42-655 Biostatistics

9 units, Carnegie Mellon University

This course introduces statistical methods for making inferences in engineering, biology and medicine. Students will learn how to select the most appropriate methods, how to apply these methods to actual data, and how to read and interpret computer output from a commonly used statistical package. The topics covered are descriptive statistics; elementary probability; discrete and continuous random variables and their distributions; hypothesis testing involving interval (continuous and discrete) and categorical (nominal and ordinal) variables, for two and three or more treatments; regression analyses; and time-to-event (survival) analysis. Students will also learn how to write the statistical component of a Results section for a scientific paper and learn about the limitations of the statistical analyses. Basic familiarity with probability and probability distribution preferred but not required.

Prerequisites: none listed

Offered: Spring 2027, Spring 2026

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