Environmental Data Analysis

Course Overview

This course encourages successful ecological field research by building skills in hypothesis generation, experimental design, data screening, use of correct statistical analyses, and effective presentation of results. Basic univariate parametric and non-parametric statistical procedures (chi-square and related tests; ANOVA; regression and correlation analyses; generalized linear models) are reviewed. Through lectures, in- class laboratory exercises using R, group homework projects, and analysis of quantitative methods used in current studies of conservation biology, students develop skills needed to design effective field research aimed at biodiversity conservation and natural lands management.

Course Materials: Students should contact the course instructor and review the course syllabus for information related to course materials/texts.