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Standard Deviation Calculator

Enter a data set to get its standard deviation — both the sample version (dividing by n − 1) and the population version (dividing by n) — together with the mean, the variances, the sum of squared deviations and the standard error of the mean.

Quick examples

Separate values with commas, spaces or new lines.

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Sample standard deviation (s)2.1381

Divides by n − 1. Use when your data is a sample of a larger group.

Population standard deviation (σ)
2
Mean
5
Count (n)
8
Sample variance (s²)
4.5714
Population variance (σ²)
4
Sum of squared deviations
32
Standard error of the mean
0.7559

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      Formula

      Mean x̄ = Σx ÷ n
      Sample standard deviation s = √( Σ(x − x̄)² ÷ (n − 1) )
      Population standard deviation σ = √( Σ(x − x̄)² ÷ n )
      Standard error of the mean = s ÷ √n

      How to use it

      1. Type or paste your data, separated by commas, spaces or new lines.
      2. Decide whether the data is a sample or a whole population (see below).
      3. Read the matching standard deviation.

      Worked examples

      The data set 2, 4, 4, 4, 5, 5, 7, 9

      Sample standard deviation (s)
      2.1381
      Population standard deviation (σ)
      2
      Mean
      5
      Count (n)
      8
      Sample variance (s²)
      4.5714
      Population variance (σ²)
      4
      Sum of squared deviations
      32

      The data set 10, 12, 23, 23, 16, 23, 21, 16

      Sample standard deviation (s)
      5.2372
      Population standard deviation (σ)
      4.899
      Mean
      18
      Sum of squared deviations
      192

      Sample or population?

      Use the population formula when your data is every member of the group you care about — the test scores of everyone in one class, say. Use the sample formula when the data is a subset used to estimate a larger group, such as 50 surveyed customers out of thousands.

      Dividing by n − 1 instead of n (Bessel’s correction) makes up for the fact that a sample tends to be less spread out than the population it came from. If in doubt, the sample version is the usual default. In Excel and Google Sheets these are STDEV.S and STDEV.P.

      A worked example

      For 2, 4, 4, 4, 5, 5, 7, 9 the mean is 5. The squared deviations are 9, 1, 1, 1, 0, 0, 4 and 16, which add up to 32. Dividing by 8 gives a population variance of 4 and a standard deviation of 2. Dividing by 7 gives a sample variance of 4.571 and a standard deviation of 2.138.

      Reading the number

      For data that is roughly bell-shaped, about 68% of values fall within one standard deviation of the mean, about 95% within two and about 99.7% within three.

      Questions people ask

      What is the standard deviation of 2, 4, 4, 4, 5, 5, 7, 9?

      The population standard deviation is exactly 2; the sample standard deviation is 2.138.

      Should I use sample or population standard deviation?

      Use population (divide by n) only when you have data for the entire group. For a sample drawn from a larger group, use the sample formula (divide by n − 1).

      Can standard deviation be negative?

      No. It is a square root, so it is zero or positive. It is zero only when every value is the same.

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