This course is built around open, student-accessible materials. The main source spine is Introduction to Modern Statistics (2e) from OpenIntro. We will also use selected biomedical and life-science contexts from Introductory Statistics for the Life and Biomedical Sciences, along with course-specific weekly notes, simulation tools, and a custom late-semester meta-analysis unit.
Introduction to Modern Statistics (2e) Mine Çetinkaya-Rundel and Johanna Hardin. OpenIntro.
This is the main open textbook and source spine for the course. We will not necessarily follow every section in textbook order, but many course topics, examples, and practice problems are adapted from or aligned with this text.
Introductory Statistics for the Life and Biomedical Sciences Julie Vu and David Harrington. OpenIntro, First Edition.
This text is used as an optional supplementary resource, especially for biomedical and life-science contexts. Selected sections, examples, or problems may be useful for topics involving health, biology, risk, diagnosis, and biomedical study design. The course does not require students to use R.
The weekly notes on this site, and the late-semester meta-analysis unit, are written specifically for this course. They are designed to emphasize interpretation, study design, uncertainty, evidence, and clear communication.
StatKey and simulation applets are used conceptually — to see sampling variability, randomization, and confidence intervals in action. They are tools for understanding, not software you are required to install or program.
This public site is the course’s reading and review layer. The learning management system and the official institutional syllabus are authoritative for how the course itself is run.