Analyzing Environmental Data

Intermediate-level undergraduate course in applied statistics and data analysis emphasizing statistical methods for designing, planning, and analyzing ecological-environmental projects. Statistics will be discussed as one tool for informing environmental policy, management, and decision-making. Techniques include estimation and visualization, data cleaning and organizing, ANOVA, linear regression, and power analysis. Classical hypothesis testing as well as estimation-based approaches will be applied. Students will gain experience working with real-world environmental data sourced from local, regional, and Indigenous-governed sources (where appropriate) and prepare for more independent research and data analysis. Prerequisite: MATH165.