Biometry: Design and Analysis of Ecology Research  4

Examines research design from statistical perspective, showing how data
analysis is largely determined by research design and its implementation.
Reviews statistical tools for analysis of ecological data in the context of design.
Prerequisite: Graduate standing. (F)

 

Syllabus, Fall 2006

 

Labs:

Lab #1 - The UNIX Environment

Lab #2 - A Gentle Introduction to SAS Problem set

Lab #3 - Data Manipulation in SAS Problem set

Lab #4 - Describing Data in SAS Problem set

Lab #5 - The World of PROCS PROCS PROCS Problem set

Lab #6 - Randomization and Replication Problem set

Lab #7 - An Integrated SAS Exercise Problem set

Lab #8 - 1- and 2-Sample Comarisons Problem set

Lab #9 - Analysis of Variance I Problem set

Lab #10 - Analysis of Variance II Problem set

Lab #11 - Correlation and Contingency Analyses Problem set

Lab #12 - Linear Regression Problem set

Lab #13 - Logistic Regression and Logit Anaylsis Problem set

Lab #13 - Log-linear Models Problem set