Kurt function

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)