📊 Standard Deviation Calculator

Calculate mean, median, mode, variance, standard deviation, and more for any dataset.

📊 Statistical Calculator

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What is the Standard Deviation Calculator?

This tool takes any list of numbers — pasted as comma- or space-separated values — and returns a full statistical summary: count, sum, mean, median, mode, range, minimum, maximum, and standard deviation and variance calculated both ways (population σ and sample s). It removes the need to compute these by hand or juggle a separate formula for each one.

How to Use It

Paste or type your numbers into the box, separated by commas, spaces, or line breaks, then click Calculate. The results panel fills in every statistic at once. Use Clear to reset the box and start over with a new dataset.

When to Use It

Use it when analyzing survey results, test scores, lab measurements, financial returns, or any dataset where you need to know not just the average but how consistent or spread out the values are. Choose the sample statistics (s, variance sample) when your numbers are a subset of a larger population, and the population statistics (σ, variance population) when your dataset is the entire population.

Who Benefits

Students checking statistics homework, teachers grading on a curve, researchers summarizing experimental data, analysts assessing volatility or consistency in a dataset, and quality-control staff tracking manufacturing measurements all get instant, accurate results without setting up a spreadsheet formula.

Frequently Asked Questions

Use population standard deviation (σ) when your numbers represent the entire group you care about — every student in a class, every unit produced in a batch. Use sample standard deviation (s) when your data is just a subset drawn from a larger population; it divides by n−1 instead of n to correct for bias. When in doubt, use the sample statistic — it's the more common choice.
Variance is the average of the squared differences from the mean; standard deviation is simply the square root of variance. Standard deviation is easier to interpret because it's expressed in the same units as your original data, while variance is in squared units — useful in further statistical calculations but harder to read directly.
The mode is the most frequently occurring value in your dataset. If every number appears exactly once, there is no repeated value, so the calculator reports "No mode." If two or more values tie for the highest frequency, it lists all of them as the mode.