About this document
Understanding Skewness and Kurtosis by Govind Trivedi is a document available to read on EtoBox.
This document discusses skewness and kurtosis, which are measures of the shape of a data distribution. Skewness measures symmetry and determines if the data is pushed to one side, while kurtosis measures the heaviness of the tails of the distribution. There are different types of skewness, such as positive skewness where the mean is greater than the median, and negative skewness with the opposite. Kurtosis can be leptokurtic with heavy tails, mesokurtic like a normal distribution, or platykurtic with lighte
- Author
- Govind Trivedi
- Language
- EN