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# 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.

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