# KURT

**Definition/Description of Formula:**

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

**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`#NUM!`

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.

`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.

### To use the KURT Formula, simply begin with your edited Excellentable:

### Then begin typing the KURT formula in the area you would like to display the outcome:

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