# DEVSQ

Calculates the sum of squares of deviations based on a sample.

### Sample Usage

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

`DEVSQ(A2:A100)`

### Syntax

`DEVSQ(value1, [value2, ...])`

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

• `value2, ...` - Additional values or ranges to include in the sample.

### Notes

• Although `DEVSQ` 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, `DEVSQ` will return a value of `0`.

• `DEVSQ` will ignore any text values found in ranges included in `value` arguments.

• `DEVSQ` is equivalent to the variance of a sample multiplied by the number of elements in the sample minus one; that is, `(COUNT(...)-1)*VAR(...)` where `COUNT` and `VAR` are called on the same dataset.

`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`.

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

`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.

`AVEDEV`: Calculates the average of the magnitudes of deviations of data from a dataset's mean.