Statistics | Statistical Methods 1: Introduction to Statistics
S501 | 30097 | Kathryn Whitlock

In Statistical Methods I, we take a systematic approach to the
application of statistical concepts to problems commonly encountered
in research settings, with the objective of teaching students how to
think creatively about the use of statistical methods in their own
research.  This course is intended for first-year graduate students in
programs such as Optometry, Criminal Justice, and Psychology, as well
as others, who are interested in reviewing and expanding on
introductory statistical knowledge obtained during undergraduate
education.  After a review of fundamental concepts in statistics
(e.g., issues of measurement, probability, estimation, and hypothesis
testing), we will turn our attention to regression analysis, including
variable selection, model diagnostics, remediation, and validation.
Computers are a fundamental tool of modern statistical analysis; thus,
students will learn the computing methods and data analysis techniques
necessary to apply statistical concepts during weekly computer lab
sessions.  By the end of this course, students are expected to be able
to identify and carry out appropriate statistical analyses, and to
interpret results both statistically and in context.