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. You can also use a single array or a reference to an array instead of arguments separated by commas.
Remarks
 Arguments can either be numbers or names, arrays, or references that contain numbers.
 Logical values and text representations of numbers that you type directly into the list of arguments are counted.
 If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.
 Arguments that are error values or text that cannot be translated into numbers cause errors.
 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
The example may be easier to understand if you copy it to a blank worksheet.
How to copy an example
 Create a blank workbook or worksheet.
 Select the example in the Help topic.
Note Do not select the row or column headers.
Selecting an example from Help
 Press CTRL+C.
 In the worksheet, select cell A1, and press CTRL+V.
 To switch between viewing the results and viewing the formulas that return the results, press CTRL+` (grave accent), or on the Formulas tab, in the Formula Auditing group, click the Show Formulas button.

A 
Data 
3 
4 
5 
2 
3 
4 
5 
6 
4 
7 
Formula 
Description (Result) 
=SKEW(A2:A11) 
Skewness of a distribution of the data set above (0.359543) 
