**Collaborative Statistics**

by Barbara Illowsky, Susan Dean

**Publisher**: Illowsky Publising 2012**Number of pages**: 728

**Description**:

Collaborative Statistics was written by Barbara Illowsky and Susan Dean, faculty members at De Anza College in Cupertino, California. The textbook was developed over several years and has been used in regular and honors-level classroom settings and in distance learning classes. This textbook is intended for introductory statistics courses being taken by students at two- and four-year colleges who are majoring in fields other than math or engineering. Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Concepts and Applications of Inferential Statistics**

by

**Richard Lowry**

Free full-length textbook written by a professor of psychology at Vassar College in Poughkeepsie, it offers teachers and students of statistics lots of information. The book covers probability, distribution and correlation, and regression.

(

**12917**views)

**Foundations in Statistical Reasoning**

by

**Pete Kaslik**

Contents: Statistical Reasoning; Obtaining Useful Evidence; Examining the Evidence Using Graphs and Statistics; Inferential Theory; Testing Hypotheses; Confidence Intervals and Sample Size; Analysis of Bivariate Quantitative Data; Chi Square; etc.

(

**1576**views)

**Lectures on Statistics**

by

**Robert B. Ash**-

**University of Illinois**

These notes are based on a course that the author gave at UIUC. No prior knowledge of statistics is assumed. A standard first course in probability is a prerequisite, but the first 8 lectures review results that are important in statistics.

(

**11852**views)

**First Course in Statistics**

by

**D Caradog Jones**-

**G Bell**

First part of the book is within the understanding of the ordinary person. Part 2 is more mathematical, but the results are explained in such a way that the reader shall gain a general idea of the theory and applications without mastering the proofs.

(

**12422**views)