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
DEVSQis 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
valuearguments is not at least two,DEVSQwill return a value of0. DEVSQwill ignore any text values found in ranges included invaluearguments.DEVSQis equivalent to the variance of a sample multiplied by the number of elements in the sample minus one; that is,(COUNT(...)-1)*VAR(...)whereCOUNTandVARare called on 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.
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.