BIOE 186 Experimental Design and Data Analysis

Students provided with the programming and statistical tools needed to undertake experimental design and data analysis in ecology and evolutionary biology—from data manipulation, exploration, and visualization to interpretation. Lectures and lab practicals provide a primer on: R programming, basic statistics and probability, hypothesis testing, linear regression, analysis of variance, multiple regression, and categorical data analysis. Students cannot receive credit for this course and BIOE 286. Enrollment is restricted to sophomore, junior, and senior biology, ecology and evolution, plant sciences, and marine biology majors and by permission of the instructor.