22
May
How To Measure Kurtosis. Our dataset had a low kurtosis measurement. 11 11 10 8 13 15 9 10 14 12 11 8 ii. Data sets with low kurtosis tend to have light tails or lack of outliers. You should click on an empty cell 1 and type KURT all the cells ex.
To calculate the skewness and kurtosis of this dataset we can use skewness and kurtosis functions from the moments library in R. The standard measure of kurtosis is based on a scaled version of the fourth moment of the data or population. Therefore the measure of kurtosis is related to the tails of the distribution not its peak. This video explains the basic knowledge on skewness and kurtosis. Data sets with low kurtosis tend to have light tails or lack of outliers. Kurt Excel function has been used here.
And shows how to use Microsoft Excel to calculate the coefficient of Skewness CS and Kurt.
Now excess kurtosis will vary from -2 to infinity. Therefore the measure of kurtosis is related to the tails of the distribution not its peak. The peak is the tallest part of the distribution and the tails are the ends of the distribution. And definition to fully understand. Finally the kurtosis isa4 m4 m2² 199376085275² 27418and the excess kurtosis. As the kurtosis measure for a normal distribution is 3 we can calculate excess kurtosis by keeping reference zero for normal distribution.