WorksheetFunction.Kurt method (Excel)

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.


expression. Kurt( _Arg1_ , _Arg2_ , _Arg3_ , _Arg4_ , _Arg5_ , _Arg6_ , _Arg7_ , _Arg8_ , _Arg9_ , _Arg10_ , _Arg11_ , _Arg12_ , _Arg13_ , _Arg14_ , _Arg15_ , _Arg16_ , _Arg17_ , _Arg18_ , _Arg19_ , _Arg20_ , _Arg21_ , _Arg22_ , _Arg23_ , _Arg24_ , _Arg25_ , _Arg26_ , _Arg27_ , _Arg28_ , _Arg29_ , _Arg30_ )

expression A variable that represents a WorksheetFunction object.


Name Required/Optional Data type Description
Arg1 - Arg30 Required Variant Number1, number2, ... - 1 to 30 arguments for which you want to calculate kurtosis. You can also use a single array or a reference to an array instead of arguments separated by commas.

Return value



  • 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 four data points, or if the standard deviation of the sample equals zero, KURT returns the #DIV/0! error value.

  • Kurtosis is defined as: Formulawhere s is the sample standard deviation.

See also

WorksheetFunction Object

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