| Course Code | CSP4210 |
| Course Title | Data Analysis II: Ecological Modeling Using R |
| Description | This statistics course covers a suite of inferential statistical tests. The course will begin with a brief review of important statistics principles covered in Data Analysis I (FIS4200) followed by presentations and computer exercises using a variety of parametric and nonparametric methods. Procedures include two-way ANOVA, mean separation techniques, repeated measures, regression, trend analysis, multiple linear regression, stepwise variable selection, and categorical data analysis (contingency table analysis, Fisher=s Exact Test, logistic regression). Emphasis is placed on appropriate application of testing procedures, understanding test assumptions, and interpretation. The general approach is a topic presentation by an instructor, followed by a instructor-led computer exercise, followed by a independent class computer exercise applying the concepts learned on biological data.
A useful tool for review -
Rice Virtual Lab in Statistics
This class is available for 3 hours of Graduate credit through West Virginia University. The graduate credit option is considerably more rigorous and includes both pre and post course work (readings, writing papers and taking an examination). If you are interested, please follow this link: Graduate Credit |
| Objectives | - Use proper statistical methodology;
- Calculate statistical power;
- Use data description techniques;
- Identify assumptions of inferential statistical methods and use proper alternatives if required; and
- Interpret results of statistical procedures.
|
| Target Audience | Prior completion of Data Analysis I: Statistical Concepts and Techniques (FIS4200) or college statistics course work that covers FIS4200 topics. |
| Prerequisite | |
| Delivery Method | Instructor-Led Classroom Delivery (ILT) |
| Instructional Hours | 38 |
| Credits/CEUs | 2 |
| Primary Contact | JOSEPH WITT; Phone: (304) 876-7447; Email: joe_witt@fws.gov; |
| Secondary Contact | SO LAN CHING; Phone: (304) 876-7771; Email: so_lan_ching@fws.gov; |
| Other Contact | |
| Extracted from DOI LEARN on | 1/31/2010 8:20:33 AM |
