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Standard Deviation Calculator (2026) – Shows Work, Grades

Free Standard Deviation Calculator to calculate sample and population SD, variance, and mean with fast and accurate results.

Calculate Standard Deviation

📖 How to Use the Standard Deviation Calculator

  1. Enter your data set values separated by commas or spaces
  2. Choose between population or sample standard deviation
  3. Click Calculate to see the standard deviation and variance
  4. Review the detailed statistical breakdown provided

🔢 Standard Deviation Formula

Standard deviation measures the amount of variation in a set of values.

Sample Standard Deviation: s = √[Σ(x - x̄)² / (n - 1)]

Population Standard Deviation: σ = √[Σ(x - x̄)² / n]

Where: x̄ = mean, x = each value, n = number of values

✨ Key Features of the Standard Deviation Calculator

  • Calculate both population and sample standard deviation
  • Compute variance alongside standard deviation
  • Display mean, median, and range
  • Support for large data sets
  • Visual representation of data distribution

🎯 Benefits of Using the Standard Deviation Calculator

  • Essential tool for statistical analysis
  • Perfect for students and researchers
  • Quick quality control in manufacturing
  • Analyze data variability efficiently
  • Make informed decisions based on data spread

Frequently Asked Questions (FAQ)

What is the difference between population and sample standard deviation?

Population standard deviation is used when you have data for an entire population, while sample standard deviation is used for a subset of data representing a larger population.

How many data points do I need?

You need at least two data points to calculate standard deviation, but more data points provide more accurate results.

What does a high standard deviation mean?

A high standard deviation indicates that data points are spread out over a wider range of values, showing more variability in your data set.

Can I use decimal numbers?

Yes, the calculator accepts decimal numbers and provides precise calculations for any numerical data set.

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