Returns the kurtosis of a data set. Kurtosis characterizes the relative peakedness or flatness of a distribution compared with the normal distribution. Positive kurtosis indicates a relatively peaked distribution. Negative kurtosis indicates a relatively flat distribution.
Syntax
KURT(number1,number2,...)
Number1,number2,... are 1 to 30 arguments for which you want to calculate kurtosis.
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 four data points, or if the standard deviation of the sample equals zero, KURT returns the #DIV/0! error value.
-
Kurtosis is defined as:
where:
s is the sample standard deviation.
Example
|
Col1 |
Col2 |
Col3 |
Col4 |
Col5 |
Col6 |
Col7 |
Col8 |
Col9 |
Col10 |
Formula |
Description (Result) |
|
3 |
4 |
5 |
2 |
3 |
4 |
5 |
6 |
4 |
7 |
=KURT([Col1], [Col2], [Col3], [Col4], [Col5], [Col6],[Col7],[Col8],[Col9],[Col10]) |
Kurtosis of the ata set (-0.1518) |
