Offered in 2007-2010 (others
not offered by Prof. Spence during his tenure as Director of the Cognitive
PSY 201F Statistics I
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An introduction to the uses of statistics in Psychology. Descriptive
statistics, exploratory data analysis, estimation, hypothesis testing,
and an elementary introduction to experimental design are covered.
201F Statistics II
An introduction to analyzing expeimental data
using a computer. Students use SPSS to perform descriptive and exploratory
data analyses, regression, and analysis of variance. The classical designs
are covered: randomized, blocking, factorial, repeated measures, and
299Y Research Opportunities Program
This provides an opportunity for students
in their second year to work on a research project. Students learn research
methods and share in the excitement of discovering new knowledge while
earning course credit toward their degree.
305F Treatment of Psychological Data
Students with a previous full-year course
in statistics learn how to use SAS, a statistical analysis system, to
perform descriptive and exploratory data analyses, as well as regression
and analysis of variance. We also treat the analysis of counted data
and the creation and interpretation of statistical graphs.
378F Engineering Psychology
The focus is on the principles that underlie
the design of human-machine interfaces. Examples are drawn from aviation,
display design, and human-computer interaction. Students work in small
teams and are required to complete a major project in aviation safety.
2001F Design of Experiments I
After a review of basic concepts in probability
and statistics, we treat the classic designs and the standard algebraic
methods of analysis for orthogonal layouts. We emphasize design and
interpretation rather than the mathematical or computational aspects.
The SAS sytem is used for all statistical analysis.
2002F Design of Experiments II
The general linear model (GLM) approach to
regression and ANOVA/ANCOVA/MANOVA is introduced and covered in detail.
We discuss the classical designs as well as incomplete and non-orthogonal
designs. Computational issues receive exended treatment.