top of page

This website hosts the video lectures for an introductory statistics course. It focuses on visualizing the core logic of applied inferential statistical tests commonly used in psychology. It can be used as a textbook, course lectures, or a supplementary student resource.

Dr. Bryan Koenig, Assistant Professor of Psychology, Southern Utah University,


This video textbook covers the main topics in an introductory statistics course. It focuses on visualizing the core logic behind how inferential testing works. The core logic is visualized by showing the relationships among three kinds of distributions: (1) distributions of observed sample data, (b) sampling distributions, and (c) population distributions. After laying the conceptual foundations (e.g., variables, histograms, z tables), the core logic is explained for the z test, t tests, ANOVAs, correlation, and regression. Chi square tests are also introduced at a basic level. The content emphasizes statistics in psychology, but its relevance is general because statistics are the same across fields.

This is a free, open educational resource. It can be used as a textbook, in place of lectures, and/or as a supplemental student resource—as the instructor sees fit. In my experience, students did as well or better watching these videos with neither a textbook nor standard lectures (in a flipped course, doing in-depth assignments) compared to students in prior semesters who were assigned readings, received these lectures in person, and did less-involved homework and in-class assignments. Closed captioning is done for all videos. The closed captioning text is available for reference in the video description/comments.

Youtube playlist (Bryan Koenig statistics videos)


Below the Table of Contents is advice on how to watch videos and thanks for those who helped put this together.

Some advice I gave my students at the start of the semester when teaching this as a flipped course:

  • Choose a time you are alert.

  • Find a quiet place.

  • Watch on a monitor (not smart phone, iPad = ?).

  • Listen to the lecture.

  • I did closed captioning, so it is accurate.

  • Unsure of something I said … check the closed captioning!

  • Want to look up something later, closed captioning is in the description/comments!

  • Take good notes while viewing (pause!).

  • Complete the video assignment based on notes.

  • Review video as necessary to finish video assignment.

Anchor 1
Anchor 2

Thanks to those who helped put this together:

  1. Southern Utah University for providing the studio, software, and a course release.

  2. Dr. Rosie Liljenquist and Dr. Matt Nickerson for guidance on presence in the videos.

  3. Shane Flanigan and Steven Jackson for recording the videos.

  4. My student-intern team: Kami Muhlestein and Thomas Pace for post-production editing; Kenady Dix, Alexia Daugaard, James Frolli, Maddie McNutt, Victoria Johansen, and Brenna Owen for closed captioning.

  5. All of the great professors who taught me the wonders of statistics.

bottom of page