Please first check the infoguides above for information on installing/accessing and using the various softwares. If you need additional help more quickly, please email datahelp@gmu.edu with details so we can best help you.
These are well-organized collections of videos that cover the entire scope of an introductory class (and sometimes more). They can be watched in order, or not.
See the tabs for a list of topics covered with direct links.
Video counts include those showing how to do things in SPSS or JASP.
Particularly good for Regression / GLM , or anybody wanting really slow. His background is Business, including Accounting and Finance, and even has some Time Series. He starts each video with a positive message that you can learn this!
University of Amsterdam / Research Methods & StatisticsSelected playlists are expanded to highlight important topics. Videos are typically 5-8 minutes. Playlists |
Basic Statistics
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Inferential Statistics |
Quantitative Methods
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Each unit has a video with transcript, and downloadable (pdf) Student and Faculty guides.
Based on the AP Statistics Curriculum
Crash Course & Arizona State University
Here is a collection of additional YouTube channels that are useful if you need more on a particular topic. The videos are typically self-contained (or directly refer you to another video). Each of these presenters has a very different style, so hopefully there is something for everybody.
See the tabs for recommendations and/or an organized list (these are linked directly to the YouTube channel)
Dr. Nic's Math and Stats - If other tutorials are too complicated or hard to follow: These videos simplify by focusing only on the most important aspects of every concept with a relatable example, and even have some practice with quizzes. Not always complete, but always useful
Simple Learning Pro - If you need a short and basic explanation of a term or other introductory concept. This is a small collection of videos in a single playlist, but it does a good job of getting quickly to the point.
Z Statistics - If you want to know how everything fits together and/or don't like math: Some videos are intentionally math-free (like a 30 min overview of all of statistics!), while others go deeply (but slowly) into calculations for even advanced topics.
StatQuest with Josh Starmer - If you do better with a slightly faster and sometimes entertaining presentation. This large collection of videos from a professor of genetics does include basic topics, but extends into machine learning and other advanced topics. There are fun hand-drawn pictures, and even some songs.
Videos targeted to high school, early college, and adult learners using friendly examples and graphics. This is only a small collection of some of the most relevant videos. See the link above for many more videos, including probability and examples using Excel.
The videos are grouped by label, but not in playlists. Here are the categories:
A small collection of relevant videos from Data Demystified by Jeff Galak, professor of Marketing at Carnegie Mellon. They use real examples and focus on intuitive understanding.
A medium collection of videos on specific confusing terms both basic and advanced (his favorites). Includes both the basics as well as concepts needed by graduate-level students. Prefers to avoid math, but does teach the understanding of formulas where relevant. Uses the chapters function in YouTube to allow you to skip straight to the parts you need.
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