Biology 4605/7220

Biology 4605/7220

Biology 4605/7220
Model Based Statistics in Biology

David Clayton Schneider
Professor, Ocean Sciences and Department of Biology, Memorial University

Syllabus for Fall 2011

Course Outline

Part 1	Quantitative Background
Part 2	Quantifying Uncertainty	Review Questions
Part 3	The General Linear Model. Single Explanatory Variable
Part 4	The General Linear Model. Multiple Explanatory Variables	Review Questions
Part 5	The Generalized Linear Model	Review Questions
Part 6	Extensions of the General Linear Model.	Review Questions
	Course Review	Review Questions
		How to study for this course

Statistical Formulae

Reference Material

Labs

Lab 1	Inferential Cards
Lab 2	Equations
Lab 3	Probability Values from Distribution Functions
Lab 4	Probability Values by Randomization
Lab 5a	The General Linear Model - Regression
Lab 5b	The General Linear Model - Regression with Randomization
Lab 6ab	The General Linear Model: Single Factor ANOVA
Lab 7	The General Linear Model: Multifactor ANOVA
Lab 8	The General Linear Model. ANCOVA
Lab 9a	Problem-Solving with the GLM. Setting up the Analysis
Lab 9b	Problem-Solving with the GLM. Executing the Analysis
Lab 10	Logistic Regression
Lab 11	Bootstrap Estimates
	Guide to computing at Memorial University
	Commands in Minitab SAS
	Command files for Systat SPSS

Data Files

Results from Lab 1

Getting started srbx1311.dat srbx9_5.dat

Data for Labs

Published articles with Data for assignments

More Data

About the Graduate Projects

Examples