STDEV.S
Estimates the sample standard deviation based on a sample of the population. Modern replacement for the legacy STDEV function.
STDEV.S(number1, [number2], ...)Arguments
number1First numeric value or range representing a sample of the population.number2Optional. Up to 254 additional numbers, references, or arrays.(optional)
=STDEV.S(10, 20, 30, 40, 50)Sample standard deviation of 5 values
- •Available since Excel 2010 — same result as the legacy STDEV
- •Divides by n − 1 (Bessel's correction for samples)
- •Use STDEV.P if your data represents the entire population
- •Ignores text and logical values; use STDEVA to include them
- •Using STDEV.S (sample standard deviation) when the data actually represents an entire population - this uses the wrong divisor (n-1 instead of n) and slightly overstates the spread for population data
- •Applying STDEV.S to a dataset with only one value, which returns a #DIV/0! error since sample standard deviation is undefined for a single data point
- •Forgetting that STDEV.S ignores text and logical values entirely - if those need to be included in the calculation, STDEVA is the function that handles that instead
STDEV.PCalculates standard deviation for an entire population rather than a sample, using n instead of n-1 as the divisor.VAR.SCalculates variance, the squared value that STDEV.S takes the square root of to return a more interpretable, same-unit measure.STDEVAIncludes text (as 0) and logical values in the calculation, unlike STDEV.S which ignores them entirely.Should I use STDEV.S or STDEV.P?
Use STDEV.S when your data is a sample of a larger population - the more common case. Use STDEV.P only when your data genuinely represents the entire population, not just a subset of it.
Why does STDEV.S return #DIV/0!?
There's likely only one numeric value in the range - sample standard deviation requires at least two data points, since its formula divides by n-1.
Is STDEV.S the same as the legacy STDEV function?
Yes, STDEV.S produces identical results - it's simply the modern, more clearly named equivalent, kept alongside STDEV mainly for consistency with other newer statistical function names.
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