Seeing Theory
A Visual Introduction to Probability and Statistics
by Daniel Kunin, Jingru Guo, Tyler Dae Devlin, Daniel Xiang
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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. 
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 open book is licensed under a Open Publication License (OPL). You can download Seeing Theory ebook for free in PDF format (0.4 MB).
Table of Contents
Chapter 1
Basic Probability
Chapter 2
Compound Probability
Chapter 3
Probability Distributions
Chapter 4
Frequentist Inference
Chapter 5
Bayesian Inference
Chapter 6
Regression Analysis
Book Details
Title
Seeing Theory
Subject
Computer Science
Publisher
Brown University
Published
2018
Pages
66
Edition
1
Language
English
PDF Size
0.4 MB
License
Open Publication License
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