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Standard Deviation Calculator

Standard Deviation Calculator - a browser-based student tools utility.

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About Standard Deviation Calculator

Standard deviation says how spread out a set of numbers is around its mean. The one decision that changes the answer is whether your numbers are the whole population or a sample drawn from one, and this asks rather than guessing. Free online, no login wall anywhere. Your data set is analysed right here and goes nowhere afterwards.

How to use it

  1. Enter the dataPaste a column, a comma-separated list, or type the values in.
  2. Choose sample or populationSample if these are some of the possible observations, population if they are all of them. The calculator shows both so the difference is visible.
  3. Read the workingThe mean, the squared deviations and the variance are shown as well as the final figure, which is what makes the result checkable against a worked example.

Why sample and population differ

The sample formula divides by n − 1 rather than n. A sample mean sits, by construction, in the middle of its own data, so deviations measured from it are slightly smaller than deviations from the true population mean would be. Dividing by n − 1 — Bessel’s correction — compensates for that bias. The difference is negligible for large n and substantial for small n, which is exactly when people get it wrong.

What it does not do

  • Standard deviation assumes spread around a mean is a sensible description. For a strongly skewed or bimodal set it is a number that hides the shape rather than reporting it; look at the distribution too.
  • It is in the same units as your data, so it cannot be compared between data sets measured in different units. The coefficient of variation is the comparable figure.

Questions people ask

Should I use sample or population?
Population only when your numbers are literally every member of the group you are describing — every pupil in one class, for instance. If they are a subset you intend to generalise from, use sample.
What is the difference between variance and standard deviation?
Variance is the mean of the squared deviations; standard deviation is its square root. Variance is easier to work with algebraically, standard deviation is easier to interpret because it is in the original units.

Questions about ToolsVerse itself — privacy, cost, what happens to your files — are answered in the frequently asked questions.

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