Standard Deviation Calculator

Find the sample or population standard deviation of a data set, with the mean, variance, and squared-deviation steps used on paper.

Quick AnswerStandard deviation is the square root of the average squared distance from the mean. For 4, 8, 15, 16, 23, 42 the mean is 18, the sample standard deviation is 13.4907375632, and the population value is 12.3153021346.
s = 13.4907375632

Separate numbers with commas, spaces, or new lines. Decimals and negatives are allowed.






Sample uses n − 1. That is the usual classroom choice when the numbers are a sample, not a full population.


Standard deviation
13.4907375632

Sample s = 13.4907375632

Mean18
Sum of squares910
Variance182
Other form12.3153021346 (σ)
Count6




Steps

  1. Count the values and find the mean: n = 6, sum = 108, mean = 108 / 6 = 18.
  2. (4 − 18)² = −14² = 196.
  3. (8 − 18)² = −10² = 100.
  4. (15 − 18)² = −3² = 9.
  5. (16 − 18)² = −2² = 4.
  6. (23 − 18)² = 5² = 25.
  7. (42 − 18)² = 24² = 576.
  8. Sum of squared deviations = 910.
  9. Variance = 910 / n − 1 = 910 / 5 = 182.
  10. s = √182 = 13.4907375632.

Rate This Tool

Your feedback helps us improve SolverCalc.

No public ratings yet






Select a star to save your rating on this device.

Embed Standard Deviation Calculator

Copy this iframe code into a page that permits embeds.


All calculations run locally in your browser. Your entered values are not sent to an external service.

How to Use the Standard Deviation Calculator

Paste your numbers, choose sample or population, then select Calculate. The tool shows the standard deviation, the matching variance, the mean, and each squared deviation used on paper.

  1. Enter the data set. Commas, spaces, and new lines all work.
  2. Choose Sample (n − 1) or Population (n). Reset restores the six-value sample example.
  3. Read the steps to see the mean, the sum of squares, the divisor, and the square root.

The Mean, Median, Mode Calculator on SolverCalc already reports a population standard deviation as a side metric. This page is only about spread: it compares s and σ and writes the substitution steps. Standardizing one score with a known μ and σ belongs on the Z-Score Calculator. Reading that z as a left-tail percentile belongs on the Percentile Calculator.

Sample vs. Population

s = √(Σ(x − x̄)² / (n − 1))  ·  σ = √(Σ(x − μ)² / n)

Both formulas start the same way. Find the mean, subtract it from each value, square those differences, and add them. That sum of squares is SS. The last two steps differ: a sample divides SS by n − 1, then takes the square root. A population divides by n.

Dividing a sample by n − 1 is Bessel’s correction. It keeps s from systematically underestimating the spread of the larger group the sample came from. The variance is the quantity under the square root: s² or σ².

Standard Deviation Examples

The six-value classroom set

For 4, 8, 15, 16, 23, 42 the mean is 18 and SS = 196 + 100 + 9 + 4 + 25 + 576 = 910. Sample variance is 910 / 5 = 182, so s = √182 = 13.4907375632. Population variance is 910 / 6, so σ = 12.3153021346. That population value is the side metric on the Mean, Median, Mode Calculator.

Every value the same

For 5, 5, 5, 5 the mean is 5 and every deviation is 0, so both s and σ are 0. Spread is zero only when the list does not vary.

Two values

For 2 and 8 the mean is 5 and SS = 18. The sample standard deviation is √18 = 4.24264068712. The population value is √9 = 3.

A single number

One value has no sample standard deviation, because n − 1 would be 0. The population value is 0: that lone number is the whole population and does not vary.

Test scores

For 90, 85, 78, 92, 88, 76, 95 the mean is about 86.29 and the sample standard deviation is 7.08788369248. The scores sit a few points from the mean, not tens of points.

When to Use Sample or Population

Use the population formula when the list is the entire group you care about: every score in one class, every day in a short experiment you will not generalize. Use the sample formula when the list stands in for a larger group: a survey, a homework “sample of size n,” or any set you will treat as evidence about more data.

This page does not compute a confidence interval, a z-table, or a weighted standard deviation. For z = (x − μ) / σ from a single score, use the Z-Score Calculator. It is educational, not a professional statistics package.

Common Standard Deviation Mistakes

Using n when the problem asked for n − 1

A homework “sample” almost always wants s. Using n gives a smaller number, here 12.32 instead of 13.49 on the six-value set.

Forgetting to square the deviations

The deviations themselves add to zero. Squaring makes every gap positive before you average them.

Stopping at variance

Variance is in squared units. Standard deviation is the square root, so it is back in the original units.

Calling range a substitute for standard deviation

Range uses only the two extremes. Standard deviation uses every value. A single outlier moves both, but not by the same amount.

Asking for a sample value from one number

n − 1 = 0 is undefined. Enter a second value or switch to the population formula.

Standard Deviation FAQs

What is the difference between s and σ?

s is the sample standard deviation and divides by n − 1. σ is the population standard deviation and divides by n.

What is the sample standard deviation of 4, 8, 15, 16, 23, 42?

13.4907375632, because SS = 910 and 910 / 5 = 182.

What is the population standard deviation of that same set?

12.3153021346, because 910 is divided by 6 instead of 5.

Can standard deviation be zero?

Yes, when every value equals the mean. The All equal preset shows this.

Does this find the mean, median, and mode?

It reports the mean because the formula needs it. For median and mode, use the Mean, Median, Mode Calculator.

Are my numbers sent to a server?

No. The calculation runs locally in your browser.

Related Calculators

Explore More Statistics Tools

Continue with averages, spread, and everyday statistics tools in the SolverCalc collection.

Browse Statistics & Probability

Reviewed by Prof. Dr. Khalil Mudassar (PhD) · Last updated: [mc_modified_date]

Sources

View references

Disclaimer

This calculator is for general educational use. It reports unweighted sample and population standard deviation only. It is not a substitute for a statistics package or professional analysis.