Prerequisites: ENV 505, completion of 15 credits of required courses in the ENV program and at least a 3.0 grade point average, or permission of the instructor. (First semester/3 credits)
This course introduces the concepts and computational techniques of multiple linear regression, logistic regression, chi-square, and nonparametric multivariate analysis. Methods to optimize study design are stressed. Extensive use of a statistical software package will be used in laboratory exercises. The ability to critically evaluate the scientific merit of research proposals in environmental biology will be developed through peer review exercises. Applications of statistical techniques to global climate change will be emphasized. Comprehensive individual research proposals will be developed as the term project.