STA2201 Analysis of Variance and Experimental Design

This course unit is an introduction to the most commonly used linear model in data analysis.  The topics to be covered will include: Types of ANOVA; Basic Experimental Design; Testing Significance if the F-Ratio; Testing the Homogeneity/Equality of theTreatment of Variance

General Course Objectives
By the end of the course, the participants should be in a good position to do:

• Characterize the different experimental designs and their layout
• Perform computations and test hypotheses.
• Draw up conclusions on the best alternatives depending on the results from the analysis.

Expected Learning Outcomes
By the end of the course, the student should be able to:

• Carry out Analysis of variance (ANOVA) which involves studying variation in the data sets form the same population but subjected to different treatment levels and be able to select the one with the least variation by testing hypotheses.  
• Describe Experimental designs are illustrated with data sets drawn from the health, economic and social sciences, including sample survey.