Applied Multivariate Analysis
Course Description
Introduction to the statistical analysis of several quantitative measurements on each observational unit. Emphasis is on concepts, computer-intensive methods. Examples from economics, education, geology, psychology. Topics: multiple regression, multivariate analysis of variance, principal components, factor analysis, canonical correlations, multidimensional scaling, clustering. Prerequisites: STATS 116/118, STATS 191/203, MATH104 (recommended). See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
BMDS 240
Units: 3
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Typically Offered
Not Available
Grading Basis
Medical Option (Med-Ltr-CR/NC)
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None