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BIOLOGY 2701 - DESIGN AND STATISTICAL ANALYSIS

Course Description

This lecture course introduces data analysis, the principles of experimental design, and the formulating and testing of hypotheses. It describes graphical and statistical (t-test, chi-square test, ANOVA) analyses of laboratory and field collected data, and discusses their appropriate use in Biology.

Lecturer  
  Dr. Matt Litvak  
 
mlitvak@mta.ca
  
     
Laboratory Instructor
 
     
     
 
Method Three lecture hours and one 3-hour laboratory per week
 
Prerequisites

Bio 1501 and the completion of the Mathematics/Computer Science requirement on the Bachelor of Science, and at least two second-year Biology courses; or permission of the Department
 
Exclusions Credit cannot be obtained for both BIOL 3701 and BIOL 2701. Note:
Students may count for credit towards a degree a maximum of 6 credits from BIOL 2701, GENS 2431, MATH 2311, and PSYC 2001
 
Course website  
 

 

 

 

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