Biostatistics I

Catalog description

This course is designed to introduce students to the fundamentals of experimental design, parameter estimation via sampling, and statistical inference. Emphasis will be placed on the selection and appropriate use of widely used statistical methods in the life sciences (e.g., t-tests, correlation, general linear modeling). Students will also learn the principles of model criticism and how to assess whether data meet the assumptions of a variety of inferential statistical approaches. Students will gain hands-on experience with statistical computing, with the goal of developing students’ abilities to implement the methodologies covered in the course using a modern statistical computing environment (e.g., R; www.r-project.org).