ENS 240 Environmental Statistics

This course introduces statistical methods and data analysis techniques used in environmental science. Students will learn how to manage, visualize, and interpret real-world environmental data using R and RStudio. Topics include descriptive statistics, hypothesis testing, linear regression, ANOVA, generalized linear models, and non-parametric methods. Emphasis is placed on practical applications, critical thinking, and communication of results in scientific contexts. The course includes hands-on labs using authentic datasets to explore current environmental issues.

Credits

4

Prerequisite

Completion of ENS 198, ENS 199, and either MAT 170 or MAT 260 all with a C or better, or completion of the Biology Lower Core with a 2.0 GPA and MAR 200.

Offered

fall and spring semesters.