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Standard Deviation Calculator

Calculate the standard deviation, variance, and mean of any set of numbers.

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Your result

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How it works

About this calculator

Standard deviation tells you how spread out your data is — whether the numbers cluster around the average or scatter widely. It is one of the most important concepts in statistics. Our standard deviation calculator handles the math for any set of numbers you enter. Just type or paste comma-separated values and get the full statistical summary.

The formula, explained simply

We calculate the mean (average) of your numbers, then find the difference between each number and the mean, square those differences, average them (that is the variance), and take the square root to get the standard deviation. We also show the count of numbers, minimum, maximum, and range. The calculator uses the population standard deviation formula (dividing by n) rather than the sample formula (dividing by n-1).

When you would use this

Students complete statistics assignments and exam prep. Researchers analyze survey or experimental data. Quality control teams measure consistency in manufacturing. Investors assess the volatility of stock returns. Data analysts get a quick statistical snapshot of any dataset.

Frequently asked questions

What does standard deviation tell me?
It tells you how spread out your data is. A small standard deviation means numbers cluster near the mean. A large one means they are spread widely.
What is the difference between variance and standard deviation?
Variance is the average of squared differences from the mean. Standard deviation is the square root of variance. Standard deviation is in the same units as your data, making it easier to interpret.
What is a "good" standard deviation?
It depends on your context. In investing, higher standard deviation means higher risk. In manufacturing, lower means more consistent quality.
How is this different from a sample standard deviation?
This calculator uses population standard deviation (dividing by n). Sample standard deviation (dividing by n-1) is used when your data is a sample of a larger population.
How many numbers do I need?
At least 2 numbers are required to calculate a standard deviation. More numbers give more reliable results.

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