# KURT

## Content

This function returns the kurtosis of a data set.

## Syntax

`KURT(number1, [number2], ...)`

## Arguments

<span data-teams="true" style="box-sizing: content-box; margin: 0px; padding: 0px; transition: filter 0.5s ease-in-out; line-height: 25.6px;">This function has these arguments:</span>

| <span data-teams="true" style="box-sizing: content-box; margin: 0px; padding: 0px; transition: filter 0.5s ease-in-out; line-height: 25.6px;">Argument</span> | <span data-teams="true" style="box-sizing: content-box; margin: 0px; padding: 0px; transition: filter 0.5s ease-in-out; line-height: 25.6px;">Description</span> |
| -------- | ----------- |
| *<span data-teams="true" style="box-sizing: content-box; margin: 0px; padding: 0px; transition: filter 0.5s ease-in-out; line-height: 25.6px;">number1, number2, ...</span>* | Number1 is required, subsequent numbers are optional. 1 to 255 arguments for which you want to calculate kurtosis. You can also use a single array or a reference to an array instead of arguments separated by commas. |

## Remarks

Kurtosis describes how peaked or flat a distribution is compared with the normal distribution. Positive kurtosis indicates a relatively peaked distribution. Negative kurtosis indicates a relatively flat distribution.
If the standard deviation of the values is zero, this function returns the #DIV/0! error value.

## Examples

`KURT(F1:F8)`
`KURT(R1C6:R8C6)`
`KURT(F1:F8,G1:G8)`
`KURT(35,31,47,51,37,31,58,39)` gives the result -0.7496238078