StatLens for IMSStatLens
StatLens is a free, WCAG-accessible, mobile-friendly statistics toolkit. Like Introduction to Modern Statistics (IMS) by Çetinkaya-Rundel & Hardin, it is simulation-first — it teaches inference through bootstrapping and randomization before mathematical models — and it uses OpenIntro datasets throughout. This page maps every StatLens tool to the IMS chapter it supports, so if you teach from IMS you can find the right tool for each chapter.
StatLens uses OpenIntro's datasets (CC BY-SA) and shares IMS's simulation-first approach. It is an independent community project — not affiliated with or endorsed by OpenIntro — and it is not built to follow the IMS chapter order (StatLens groups its own tools by statistical procedure). This page is a cross-reference for IMS instructors; the chapter numbers below follow IMS. StatLens is offered back to the community as free, open-source software (AGPL-3.0).
Where inference is involved, StatLens offers up to four views of the same question: Explore the data, a Bootstrap CI and a Randomization test (simulation), and a traditional Confidence Interval and Hypothesis Test. CI pages are marked with a left bar.