Returns the skewness of a distribution. Skewness characterizes the degree of asymmetry of a distribution around its mean. Positive skewness indicates a distribution with an asymmetric tail extending toward more positive values. Negative skewness indicates a distribution with an asymmetric tail extending toward more negative values.
Syntax
SKEW(number1,number2,...)
Number1,number2... are 1 to 30 arguments for which you want to calculate skewness.
Remarks

The arguments must be either numbers or column references that contain numbers.

If a column reference argument contains text, logical values, or is empty , those values are ignored; however, arguments with the value zero are included.

If there are fewer than three data points, or the sample standard deviation is zero, SKEW returns the #DIV/0! error value.

The equation for skewness is defined as:
Example
D1 
D2 
D3 
D4 
D5 
D6 
D7 
D8 
D9 
D10 
Formula 
Description (Result) 
3 
4 
5 
2 
3 
4 
5 
6 
4 
7 
=SKEW([D1], [D2], [D3], [D4], [D5], [D6], [D7], [D8], [D9], [D10]) 
Skewness of a distribution of the data set (0.359543) 