Last Updated: April 12, 2026

Standard Deviation Calculator

Enter comma-separated numbers to calculate mean, variance, and standard deviation.

Results

Count (N)
Sum
Mean (x̄)
Median
Range
Population Variance (σ²)
Population Std Dev (σ)
Sample Variance (s²)
Sample Std Dev (s)

What Is Standard Deviation?

Standard deviation measures how spread out a set of numbers is from the average (mean). A small standard deviation means the values are clustered close to the mean, while a large standard deviation indicates the values are more spread out.

Population vs. Sample Standard Deviation

TypeSymbolDivides byUse When
PopulationσNYou have data for the entire population
SamplesN − 1You have a sample from a larger population

Step-by-Step Calculation

  1. Find the mean (average) of the data set.
  2. Subtract the mean from each data point and square the result.
  3. Find the average of those squared differences (variance).
  4. Take the square root of the variance to get the standard deviation.

Frequently Asked Questions

What is standard deviation?

It measures how spread out data points are from the mean. Low = clustered; high = spread out.

Population vs. sample standard deviation?

Population divides by N; sample divides by N−1 to correct for bias in subsets.

How do you calculate variance?

Average of squared differences from the mean. Variance = σ² or s².

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