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: Think Stats: Probability and Statistics for ProgrammersThink Stats: Probability and Statistics for Programmers
by - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(23084 views)
Book cover: Probability and Statistics: A Course for Physicists and EngineersProbability and Statistics: A Course for Physicists and Engineers
by - De Gruyter Open
This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. Designed for students in engineering and physics.
(8791 views)
Book cover: Introduction to Probability and Statistics Using RIntroduction to Probability and Statistics Using R
by
A textbook for an undergraduate course in probability and statistics. The prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.
(10661 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.
(14817 views)