Multivariate Statistical Methods
General
Prefix
STAT
Course Number
530
Course Level
Graduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
Principal component analysis, factor analysis, discriminant analysis, cluster analysis, manova, profile analysis, repeated measures; applications and use of statistical software.
Prerequisites
Credits
Min
3
Max
3
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Organize and summarize multivariate data.
Outcome
Identify basic properties of multivariate normal distributions.
Outcome
Apply appropriate multivariate statistical analysis techniques such as MANOVA, principle component analysis, factor analysis, discrimination and classification to different problems.
Outcome
Analyze multivariate data using statistical software.
Outcome
Analyze the connections between the learning outcomes of this course and the larger picture of undergraduate statistics and the student's own experience, or explore a subset of course topics in greater depth than what is required for the typical undergraduate student, or both.