STDEVPACalculates the standard deviation based on an entire population, setting text to the value `0`.
Sample Usage
STDEVPA(1,2,3,4,5,6,7,8,9,10)
STDEVPA(A2:A100)
Syntax
STDEVPA(value1, [value2, …])
value1 – The first value or range of the population.
value2, … – Additional values or ranges to include in the population.
Notes
Although STDEVPA is specified as taking a maximum of 30 arguments, Google Sheets supports an arbitrary number of arguments for this function.
If the total number of values supplied as value arguments is not at least two, STDEVPA will return the #DIV/0! error.
STDEVPA sets each text value encountered to 0 for the purpose of calculation. To return an error upon encountering text, use STDEVP.
STDEVPA calculates standard deviation for an entire population. To calculate standard deviation across a sample, use STDEV.
STDEVPA is equivalent to the square root of the variance, or SQRT(VARPA(…)) using the same dataset.
See Also
VARPA: Calculates the variance based on an entire population, setting text to the value `0`.
VARP: Calculates the variance based on an entire population.
VARA: Calculates the variance based on a sample, setting text to the value `0`.
VAR: Calculates the variance based on a sample.
STDEVP: Calculates the standard deviation based on an entire population.
STDEVA: Calculates the standard deviation based on a sample, setting text to the value `0`.
STDEV: The STDEV function calculates the standard deviation based on a sample.
DVARP: Returns the variance of an entire population selected from a database table-like array or range using a SQL-like query.
DVAR: Returns the variance of a population sample selected from a database table-like array or range using a SQL-like query.
DSTDEVP: Returns the standard deviation of an entire population selected from a database table-like array or range using a SQL-like query.
DSTDEV: Returns the standard deviation of a population sample selected from a database table-like array or range using a SQL-like query.
DEVSQ: Calculates the sum of squares of deviations based on a sample.
AVEDEV: Calculates the average of the magnitudes of deviations of data from a dataset’s mean.
Examples