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) 