**Learning Statistics with R**

by Daniel Navarro

**Publisher**: University of Adelaide 2014**Number of pages**: 564

**Description**:

At its core, this is an introductory statistics textbook pitched primarily at psychology students. As such, it covers the standard topics that you'd expect of such a book: study design, descriptive statistics, the theory of hypothesis testing, t-tests, X2 tests, ANOVA and regression.

Download or read it online for free here:

**Download link**

(6.4MB, PDF)

## Similar books

**Statistics: Methods and Applications**

by

**Thomas Hill, Paul Lewicki**-

**StatSoft, Inc.**

A comprehensive statistics textbook for both beginners and advanced analysts. It presents analytic approaches and statistical methods used in science, business, industry, and data mining, written for the real-life practitioner of these methods.

(

**20725**views)

**Introduction to the Theory of Statistics**

by

**A. M. Mood, F. A. Graybill, D. C. Boes**-

**McGraw-Hill**

A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus with no prior knowledge of statistics or probability. Third revised edition.

(

**22060**views)

**Statistics 1**

by

**Keijo Ruohonen**-

**Tampere University of Technology**

Table of contents: Fundamental sampling distributions and data descriptions; One- and two-sample estimation; Tests of hypotheses; X2-tests; Maximum likelihood estimation; Multiple linear regression; Nonparametric statistics; Stochastic simulation.

(

**5703**views)

**Introductory Statistics Notes**

by

**Jamie DeCoster**-

**University of Alabama**

It is important to know how to understand statistics so that we can make the proper judgments when a person presents us with an argument backed by data. Data are numbers with a context. We must always keep the meaning of our data in mind.

(

**6767**views)