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| BIOLOGY 4711 - ADVANCED DESIGN AND STATISTICAL ANALYSIS |
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Course Description This is an applied course dealing with the collection and analysis
of biological data. Basic techniques will be reviewed, and students
will be exposed to a variety of statistical techniques including advanced
ANOVA and regression, techniques for categorical data, resamping
methods, MANOVA and other multivariate techniques. The range
of topics covered depends to some extent on the interest and
experience of the participants. Experimental design issues such
as power analysis and pseudoreplication will be considered throughout.
The focus of this course is on teaching students how to design
studies with clear hypotheses, select appropriate statistical
methods, and carry out the analyses. Students will apply the
techniques they have learned in lecture to real data sets. The
course is intended for upper-level undergraduates with an interest in analysis of biological data.
It would be especially beneficial for those who are either pursuing
honours or wish to do so, and for those who intend to continue
on to graduate studies. |
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| Lecturer | ![]() |
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| Dr. Diana Hamilton | ||
| dhamilton@mta.ca | ||
| Laboratory Instructor | ||
| Method | Three lecture hours and one 1 hour tutorial per week. | |
| Prerequisites | MATH 2311, or PSYC 2011, or BIOL 2701, or GENS 2431; or permission of the Department |
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| Exclusions | None | |
| Course website | ||
Biology Website maintained by R. Aiken |
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