# SKEW.P function

The SKEW.P function calculates the skewness of a dataset that represents the entire population. Skewness describes the symmetry of that dataset about the mean.

## Parts of a SKEW.P function

`SKEW.P(value1, value2)`

 Part Description `value1` The first value or range of the dataset. `value2` Additional values or ranges to include in the dataset.

## Notes

• Although `SKEW.P` 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, `SKEW.P` will return the `#DIV/0! `error.
• Any text encountered in the `value` arguments will be ignored.
• Positive skewness indicates a longer tail extending in the positive direction, to the right of the mean, while negative skewness indicates a longer tail in the negative direction, to the left. Skewness nearer to zero indicates more symmetrical distributions.

## Examples

 A B 1 value 2 2 3 5 4 8 5 13 6 10 7 18 8 23 9 26 10 11 12 Result Formula 13 0.2763070768 `=SKEW.P(A2:A9)` 14 0.4621754338 `=SKEW.P(A2:A9, 30, 40)`

## Related functions

• SKEW: Calculates the skewness of a dataset, which describes the symmetry of that dataset about the mean.
• 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.
• KURT: Calculates the kurtosis of a dataset, which describes the shape, and in particular the "peakedness" of that dataset.
• 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.