Enter the complete dataset.
Standard Deviation Calculator
Calculate mean, population variance and standard deviation, plus sample variance and standard deviation for a numeric dataset.
Enter your values
Use the example values or replace them with your own. Required validation happens before the calculation.
Result
How to use the Standard Deviation Calculator
Follow these steps to get a reliable result and understand how it was produced.
Find the mean and squared deviations.
Divide by N or n−1, then take the square root.
Understanding the calculation
Standard deviation measures typical spread around the mean. Sample formulas use n−1 to estimate population variability from a sample.
Population σ = √[Σ(x−μ)²/N]; sample s = √[Σ(x−x̄)²/(n−1)]The result panel substitutes your numbers into this relationship and shows the important intermediate values.
Common uses
- Quality control and measurement spread
- Exam and survey data
- Comparing consistency between datasets
Accuracy tips
- Use population SD when the data is the full population.
- Use sample SD when estimating from a sample.
- At least two values are required for sample variance.
Standard Deviation Calculator FAQs
Important details about formulas, inputs, limitations, and result interpretation.
What does a small standard deviation mean?
Values are clustered relatively close to the mean.
Why are sample and population results different?
The sample formula divides by n−1 to reduce estimation bias.
Can standard deviation be negative?
No. It is a square root of variance and is always non-negative.
Does data order matter?
No. Reordering the same values does not change the result.