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BIOLOGY 4711 - ADVANCED DESIGN AND STATISTICAL ANALYSIS

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.

Lecturer  
  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

 
Exclusions None
 
Course website  
 

 

 

 

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