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Standard Deviation Calculator

Calculate standard deviation for sample and population data with steps.

The Standard Deviation Calculator computes how spread out your data is from the mean. It supports both sample and population standard deviation with detailed step-by-step solutions.

  1. Enter your numbers in the input field
  2. Choose between Sample (n-1) or Population (n) mode
  3. The standard deviation is calculated automatically
  4. Click "Show Steps" to see the detailed calculation process
  • Both sample (s) and population (σ) standard deviation
  • Step-by-step calculation with squared differences
  • Toggle between sample and population modes
  • Adjustable decimal precision
  • Summary panel showing all related statistics
When should I use sample vs population?
Use sample (n-1) when your data is a subset of a larger group. Use population (n) when you have data for the entire group.
Why does sample std dev divide by n-1?
Dividing by n-1 (Bessel's correction) gives an unbiased estimate of the population variance when working with a sample.
What does a standard deviation of 0 mean?
A standard deviation of 0 means all values in the dataset are identical.
Enter Data
Data Type
Decimals
Arithmetic Mean
-
x̄ = (Σxᵢ) / n
Median
-
Middle value of sorted data
Mode
-
Most frequent value(s)
Sample Standard Deviation
-
s = √[Σ(xᵢ - x̄)² / (n - 1)]
Sample Variance
-
s² = Σ(xᵢ - x̄)² / (n - 1)
Summary Statistics
Count -
Sum -
Min -
Max -
Range -
Mean -
Median -
Mode -
Std Dev (S) -
Std Dev (P) -
Variance (S) -
Variance (P) -
Q1 -
Q2 -
Q3 -
IQR -
Sample (s): divides by n - 1 (Bessel's correction) for unbiased estimate
Population (σ): divides by n when you have the entire dataset
Standard deviation measures how spread out the data is from the mean
Want to learn more? Read documentation →
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