STDEV

The STDEV function calculates the standard deviation based on a sample.

STDEV for BigQuery

Calculates the sample standard deviation of a data column.

Sample Usage

STDEV(table_name!price)

Syntax

STDEV(column)

• column - The data column of the sample.

Tip: Returning sample standard deviation across multiple columns is not supported

Sample Usage

STDEV(1,2,3,4,5,6,7,8,9,10)

STDEV(A2:A100)

Syntax

STDEV(value1, [value2, ...])

• value1 - The first value or range of the sample.

• value2, ... - [ OPTIONAL ] - Additional values or ranges to include in the sample.

Notes

• Although STDEV 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, STDEV will return the #DIV/0! error.

• STDEV will return an error if any of the value arguments include text. If any of the value arguments reference a cell that contains text, those cells are ignored. To calculate standard deviation while interpreting text values as 0, use STDEVA.

• STDEV calculates standard deviation for a sample. To calculate standard deviation across an entire population, use STDEVP.

• STDEV is equivalent to the square root of the variance, or SQRT(VAR(...)) 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.

STDEVPA: Calculates the standard deviation based on an entire population, setting text to the value `0`.

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`.

SKEW: Calculates the skewness of a dataset, which describes the symmetry of that dataset about the mean.

KURT: Calculates the kurtosis of a dataset, which describes the shape, and in particular the "peakedness" of that dataset.

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