APPLIED STATISTICS FOR BIOMEDICAL ENGINEERS
Learn and apply the fundamentals of descriptive and inferential statistics to analyze data and present the results in appropriate graphical formats. Emphasis will be on applications commonly encountered in biomedical engineering including t-tests, linear regression, analysis of variance, diagnostic tests, ROC curves, and methods for graphing and presenting data. Examples and practice problems will be drawn from biomedical research. Learn how to analyze data and interpret statistical analysis presented in research papers, and will get practical hands-on experience implementing these tools during class in a computer lab setting.
Prerequisites & course information
Requisites: Declared in Biomedical Engineering and MATH 222 Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. interpret statistics that are presented and recognize statistical evidence that supports a conclusion Audience: Undergraduate 2. apply descriptive statistical analysis to data Audience: Undergraduate 3. make inferences based on sampled data (test a hypothesis) Audience: Undergraduate 4. present data and statistical analysis in appropriate graphical format Audience: Undergraduate Learning Outcomes: 1. interpret statistics that are presented and recognize statistical evidence that supports a conclusion Audience: Undergraduate 2. apply descriptive statistical analysis to data Audience: Undergraduate 3. make inferences based on sampled data (test a hypothesis) Audience: Undergraduate 4. present data and statistical analysis in appropriate graphical format Audience: Undergraduate
Sources
- Course catalogue ↗2026-2027