Logo

Seeing Theory: A visual introduction to probability and statistics

Small book cover: Seeing Theory: A visual introduction to probability and statistics

Seeing Theory: A visual introduction to probability and statistics
by

Publisher: Brown University
Number of pages: 66

Description:
The intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher on the material.

Home page url

Download or read it online for free here:
Download link
(320KB, PDF)

Similar books

Book cover: CK-12 Basic Probability and Statistics: A Short CourseCK-12 Basic Probability and Statistics: A Short Course
by - CK-12.org
CK-12 Foundation's Basic Probability and Statistics– A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.
(19489 views)
Book cover: Reversible Markov Chains and Random Walks on GraphsReversible Markov Chains and Random Walks on Graphs
by - University of California, Berkeley
From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.
(13084 views)
Book cover: Probability and Statistics CookbookProbability and Statistics Cookbook
by
The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.
(18151 views)
Book cover: Basic Data Analysis and More: A Guided Tour Using PythonBasic Data Analysis and More: A Guided Tour Using Python
by - arXiv
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).
(13371 views)