Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
by Jonathan A. Poritz
Publisher: Colorado State University, Pueblo 2017
Number of pages: 143
Description:
This is a first draft of a free textbook for a one-semester, undergraduate statistics course. Table of Contents: One-Variable Statistics - Basics; Bi-variate Statistics - Basics; Linear Regression; Probability Theory; Bringing Home the Data; Basic Inferences.
Download or read it online for free here:
Download link
(1.8MB, PDF)
Similar books

by Ivan Lowe - scientificlanguage.com
The book begins by expanding on some of the basic concepts such data types and variables. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations.
(6710 views)

by Bradley Efron, Trevor Hastie - Stanford University
Beginning with classical inferential theories, the book takes up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, etc.
(5365 views)

by Michael Lavine
Upper undergraduate or graduate book in statistical thinking for students with a background in calculus and the ability to think abstractly. The focus is on ideas and concepts, as opposed to technical details of how to put those ideas into practice.
(16956 views)

by Wolfgang K. Hardle, Leopold Simar - Springer
The authors present multivariate data analysis in a way that is understandable to non-mathematicians and practitioners confronted by statistical data analysis. The book has a friendly yet rigorous style. Mathematical results are clearly stated.
(23485 views)