In this module, we delve into Analysis of Variance (ANOVA), a statistical method used to compare the means of three or more groups to determine if there are any statistically significant differences between them. The session covers the fundamental concepts of ANOVA, including its purpose and application in hypothesis testing. We explore the key components of the ANOVA model, such as between-group and within-group variability, and discuss the assumptions required for valid results. The module includes practical examples to illustrate the use of ANOVA in various research scenarios and concludes with a summary of the key techniques and interpretations.