STT 535 - Applied Multivariate Analysis

Course Description: Matrix manipulations; multivariate normal distribution; inference for mean vector and covariance matrix; multivariate analysis of variance; principal components; canonical correlations; discriminant analysis; factor analysis; cluster analysis; statistical analysis using SAS.

Credit Hours: 3

Corequisite Courses: None
Prerequisite Courses: STT 511 with minimum grade of C and STT 512 with minimum grade of C
Additional Restrictions/ Requirements: None
Course Repeatability: Course may not be repeated

ADDITIONAL COURSE INFORMATION

Equivalent Courses: None
Undergraduate Crosslisting: STT 435
Additional Course Fees: None
Course Attribute: None

Click here for the Spring 2025 Class Schedule.