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Standard Deviation Calculator

Measure the statistical dispersion and spread of data around the mean with sample and population standard deviation.

Formula & Mathematical Methodology

s = √(Σ(x − x̄)² ÷ (n − 1))

Find the mean, sum the squared deviations from the mean, divide by n-1 (for sample) or N (for population), and take the square root.

How to Use This Standard Deviation Calculator

  1. Enter numbers separated by commas.
  2. Select sample or population.
  3. Click Calculate for standard deviation and variance.

Step-by-Step Worked Example

Scenario: 10, 12, 23, 23, 16, 23, 21, 16

1. Calculate mean = 18
2. Sum squared diffs = 176
3. Divide by n - 1 (7) = 25.14 variance
4. Take square root = 5.01
Final Calculated Result: 5.0143

What Does Your Result Mean?

A low standard deviation indicates values cluster tightly near the mean; high deviation indicates broad variability.

Common Practical Applications:

  • Financial risk assessment (volatility)
  • Quality control in manufacturing
  • Scientific experiment repeatability

Important Limitations & Assumptions:

  • Sample standard deviation requires at least 2 observations.

Frequently Asked Questions

What is Bessel’s correction?

Using n-1 in the denominator instead of n compensates for bias when estimating population variance from a sample.