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.