What are Skewness and Kurtosis   What is skewness  Skewness and Kurtosis  Normality  Skewness and Ku
Channel: Farhat Lectures. The # 1 CPA & Accounting Courses
Date: 2020-08-02

In this video, I discuss skewness and kurtosis. Skewness is a measure of symmetry, or more precisely, the lack of symmetry. A distribution, or data set, is symmetric if it looks the same to the left and right of the center point. Kurtosis is a measure of whether the data are heavy-tailed or light-tailed relative to a normal distribution.


✔️Accounting students and CPA Exam candidates, check my website for additional resources:  https://farhatlectures.com/
📧Connect with me on social media: https://linktr.ee/farhatlectures


Prerequisite:
https://www.youtube.com/playlist?list=PLxP0KZzCGFYOaFyn-KzydZVqaQM0jztOG

Kurtosis is a statistical measure used to describe the degree to which scores cluster in the tails or the peak of a frequency distribution. The peak is the tallest part of the distribution, and the tails are the ends of the distribution.

There are three types of kurtosis: mesokurtic, leptokurtic, and platykurtic.

Skewness is usually described as a measure of a dataset’s symmetry – or lack of symmetry.   A perfectly symmetrical data set will have a skewness of 0.   The normal distribution has a skewness of 0.