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;
Powerpoint;
Code;
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 |