Sample standard deviation
2.4495
Mean: 15.5000 Ā· n = 8
Variance (ϲ)
6.0000
Mean
15.5000
Count
8
Min
12.0000
Max
19.0000
Population Ļ
2.2913
Distribution around the mean
Shaded band = mean ± 1Ļ (13.05 to 17.95). About 68% of a normal distribution falls in this range.
Learn more
How this calculator works and what to know before using it
What this calculator does
Computes mean, variance, and standard deviation for a data set using sample or population formulas.
Understanding your result
Standard deviation measures spread around the mean. A low value means data points cluster tightly; a high value means they are more dispersed.
How to use it
- Paste or type your data (comma, space, or line separated).
- Choose sample (n ā 1) or population (N) deviation.
- View mean, standard deviation, variance, min, and max.
Formula used
Sample and population standard deviation
Sample: s = ā(Ī£(xįµ¢ ā xĢ)² / (n ā 1)) Ā· Population: Ļ = ā(Ī£(xįµ¢ ā μ)² / N)
Source. Both forms take the square root of the average squared distance from the mean. The NIST/SEMATECH e-Handbook defines the standard deviation with a divisor of N ā 1, which is the sample form on this page. The population form divides by the number of values. NIST/SEMATECH e-Handbook, standard deviation.
Updated November 1, 2026
Example
12, 15, 18, 14, 16 ā mean 15, sample standard deviation ā 2.24.
Good to know
- Use sample deviation when data is a subset of a larger population.
- Use population deviation when you have the complete data set.
Common questions
- When should I use sample vs population standard deviation?
- Use sample (nā1) when your data is a sample from a larger group. Use population (N) when you have every value in the group.
- What does a high standard deviation mean?
- Values vary widely from the average. A low standard deviation means most values are close to the mean.
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