ANOVA and Experimental Design

This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to e

• Identify and interpret two-way ANOVA and ANCOVA models as linear regression
• Use ANOVA and ANCOVA models to answer research questions with real data
• Define and apply replication, repeated measures, and factorial design in two-way ANOVA

• Basic knowledge of statistics
• Understanding fundamentals of linear models