## 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
comparison procedure.
- 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*,
8^{th} 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
majors.

- To intuitively understand each concept.
- To understand, when possible and appropriate, the rigor of a mathematical
proof.
- To integrate topics by identifying commonalties.
- To understand the limitations of each analysis through consideration of
assumptions.
- To express general concepts in terms of the application.
- To communicate results, clearly and completely, in a manner appropriate to
nonquantitative audiences.
- 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*