Using highly interactive learning design, this Concepts in Statistics course provides students with a strong understanding of fundamental principles that guide the study of statistical inference. Drawing from Open Learning Initiative (OLI) source content, this course’s simulations and lab-style synthesis activities invite hands-on exploration of statistical concepts. Students learn to summarize data graphically and numerically; examine relationships among quantitative data; understand the role of probability and probability distributions; link probability to statistical inference; and conduct foundational statistical calculations and analyses.

Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.

OpenIntro Statistics is a dynamic take on the traditional curriculum, being successfully used at Community Colleges to the Ivy League

The Statistics team attempted to identify the most common topics that are covered in such an introductory course in statistics. Through a collaborative effort involving Statistics faculty, instructional designers, instructional technologists, and librarians across the UNC System, the course materials and resources have been collected, curated, and organized into modules. The modules may be used in part or in total as a basis for an Introduction to Statistics course. As you review the collection to find materials that could serve your needs, you may find that there are a number of student learning outcomes that your institution does not include in its Introduction to Statistics courses. We recognized that different institutions may emphasize different topics, so we wanted to offer resources that would align with the largest possible cross-section of those topics.

We also approached this project with the view that the resource collection should serve instructors with varied levels of online teaching experience and different needs. We aimed to provide a library of resources that could be used to create a full Introduction to Statistics course but have presented those resources in a way in which faculty could select any subset of the resources to serve their needs.

Introduction to Statistics course collection video from the UNC System OER project. This one-minute video is meant for students. It focuses on what students may think they know about the topic, what students could learn from taking the course, and a brief introduction to open educational resources.