STDEV.S DAX Function (Statistical)

Estimates standard deviation based on a sample. Ignores logical values and text in the sample.

Syntax

STDEV.S ( <ColumnName> )
Parameter Attributes Description
ColumnName

A column that contains numbers corresponding to a sample of a population.

Return values

Scalar A single decimal value.

The standard deviation of a sample population.

Remarks

STDEV.S assumes that the column refers to a sample of the population.

To compute the standard deviation with the entire population, use STDEV.P.

The STDEV.S function internally executes STDEVX.S, without any performance difference.
The following STDEV.S call:

STDEV.S ( table[column] )

corresponds to the following STDEVX.S call:

STDEVX.S (
    table,
    table[column]
)
» 1 related article
» 3 related functions

Examples

--  Computes the standard deviation over a table of values
--
--  STDEV.P : standard deviation over the entire population
--  STDEV.S : standard deviation over a sample of the entire population
--
--  STDEVX is an iterator, STDEV is the simplified version in case
--  you are using a single column.
DEFINE
    TABLE SampleData = { 2, 4, 4, 4, 5, 5, 7, 9 }
EVALUATE
{
     ( "STDEV.P",  STDEV.P ( SampleData[Value] ) ),
     ( "STDEV.S",  STDEV.S ( SampleData[Value] ) ),
     ( "STDEVX.P", STDEVX.P ( SampleData, SampleData[Value] ) ),
     ( "STDEVX.S", STDEVX.S ( SampleData, SampleData[Value] ) ),
     ( "STDEVX.P", STDEVX.P ( Sales, Sales[Quantity] * Sales[Net Price] ) ),
     ( "STDEVX.S", STDEVX.S ( Sales, Sales[Quantity] * Sales[Net Price] ) )
}

-- The STDEV.S over SampleData is very different from STDEV.P because the 
-- set is small (8 rows for the population, 8 rows for the sample)
-- When applied to Sales, the difference is small in hidden decimals because
-- the set used has 100,000 rows

Value1 Value2
STDEV.P 2.0000000000
STDEV.S 2.1380899353
STDEVX.P 2.0000000000
STDEVX.S 2.1380899353
STDEVX.P 588.4956677430
STDEVX.S 588.4986034618

Related articles

Learn more about STDEV.S in the following articles:

  • Statistical Patterns

    DAX includes a few statistical aggregation functions, such as average, variance, and standard deviation. Other typical statistical calculations require you to write longer DAX expressions. Excel, from this point of view, has a much richer language. The Statistical Patterns are a collection of common statistical calculations: median, mode, moving average, percentile, and quartile. » Read more

Related functions

Other related functions are:

Last update: Sep 12, 2021   » Contribute   » Show contributors

Contributors: Alberto Ferrari, Marco Russo

Microsoft documentation: https://docs.microsoft.com/en-us/dax/stdev-s-function-dax

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Context Transition

This function performs a Context Transition if called in a Row Context. Click to read more.

Row Context

This expression is executed in a Row Context. Click to read more.

Iterator

Not recommended

The use of this function is not recommended. See Remarks and Related functions for alternatives.

Not recommended

The use of this parameter is not recommended.

Deprecated

This function is deprecated. Jump to the Alternatives section to see the function to use.

Deprecated

This parameter is deprecated and its use is not recommended.

DirectQuery compatibility

Limitations are placed on DAX expressions allowed in measures and calculated columns.
The state below shows the DirectQuery compatibility of the DAX function.

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