**STAT5304.** Introduction to Statistical Computing. Covers the basics of SAS programming, which is a key
statistical software package for many data analysis techniques. This course prepares students
for future courses in statistics and other quantitative disciplines. Students learn about the SAS
basic syntax that is necessary to write SAS code to perform basic statistical inference. Prerequisites
include STAT 1301, STAT 2301, STAT 2331 or equivalent. This course is a core requirement
for the statistics minor and major.

**STAT2301.** Statistics for Modern Business Decisions. A foundation in
data analysis and probability models is followed by elementary applications of
confidence intervals, hypothesis testing, correlation and regression.
Prerequisite: GEC Math Fundamentals or equivalent.

**STAT2331.** Introduction to Statistical Methods. An introduction to
statistics for behavioral, biological and social scientists. Topics include
descriptive statistics, probability and inferential statistics including
hypothesis testing, and contingency tables. Prerequisite: GEC Math Fundamentals
or equivalent.

**STAT6366.** Apprenticeship under an experienced consultant, with exposure
to real problems handled by the Center for Statistical Consulting and Research.
Between four to six hours per week will be spent in consultation sessions and
seminars. In addition to a variety of technical statistical issues the class
will study the existing literature on the nonstatistical aspects of the
consulting endeavor.

**SPSS WORKSHOPS.** Introduction to the IBM SPSS statistical
software package with an emphasis on the navigation and use of the software
itself, including a brief introduction to programming in the SPSS Syntax
language.