Steury Lab

Wildlife ecology research at Auburn University

Home

Courses Research People Publications Join the lab

WILD 5750/6750 - Analysis for Wildlife Sciences



Note that this course has now been complete integrated into canvas. This website has been left up for those seeking information about the course. 

Course Materials:

Syllabus

How to load Poptools on the lab computer

Bestiary of statistical tests

Lecture and Lab Material

Class Date Topics, Code, Data, and Readings for next class
Lecture 1 01/08 Syllabus; Purpose of statistics; Truth versus facts
  01/08 No Lab
Lecture 2 01/10 Scientific Method
Lecture 3 01/13 Variables; Bestiary of statistical tests
Lecture 4 01/15 Statistical vs. Biological Hypotheses
Lab 0   An introduction to R; CODE;
Lecture 5 01/17 Introduction to regression; Quiz 1 due
  01/20 No Class - MLK Holiday
Lecture 6 01/22 Regression in R; Code; Data
Lab 1   Assignment #1; Regression;
Lecture 7 01/24 The p-value; Quiz 2 due
Lecture 8 01/27 Reporting results
Lecture 9 01/29 Regression equations; how to fit
Lab 2   Assignment #2; Regression again
Lecture 10 01/31 Assumptions of Regression; Quiz 3 due
Lecture 11 02/03 Testing Assumptions of Regression in R; Code; Data
Lecture 12 02/05 Regression coefficient of determination;
Lab 3   Assignment #3; Regression - advanced topics
Lecture 13 02/07 Confidence intervals; Code; Quiz 4 due
Lecture 14 02/10 Prediction in regression
Lecture 15 02/12 Prediction in regression using R; Code
Lab 4   Assignment #4; Regression - advanced topics II
Lecture 16 02/14 Review of T-tests; relationship between T-test and Regression; Quiz 5 due
Lecture 17 02/17 Analysis of T-tests in R; Code; Data;
Lecture 18 02/19 Effects of sample size on significance; Johnson 1999;
Lab 5   Assignment #5; T-tests
Lecture 19 02/21 The basics of experimental design; Quiz 6 due
Lecture 20 02/24 Review for midterm
Lecture 21 02/26 Review for midterm
Mid-term   Mid-term exam; Midterm Exam Data
Lecture 22 02/28 Introduction to ANOVA; Relationship between general linear modeling and ANOVA
Lecture 23 03/02 ANOVA in R; Code; Data
Lecture 24 03/04 Review of midterm exam;
Lab 6   Assignment #6; ANOVA
Lecture 25 03/06 Regression or ANOVA on continuous X variables? Quiz 7 due; Video recording of lecture
    Spring Break - March 09-13, no class!
Lecture 26 03/16 No Class; instructor traveling. Optional video: Comparing Regression to ANOVA; Data; Code;
Lecture 27 03/18 No Class; instructor traveling.
Lab 7   Assignment #7; ANOVA versus regression
Lecture 28 03/20 Introduction to post-hoc tests; Quiz 8 due
Lecture 29 03/23 Introduction to post-hoc tests (continued)
Lecture 30 03/25 Post-hoc tests in R. Code; Data
Lab 8   Assignment #8; ANOVA - Post hoc tests
Lecture 31 03/27 Introduction to muti-variable modeling; Quiz 9 due
Lecture 32 03/30 Introduction to ANCOVA
Lecture 33 04/01 ANCOVA in R; Code; Data; Data
Lab 9   Assignment #9; ANCOVA
Lecture 34 04/03 Multi-factor ANOVA and multiple regression theory; PowerpointCode; Data1; Data2; Reading for next class: Hurlbert 1984; pg 198 (Pseudoreplication in Manipulative Experiments) to end of pg. 206; Quiz 10 due
Lecture 35 04/06 Pseudoreplication
Lecture 36 04/08 Confounding variables and collinearity
Lab 10   Assignment #10; Multi-factor ANOVA and multiple regression
Lecture 37 04/10 Introduction to interactions; Reading for next class: Odadi et al. 2011; Quiz 11 due
Lecture 38 04/13 Discussion of Odadi et al. 2011 and interactions
Lecture 39 04/15 Interactions continued: Interactions in R; Data; CODE; Data2;
Lab 11   Assignment #11; Interactions
Lecture 40 04/17 Introduction to Generalized linear models; Quiz 12 due
Lecture 41 04/20 Poisson regression in R; CODE; Data;
Lecture 42 04/22 Logistic regression in R; Code; Data1
Lab 12   Assignment #12; Logistic and Poisson  regression
Lecture 43 04/24 Review; Quiz 13 due
Final 04/30 Final Exam; 8:00 A.M. in SFWS 2216; DATA FOR TUESDAY EXAM

Auburn University School of Forestry and Wildlife Sciences © Todd Steury 2008