
This site collects public-facing resources for Intro to Statistics — the concepts, activities, and small reproducible examples behind reasoning with data, evidence, models, and uncertainty. Curated by Matt Hester.
It is a curated resource site, not a raw course archive. Anything syllabus- or roster-specific lives in the LMS; this site is what stays public.
Where to start
- Syllabus — course goals, structure, and policies (sanitized for public view)
- Schedule — week-by-week topic map
- Notes — lecture notes and conceptual write-ups
- Activities — in-class activities and worked examples
- Assignments — homework and lab descriptions
- Projects — small open-ended projects
- Resources — readings, R primers, and links