Calculates the kurtosis of a dataset, which describes the shape, and in particular the “peakedness” of that dataset.
Sample Usage
KURT(1,2,3,4,5,6,7,8,9,10)
KURT(A2:A100)
Syntax
KURT(value1, [value2, ...])
value1
- The first value or range of the dataset.value2, ...
- Additional values or ranges to include in the dataset.
Notes
- Although
KURT
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,KURT
will return the#DIV/0!
error. - Any text encountered in the
value
arguments will be ignored. - Positive kurtosis indicates a more “peaked” distribution in the dataset, while negative kurtosis indicates a flatter distribution.
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.
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.