Manuals/calci/KURT
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KURT(N1,N2,...)
Where N1,N2,.... are the arguments to calculate the kurtosis.
This function calculates the relative peakedness or flatness of a distribution compared with the normal distribution.
· Arguments can be numbers or names, arrays, or references.
· Logical values and text representations of numbers are calculated.
· KURT shows the error value, when there are fewer than four data points, or the SD of the sample equals zero.
Formulas:-
· Kurtosis is defined as:
where s is the sample standard deviation.
KURT
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Lets see an example, KURT(N1,N2,....)
B 8 9 10 4 5 3 10 =KURT(B2:B8) is -2.0947
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Syntax
Remarks
Examples
Description
| Column1 | Column2 | Column3 | Column4 | |
| Row1 | 8 | -2.094675 | ||
| Row2 | 9 | |||
| Row3 | 10 | |||
| Row4 | 4 | |||
| Row5 | 5 | |||
| Row6 | 3 | |||
| Row7 | 10 |
