Seeing Theory
A Visual Introduction to Probability and Statistics
Book Details
| Authors | Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang |
| Publisher | Brown University |
| Published | 2018 |
| Edition | 1st |
| Paperback | 66 pages |
| Language | English |
| License | Open Access |
Book Description
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.
The authors have developed a collection of 15 interactive visualizations, each of which presents a bite-sized concept that is encountered in an introductory statistics curriculum.
This book is published as open-access, which means it is freely available to read, download, and share without restrictions.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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