Explain Concept Of Kurtosis. When a set of approximately normal data is graphed via a histogram it shows a. More values in the distribution tails and more values close to the mean ie.
A 4 m 4 m 2 2 and excess kurtosis. That is data sets with high kurtosis tend to have heavy tails or outliers. X is the mean and n is the sample size as usual.
Sharply peaked with heavy.
The help of Kurtosis. Distributions that are moderate in breadth and curves with a medium peaked height. It ascertains the way observations are clustered around the centre of the distribution. Step 1 of 4.
