# SKEW.P

## Content

This function calculates the skewness of a distribution based on population.

## Syntax

`SKEW.P(number 1, [number 2], …)`

## Arguments

<span data-teams="true" style="margin: 0px; padding: 0px; -webkit-font-smoothing: antialiased; box-sizing: border-box;">This function has these arguments:</span>

| <span data-teams="true" style="margin: 0px; padding: 0px; -webkit-font-smoothing: antialiased; box-sizing: border-box;">Argument</span> | <span data-teams="true" style="margin: 0px; padding: 0px; -webkit-font-smoothing: antialiased; box-sizing: border-box;">Description</span> |
| -------- | ----------- |
| *<span data-teams="true" style="margin: 0px; padding: 0px; -webkit-font-smoothing: antialiased; box-sizing: border-box;">number 1, number 2, …</span>* | <span data-teams="true" style="margin: 0px; padding: 0px; -webkit-font-smoothing: antialiased; box-sizing: border-box;"> </span>Number 1 is required, subsequent numbers are optional. Number 1, number 2,… are 1 to 254 numbers or names, arrays, or reference that contain numbers for which you want the population skewness. |

## Remarks

This function does not make use of a sample but uses the standard deviation of the whole population.
If the values in the arguments passed are invalid (invalid values or data types), this function returns an error.

## Examples

`SKEW.P(3,4,5,2,3,4,5,6,4,7)` gives the result 0.303
`SKEW.P(4,7,5,2,3,4,5,1,2,7)` gives the result 0.1619