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Seeing Theory: A Visual Introduction to Probability and Statistics

  • Category: Computer
  • Author: Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang
  • File type: PDF

Read and download free eBook intituled Seeing Theory: A Visual Introduction to Probability and Statistics in format PDF created by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang.

Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js).

Statistics is quickly becoming the most important and multi-disciplinary field of mathematics. According to the American Statistical Association, statistician is one of the top ten fastest-growing occupations and statistics is one of the fastest-growing bachelor degrees. Statistical literacy is essential to our data driven society.

Despite the increased importance and demand for statistical competence, the pedagogical approaches in statistics have barely changed. Using Mike Bostock’s data visualization software, D3.js, Seeing Theory visualizes the fundamental concepts covered in an introductory college statistics or Advanced Placement statistics class. Students are encouraged to use Seeing Theory as an additional resource to their textbook, professor and peers.

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Seeing Theory: A Visual Introduction to Probability and Statistics

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