Welcome to the Multivariate Analysis course! This is an exciting journey where we will learn different Multivariate Analysis techniques. I work hard to ensure that your learning experience is as positive for you as possible. Your active participation in the course activities is also critical, and I hope you enjoy engaging with me during the rest of this semester.
This course is designed to broaden and enrich the student's knowledge and understanding of statistical methodology as it pertains to the study of multivariate techniques, equip students with skills in computing multivariate methods, and motivate them to apply the multivariate methods to solve real-life problems. In this course, a student will be taken through an Introduction; review of matrix algebra; Inference about a Multivariate Mean Vector; Inference about mean vector; Hypothesis testing on mean vector; Multivariate analysis of Variance; Multivariate techniques: Principal Components analysis; Factor analysis.
- Lecturer: Dr Dibaba Gemechu