STAT 666
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Multivariate Statistical Methods
Course Description
Inference about mean vectors and covariance matrices; multivariate analysis of variance and regression; canonical correlation; discriminant, cluster, principal component, and factor analysis.
When Taught
Fall
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Title
Produce Analysis
Learning Outcome
Produce a complete analysis of appropriate multivariate data using SAS and R
Title
Demonstrate Understanding
Learning Outcome
Demonstrate understanding of multivariate random vectors and their distributions
Title
Basic Principles of Probability
Learning Outcome
Use basic principles of probability, statistics, and linear algebra to motivate:the comparison of mean vectorsmultivariate regression and canonical correlationprincipal component analysis and factor analysisclassification and clustering
Title
STAT 666
Learning Outcome
At the end of Stat 666 the student will be able to:
Title
"Consulting" Project
Learning Outcome
Take a multivariate data analysis "consulting" project andIndentify appropriate statistical approaches to address the clients problemCarry out a thorough and meaningful analysis of the dataClearly and effectively defend and communicate their approach and findings to their client in a report
