Population spread
For 2, 4, 4, 4, 5, 5, 7, 9, the mean is 5 and the sum of squared deviations is 32. Population variance is 32/8 = 4 and population standard deviation is 2.
Summarize the spread of an unweighted numeric data set. Choose whether the numbers represent a whole population or a sample, then compare standard deviation, variance, mean, median, and the smallest and largest observations.
Calculations run locally in your browser. This tool does not upload the numbers you enter.
Paste observations separated by spaces, commas, semicolons, or new lines. Omit headers and thousands separators.
Choose population for a complete group or sample when estimating spread from a subset.
Calculate and inspect the summary. Expand the first 20 deviations to check entries, or download the report containing every entered value.
For 2, 4, 4, 4, 5, 5, 7, 9, the mean is 5 and the sum of squared deviations is 32. Population variance is 32/8 = 4 and population standard deviation is 2.
Using those same eight observations as a sample divides 32 by 7. Sample variance is about 4.57143 and sample standard deviation is about 2.13809.
Population variance divides the sum of squared deviations from the mean by n. Sample variance divides by n − 1 to estimate population variance from a sample. The sample formula requires at least two observations; one observation is sufficient for population variance, which is then zero.
Variance has squared data units. Taking its square root returns standard deviation to the same units as the observations, so a deviation calculated from lengths in centimeters is also in centimeters. A large value indicates more spread around the mean but does not, by itself, describe distribution shape.
Squaring deviations gives distant observations substantial influence. Inspect unusual values before interpreting the result. The calculator accumulates mean and squared deviations incrementally to reduce avoidable cancellation, although all numeric results remain subject to floating-point rounding.
Yes. Each entry is one equally weighted observation. Repeated values are retained rather than deduplicated.
No. Expand frequencies into repeated observations or use a weighted statistics tool. This calculator does not interpret a second column as weights.
All deviations from the mean are zero, so both supported variance formulas return zero when their minimum sample size is met.
No. The quantity can be computed for these finite data without a normality assumption. Normal-distribution probability rules need separate justification.