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APPLIED STATISTICS FOR BIOMEDICAL ENGINEERS

BME 325
Course Description

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

Declared in Biomedical Engineering and MATH 222

Satisfies
Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.78

0.78% from Historical

Completion Rate
100%

0.55% from Historical

A Rate
71.01%

1.89% from Historical

Class Size
69

14.05% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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