Types of Kurtosis
There are three types of kurtosis: mesokurtic, leptokurtic, and platykurtic. Mesokurtic distributions have a kurtosis value similar to that of the normal distribution. Leptokurtic distributions have positive kurtosis and platykurtic distributions have negative kurtosis.
How to Calculate Kurtosis in Statistics?
Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. It is used to identify the tails and sharpness of a distribution. The kurtosis of a probability distribution for a random variable x is defined as the ratio of the fourth central moment (μ4) to the fourth power of the standard deviation (σ4), expressed as: [Tex]κ= σ 4 μ 4 = (E[ σ x−E[x] ]) 4 E[( σ x−E[x] ) 4 ] [/Tex]
In this article, we will explore how to calculate kurtosis in statistics.
Table of Content
- What is Kurtosis in Statistics?
- Types of Kurtosis
- How to Calculate Kurtosis?
Contact Us