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:

    Equation

    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)

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