This document provides examples and formulas for calculating mean absolute deviation and coefficient of dispersion. Mean absolute deviation is a measure of how far data points deviate from the mean. It is calculated by taking the average of the absolute differences between each data point and the mean. Coefficient of dispersion is calculated by dividing the mean absolute deviation by the mean and multiplying by 100 to express it as a percentage. Two examples are provided to demonstrate calculating mean absolute deviation and coefficient of dispersion using data sets and frequency distributions.