SKEW
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) |