**OpenIntro Statistics**

by D.M. Diez, C.D. Barr, M. Cetinkaya-Rundel

**Publisher**: OpenIntro 2012**ISBN/ASIN**: 1478217200**ISBN-13**: 9781478217206**Number of pages**: 426

**Description**:

OpenIntro Statistics is intended for introductory statistics courses at the high school through university levels. There are a large selection of exercises at the end of each chapter useful for practice or homework assignments.

Download or read it online for free here:

**Download link**

(9.7MB, PDF)

## Similar books

**Linear Regression Using R: An Introduction to Data Modeling**

by

**David R. Lilja**-

**University of Minnesota**

The book presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models.

(

**2053**views)

**Statistics Done Wrong**

by

**Alex Reinhart**-

**refsmmat.com**

This is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. It assumes no prior knowledge of statistics, you can read it before your first statistics course.

(

**3960**views)

**Differential Geometrical Theory of Statistics**

by

**Frederic Barbaresco, Frank Nielsen (eds)**-

**MDPI AG**

Contents: Geometric Thermodynamics of Jean-Marie Souriau; Koszul-Vinberg Model of Hessian Information Geometry; Divergence Geometry and Information Geometry; Density of Probability on manifold and metric space; Statistics on Paths and Manifolds; etc.

(

**2622**views)

**Multivariate Statistics: Concepts, Models, and Applications**

by

**David W. Stockburger**-

**Missouri State University**

The book for a course in multivariate statistics for first year graduate or advanced undergraduates. It is neither a mathematical treatise nor a cookbook. Instead of complicated mathematical proofs the author wrote about mathematical ideas.

(

**9520**views)