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.
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