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Standard Deviation Calculator

Calculate standard deviation, variance, mean, and more from your data set. Supports both population and sample calculations.

Population SD (ฯƒ)

2.0000

Sample SD (s)

2.1602

Mean

6.0000

Count

7

Population Variance

4.0000

Sample Variance

4.6667

Formula

ฯƒ = โˆš(ฮฃ(xแตข - ฮผ)ยฒ / N) for population โ€” s = โˆš(ฮฃ(xแตข - xฬ„)ยฒ / (n-1)) for sample

Understanding Standard Deviation

Standard deviation measures the amount of variation in a data set. A low standard deviation means data points tend to be close to the mean, while a high standard deviation indicates the data is spread out over a wider range.

The 68-95-99.7 Rule

For normal distributions: ~68% of data falls within 1 SD of the mean, ~95% within 2 SDs, and ~99.7% within 3 SDs.

Frequently Asked Questions

Population vs sample standard deviation?

Population SD divides by N (all data). Sample SD divides by N-1 (Bessel's correction) to account for estimating from a subset.

What does standard deviation tell you?

It measures how spread out values are from the mean. Low SD means data is clustered near the mean; high SD means it's widely spread.

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