Download free course Seeing Theory, pdf file on 66 pages by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang.
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.
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.
Table of contents
- Basic Probability
- Compound Probability
- Probability Distributions
- Frequentist Inference
- Bayesian Inference
- Regression Analysis
| Pages : | 66 |
| Size : | 0.4 MB |
| Downloads: | 62 |
| Created: | 2022-02-03 |
| License: | Open Publication License |
| Author(s): | Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang |
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