Logo

Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics

Small book cover: Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics

Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
by

Publisher: Colorado State University, Pueblo
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.

Home page url

Download or read it online for free here:
Download link
(1.8MB, PDF)

Similar books

Book cover: Introductory Statistics: Concepts, Models, and ApplicationsIntroductory Statistics: Concepts, Models, and Applications
by - Missouri State University
This e-book is a complete interactive study guide with quizzing functionality that reports to the instructor. The on-line text also has animated figures and graphs that bring the print graphic to life for deeper understanding.
(14183 views)
Book cover: Statistical Inference for EveryoneStatistical Inference for Everyone
by - Save The Broccoli Publishing
This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester.
(6027 views)
Book cover: Beginning StatisticsBeginning Statistics
by - lardbucket.org
This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market.
(5936 views)
Book cover: Using R for Introductory StatisticsUsing R for Introductory Statistics
by - Chapman & Hall/CRC
A self-contained treatment of statistical topics and the intricacies of the R software. The book focuses on exploratory data analysis, includes chapters on simulation and linear models. It lays the foundation for further study and development using R.
(21984 views)