Standard Deviation Calculator

Compute sample standard deviation (s), population standard deviation (σ), variance, mean, median, standard error of the mean (SEM), sum of squares, and 95% confidence intervals from any dataset.

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Sample Std Dev (s)
7.8638
Sample Variance (s²): 61.8393
Population Std Dev (σ)
7.3559
Population Variance (σ²): 54.1094
Mean (Average μ)
23.1250
Count (N): 8 · Sum: 185.00
Median: 23.5000
Min / Max: 12 / 35
Range: 23.0000
Std Error (SEM): 2.7803
Sum of Squares Σ(x−μ)²: 432.8750
95% CI (±1.96 SEM): 17.68 to 28.57

About the Standard Deviation Calculator

Standard deviation measures the degree of dispersion or variability of a data set relative to its arithmetic mean. A low standard deviation indicates that data points cluster tightly around the average, whereas a high standard deviation demonstrates wide variation and spread across a broader range.

Statistical analysis distinguishes between Population Standard Deviation (σ, used when every member of an entire dataset is measured, dividing by N) and Sample Standard Deviation (s, used when inferring population traits from a subset, dividing by N - 1 using Bessel's correction). The calculator computes both values, along with the mean, variance, count, and sum of squares.

In a standard Gaussian normal distribution, the Empirical Rule establishes that approximately 68.2% of data points fall within one standard deviation of the mean, 95.4% within two standard deviations, and 99.7% within three standard deviations.

Worked example: Sample standard deviation

For the dataset [4, 8, 6, 5, 3, 7]: The mean is (4+8+6+5+3+7) ÷ 6 = 5.5. The squared deviations from the mean are [2.25, 6.25, 0.25, 0.25, 6.25, 2.25], summing to 17.5. Dividing by (N - 1 = 5) gives a sample variance of 3.5. Taking the square root yields a sample standard deviation of approximately 1.87.

Tips for best results

  • Use sample standard deviation (N - 1) for experimental, survey, or research data where you are analyzing a representative sample of a larger population.
  • Remember that standard deviation is sensitive to extreme outliers; if your data is heavily skewed, report the median and interquartile range (IQR) alongside standard deviation.
  • Variance is simply the standard deviation squared; standard deviation is generally preferred for interpretation because it is expressed in the original units of measurement.

How to use the Standard Deviation Calculator

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Why use Toolseza for Standard Deviation Calculator?

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Use this tool as often as you need with no paywalls, premium tiers, or hidden daily calculation quotas.

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Works natively on smartphones, tablets, laptops, and desktop computers with zero installation or account creation.

Editorial Standards & Verification: All formulas, algorithms, and conversion factors implemented on Toolseza adhere to openly documented international standards (ISO, NIST, BIPM, W3C). Results are verified against benchmark reference datasets before publication.

Frequently Asked Questions

Should I use sample (s) or population (σ) standard deviation?

Use Sample Standard Deviation (dividing by N−1) when your numbers represent a sample of a larger group. Use Population Standard Deviation (dividing by N) when you have data for every member of the group.

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