STDEVPA

Calculates 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, Excellentable 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 #NUM! 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, useSTDEV.

• 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: 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.