Οƒ Standard Deviation Calculator

Enter a list of numbers to calculate the mean, variance, and standard deviation for a population or sample.

Data Set

Result

Population Standard Deviation
4.898
8 values parsed
Count (n)
–
Sum
–
Mean
–
Variance
–
Minimum
–
Maximum
–
Range
–
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How Standard Deviation Is Calculated

Standard deviation measures how spread out a set of numbers is from the mean. A low standard deviation means values cluster close to the mean; a high one means they're spread over a wider range.

Formulas

Mean: xΜ„ = (Ξ£x) / n
Population Variance: σ² = Ξ£(x βˆ’ xΜ„)Β² / n
Sample Variance: sΒ² = Ξ£(x βˆ’ xΜ„)Β² / (n βˆ’ 1)
Standard Deviation: Οƒ (or s) = √variance

Worked Example

The calculator loads with the data set 10, 12, 23, 23, 16, 23, 21, 16 (8 values) using the population setting. The sum is 144, giving a mean of 144 Γ· 8 = 18. Summing each value's squared difference from the mean and dividing by n gives a population variance of 24, so the population standard deviation is √24 β‰ˆ 4.899. The range (max 23 minus min 10) is 13.

Frequently Asked Questions

What's the difference between population and sample standard deviation?

Population standard deviation divides by n (the full data set), while sample standard deviation divides by nβˆ’1, which corrects for bias when your data is only a sample of a larger population.

Which one should I use?

Use population standard deviation when your data represents the entire group you're interested in. Use sample standard deviation when your data is a subset used to estimate a larger population.

What input formats are supported?

You can separate numbers with commas, spaces, or new lines β€” the calculator parses all of these automatically and ignores invalid entries.

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