Course Description
An introduction to use of statistical methods for analyzing multivariate and longitudinal data collected in experiments and surveys. Topics covered include multivariate analysis of variance, discriminant analysis, principal components analysis, factor analysis, covariance modeling, and mixed effects models such as growth curves and random coefficient models. Emphasis is on use of a computer to perform statistical analysis of multivariate and longitudinal data.
Spring 2024
Instructors
Meeting Patterns
Classes Start:
January 8, 2024
Classes End:
April 23, 2024
Location:
01102 SAS Hall
Class Days:
T H
Class Start Time:
11:45am
Class End Time:
1:00pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ST 512 or ST 514 or ST 515 or ST 516 or ST 517
