**Using R for Introductory Statistics**

by John Verzani

**Publisher**: Chapman & Hall/CRC 2004**ISBN/ASIN**: 1584884509**ISBN-13**: 9781584884507**Number of pages**: 114

**Description**:

The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R.

Download or read it online for free here:

**Download link**

(2.1MB, PDF)

## Similar books

**Mathematical Statistics**

by

**Henry Lewis Rietz**-

**Open Court Pub. Co**

The book shifts the emphasis in the study of statistics in the direction of the consideration of the underlying theory involved in certain important methods of statistical analysis, and introduces mathematical statistics to a wider range of readers.

(

**7056**views)

**Statistical Tools for Economists**

by

**Daniel McFadden**-

**University of California, Berkeley**

The contents: Economic Analysis and Econometrics; Analysis and Linear Algebra in a Nutshell; Probability Theory in a Nutshell; Limit Theorems in Statistics; Experiments, Sampling, and Statistical Decisions; Estimation; Hypothesis Testing.

(

**19489**views)

**Stats without Tears**

by

**Stan Brown**-

**BrownMath.com**

This book is an alternative to the usual textbooks for a one-semester course in statistics. The author tried to make statistics approachable to anyone with high-school math, but it's still a technical subject. There is very little use of formulas.

(

**5773**views)

**Applied Statistics**

by

**Mohammed A. Shayib**-

**Bookboon**

The book introduces the concepts, definitions, and terminology of the subject in an elementary presentation with a mathematical background which does not surpass college algebra. It should prepare the reader to make a good decision based on data.

(

**9286**views)