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Title: Seeing Theory: A Visual Introduction to Probability and Statistics
Url: https://seeing-theory.brown.edu/?vt=4
Creator: Devlin, Tyler
Guo, Jingru
Kunin, Daniel
Xiang, Daniel
Publisher: Brown University
Description: As mathematics instructors and students know, lucid visualizations are essential to helping learners understand complex mathematical concepts. Seeing Theory is an online, interactive textbook that utilizes colorful, interactive visualizations and animations to explain concepts like compound probability and Bayesian Inference. This resource was envisioned by Daniel Kunin (currently a master's student in mathematics and computer science at Stanford University), who created Seeing Theory along with designer Jingru Guo, software engineer Tyler Dae Devlin, and statistics student Daniel Xiang. Seeing Theory contains six chapters, each of which contains three interactive visualizations. Each visualization contains two panels: a short explanation of each concept appears on the left, while a graph or chart appears on the right. In addition, the left panel often contains an interactive element. For instance, in the basic probability module, users are invited to flip a coin, roll a die, and draw a card. As they do so, the graph on the right reflects the outcome of these actions, revealing the principles of basic probability.
LC Classification: Science -- Mathematics -- Mathematical statistics
GEM Subject: Mathematics -- Statistics
Key Concept: Mathematics -- Statistics
Resource Type: Instructional Material
Format: Document -- HTML
Audience: Educator
Learner
Language: English
Access Rights: Free access
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Source Type: Internet Scout
Source: Scout Archives
Full Record Views: 7
Resource URL Clicks: 6
Cumulative Rating: NOT YET RATED
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