Standard Deviation Calculator

Our free standard deviation calculator computes a complete statistical summary from any data set. Enter your numbers (comma or space separated) and instantly get the standard deviation, variance, mean, median, mode, range, count, sum, minimum, and maximum. Both population (σ) and sample (s) standard deviation are supported.

Standard deviation is a fundamental statistical measure that tells you how spread out the values in a data set are from the mean (average). A low standard deviation means values are clustered closely around the mean, while a high standard deviation means values are more spread out. This calculator is designed for students, researchers, scientists, and data analysts.

📊 Standard Deviation Calculator

📊 Statistics Summary

Mean (Average)
Median
Mode
Variance
Range
Count (n)
Sum
Min
Max

How to Use the Standard Deviation Calculator

Calculating standard deviation is simple with our tool:

When Should You Use a Standard Deviation Calculator?

Use the standard deviation calculator whenever you need to understand the variability or dispersion in a data set. In particular, it is essential for statistics coursework, data analysis, quality control, and scientific research. Furthermore, teachers use it to analyse class performance and investors use it to measure investment volatility.

Additionally, understanding standard deviation is critical for interpreting normal distributions, bell curves, and probability. In finance, standard deviation is the primary measure of investment risk — a higher standard deviation indicates more volatile returns. Moreover, in manufacturing and quality control, a small standard deviation indicates a consistent, reliable process.

Understanding Your Statistical Results

Here is what each statistical measure tells you:

Frequently Asked Questions About the Standard Deviation Calculator

Use population standard deviation (σ) when your data includes every member of the group you are studying. Use sample standard deviation (s) — which is more common — when your data is a subset drawn from a larger population. Sample SD divides by (n-1) instead of n to correct for bias.

A standard deviation of 0 means all values in the data set are identical. There is no variation whatsoever in the data.

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