RA519 Statistical Analysis (3 cr.)

This course introduces basic and fundamental statistics with emphasis on the more sophisticated tests and analysis common to biologists and other researchers. Substantial attention is given to analysis of variance and experimental design.

Upon completion of this course, students are expected to be able to do the following:

1. Understand and use descriptive statistics including measures of central tendency and dispersion.
2. Differentiate between inferential statistics including parametric and nonparametric techniques, and when each might best be employed.
3. Understand the importance of experimental design in the successful conduct of a research project.
4. Apply knowledge of principles, theories and concepts to experimental design, data analysis and interpretation.
5. Demonstrate a continuum of numerical analysis excellence in realm spatial analysis competencies and strategies as identified by the immediate above four student learning objectives.