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Sample and population standard deviation with every step shown.
| x | x − mean | (x − mean)² |
|---|
Sample standard deviation
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Empirical rule
For a normal distribution.
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The Standard Deviation Calculator returns standard deviation and variance in both sample and population forms, with a working table showing each value, its deviation from the mean and that deviation squared. The table is the point: it makes obvious what standard deviation actually measures.
Paste your data to get the standard deviation and variance in both the sample and population forms, with a working table showing each value, its deviation from the mean, and that deviation squared.
The step-by-step table is the point. Standard deviation is usually taught as a formula to memorise, but seeing the squared deviations laid out makes it obvious what it measures: the typical distance of a value from the mean. The empirical rule ranges are shown alongside, covering roughly 68, 95 and 99.7 percent of a normal distribution within one, two and three standard deviations, and a z-score panel converts any value into how many deviations from the mean it sits.
Each value, its deviation from the mean and the squared deviation are tabulated rather than hidden inside a formula.
The n versus n−1 divisor is applied both ways so you can see the difference it makes.
Roughly 68, 95 and 99.7 percent of a normal distribution within one, two and three deviations, calculated for your data.
Convert any value into how many standard deviations from the mean it sits.
The squared measure is given alongside, since some coursework asks for it directly.
Paste numbers separated by commas, spaces or line breaks.
Both are calculated, but the one you select is highlighted with its formula.
The table shows every deviation and squared deviation, then the sum, the variance and the square root.
The sample version divides by n minus 1 rather than n. That correction, called Bessel's correction, compensates for a sample understating the true spread of the population it came from.
Use the sample version unless you have genuinely measured every member of the group. Almost all real data is a sample, so it is the usual default.
The average of the squared deviations from the mean. Standard deviation is its square root, which returns the figure to the original units and makes it interpretable.
How many standard deviations a value sits from the mean. A z-score of 2 means the value is two deviations above average, which in a normal distribution puts it in roughly the top 2.5 percent.
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