Standard Deviation Calculator

Enter a list of numbers to calculate the mean, variance, and standard deviation — a measure of how spread out the values are from the average.

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What is the Standard Deviation Calculator?

Standard deviation tells you how spread out a set of numbers is around their average. A low standard deviation means most values sit close to the mean; a high one means the values are scattered widely — which is why it's widely used as a measure of consistency in academic scores, quality control, and as a proxy for risk or volatility in investment returns.

How to Calculate

Enter your list of numbers, then choose whether they represent an entire population or a sample drawn from a larger one — use population standard deviation when your numbers are literally everything you care about (e.g. every student in one class), and sample standard deviation when they're a subset you're using to estimate a bigger group (e.g. a survey sample). The calculator finds the mean, measures how far each number is from it, and averages those squared distances before taking the square root.

Formula

Population: σ = √( Σ(x−μ)2 / n )

Sample: s = √( Σ(x−x̄)2 / (n−1) )

Use population SD when your numbers are the entire group you care about; use sample SD when your numbers are a sample drawn from a larger population you're trying to estimate.

Worked Example

For the dataset [2, 4, 4, 4, 5, 5, 7, 9]: mean = 5, population standard deviation = 2.

How to Use

  1. Enter your numbers separated by commas or spaces.
  2. Choose population or sample standard deviation.
  3. Read the mean, variance, and standard deviation instantly.

Frequently Asked Questions

Why does sample SD divide by (n-1) instead of n?
This is Bessel's correction u2014 dividing by (n-1) instead of n corrects for the bias that occurs when estimating a population's variance from a smaller sample, giving a less biased estimate.
What does a high standard deviation mean?
It means your data points are, on average, further from the mean u2014 the dataset is more spread out or volatile. A low standard deviation means the values cluster tightly around the mean.
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