sample size.
A worked example
Example inputs: population standard deviation = 10, independent sample size = 25, population mean = 100. Standard error of sample mean = 2.
Before you use the result
Requires independent, identically distributed observations with finite variance. These moments do not prove normality; the quality of a normal approximation depends on the population distribution and sample size.
Example results for population standard deviation
These examples use Independent sample size: 25; Population mean: 100. They are reference calculations, not recommended settings.
| Population standard deviation | Standard error of sample mean |
|---|---|
| 5 | 1 |
| 10 | 2 |
| 20 | 4 |
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ToolOctopus. “Central limit theorem calculator.” Updated 2026-09-26. https://tooloctopus.com/central-limit-theorem-calculator.
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