STDEV.P DAX Function (Statistical)
Calculates standard deviation based on the entire population given as arguments. Ignores logical values and text.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| ColumnName |
A column that contains numbers corresponding to a population. |
Return values
The standard deviation of the entire population.
Remarks
STDEV.P assumes that the column refers to the entire population.
To compute the standard deviation with a sample of the population, use STDEV.S.
The STDEV.P function internally executes STDEVX.P, without any performance difference.
The following STDEV.P call:
STDEV.P ( table[column] )
corresponds to the following STDEVX.P call:
STDEVX.P (
table,
table[column]
)
» 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.P 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
-
Using tuple syntax in DAX expressions
This article describes the use of the tuple syntax in DAX expressions to simplify comparisons involving two or more columns. » Read more
Related functions
Other related functions are:
Last update: Dec 14, 2024 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
Microsoft documentation: https://docs.microsoft.com/en-us/dax/stdev-p-function-dax