Course Objectives and Tentative Syllabus (1/6/03)
STA 4702/5707 APPLIED MULTIVARIATE ANALYSIS
Instructor: Pi-Erh Lin 208 OSB/FSU 644-6697
Office Hours: 1:30 p.m. to 2:20 p.m. M-W-F
Prerequisite: STA 4203/5207 Applied Regression Methods
Textbooks: Computer-Aided Multivariate Analysis (3rd ed.). 1997. A.A. Afifi
and V. Clark. Publisher: Chapman & Hall/CRC.
SPSS for Windows Step by Step. A simple guide and reference. 11.0 update. (4th ed.). 2003. D. George and P. Mallery. Publisher: Allyn and Bacon.
References: Dillon and Goldstein (1984): Multivariate Analysis. Johnson and Wichern (1998): Applied Multivariate Statistical Analysis.
· To gain an understanding of basic multivariate statistical analysis with emphasis in applications.
· To be able to formulate from a complicated problem ready for multivariate statistical analysis;
· To be able to recommend a multivariate technique appropriate for a given situation;
· To be able to use SPSS or Minitab computer programs for statistical analysis; and
· To be able to describe and interpret statistical results from computer outputs in layman's terms.
(1) Principal Components Analysis
(2) Factor Analysis
(3) Cluster Analysis
(4) Canonical Correlation Analysis
(5) Discriminant Analysis
(6) Multivariate Analysis of Variance, and
(7) Multidimensional contingency table, if time permits.