STAT 324 Advanced Statistical Methods (3)
Analysis of covariance, multivariate analysis of variance, discriminant
analysis, stepwise regression, logistic regression, factor analysis, and
introduction to SAS®. (Offered spring semester, even years.)
STAT 292 Statistics for Mathematical Sciences II
- Understanding of basic one-way and two-way ANOVA's and multiple
- Understanding of multiple linear regression including inferential analyses.
- Understanding of two-sample hypothesis test for means and variances.
- Understanding of linear correlation.
- Ability to use the computer to perform statistical analyses.
| Required Course Materials:
There is no new text for this course.
Prerequisite course material: J. Devore, Probability and Statistics for Engineering and the Sciences,
8th edition, Cengage, 2012 (ISBN: 9780538733526)
L. Marlin Eby, Ph.D., Professor of Mathematics and Statistics
- Students majoring in mathematics or minoring in statistics.
- Students wanting a more rigorous advanced statistical methods course.
- This course can be used to meet the elective requirement for mathematics
- To intuitively understand each concept.
- To understand, when possible and appropriate, the rigor of a mathematical
- To integrate topics by identifying commonalties.
- To understand the limitations of each analysis through consideration of
- To express general concepts in terms of the application.
- To communicate results, clearly and completely, in a manner appropriate to
- To use the computer for analysis only after understanding how to perform
the analysis manually.
- Introduction to SAS®
- Analysis of Covariance
- Multivariate Analysis of Variance
- Discriminant Analysis
- Stepwise Regression
- Logistic Regression
- Factor Analysis
- Advanced SAS® topics
Revised: October 2013 (textbook); August 2010