SKEW.P

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
13	0.2763070768
14	0.4621754338

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.