Collaborative Statistics

(14 reviews)


Barbara Illowsky, De Anza College
Susan Dean, De Anza College

Pub Date: 2012

ISBN 13: 978-0-9787450-7-3

Publisher: OpenStax CNX

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Reviewed by Whitney Zimmerman, Assistant Teaching Professor, The Pennsylvania State University, on 2/2/2018.

The text covers the topics typically covered in a traditional undergraduate-level introductory statistics course. I did notice that the text does not … read more



Reviewed by Angela Fishman, Assistant Teaching Professor, Penn State University, on 2/2/2018.

The contents are very typical of any introductory statistics book and more than enough for a 3-credit course for non-majors.… read more



Reviewed by Larry Musolino, Lecturer, Mathematics, Penn State University, on 2/2/2018.

The textbook is very comprehensive and appears to cover most topics in an introductory statistics course. One topic that does not appear to be … read more



Reviewed by Deborah Wall, Asst. Professor, American University, on 2/2/2018.

Book covers the topics we currently cover in our Basic Statistics course… read more



Reviewed by David Grollimund, Assistant Professor, Colorado State University - Pueblo, on 2/2/2018.

The text includes topics one would expect to find in an introductory statistics course for non-math majors. The index, while functional, is not … read more



Reviewed by Deborah Hendricks, Clinical Associate Professor, West Virginia University, on 12/6/2016.

The text is very comprehensive of the materials I teach in a first semester statistics course. I sometimes include Two-Way ANOVA, but not always … read more



Reviewed by Emily Rauscher, Assistant Professor, University of Kansas, on 8/22/2016.

This text covers all of the topics required in most introductory statistics courses – at least social science statistics. Students typically struggle … read more



Reviewed by Christopher Stapel, Community Faculty, Metropolitan State University, on 8/22/2016.

This text covers most standard topics in the introductory course in statistics, including sampling, probability, descriptive statistics, and … read more



Reviewed by Kenneth Cheng, Instructor, Portland Community College, on 1/8/2016.

It covers essentially all the topics that would be expected in an introductory statistics course.… read more



Reviewed by Mamfe Osafo, Mathematics Instructor, Centrral Lakes College , on 1/8/2016.

The text covers all the areas needed for an Introduction to Statistics or Elementary Statistics. However there should have been instruction on how … read more



Reviewed by Kurt Colvin, Professor, California Polytechnic State University, on 7/16/2014.

For an introductory course or a reference, this book has comprehensive coverage of the intended content. Both the table of contents and index are … read more



Reviewed by RIchard Lockhart, Professor and Chair, Simon Fraser University, on 10/10/2013.

This textbook is very long and covers a certain scope of material very completely at the level it targets. The number of procedures covered … read more



Reviewed by Robin Susanto, Instructor, Langara College, on 10/10/2013.

The text covers most of the topics I teach in an Introductory Statistics course, and covers them at the appropriate depth. Two emissions are … read more



Reviewed by Shane Rollans, Senior Lecturer, Thompson Rivers University, on 10/10/2013.

The text covers most of the areas that would normally be included in an introductory course with a few exceptions that I will note later. The … read more


Table of Contents

  • Preface
  • Additional Resources
  • Author Acknowledgements
  • Student Welcome Letter
  • 1. Sampling and Data
  • 2. Descriptive Statistics
  • 3. Probability Topics
  • 4. Discrete Random Variables
  • 5. Continuous Random Variables
  • 6. The Normal Distribution
  • 7. The Central Limit Theorem
  • 8. Confidence Intervals
  • 9. Hypothesis Testing: Single Mean and Single Proportion
  • 10. Hypothesis Testing: Two Means, Paired Data, Two Proportions
  • 11. The Chi-Square Distribution
  • 12. Linear Regression and Correlation
  • 13. F Distribution and ANOVA
  • 14. Appendix
  • 15. Tables

About the Book

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. Courses using this textbook have been articulated by the University of California for transfer of credit. The textbook contains full materials for course offerings, including expository text, examples, labs, homework, and projects. A Teacher’s Guide is currently available in print form and on the Connexions site at  and supplemental course materials including additional problem sets and video lectures are available. The on-line text for each of these collections collections will meet the Section 508 standards for accessibility.

An on-line course based on the textbook was also developed by Illowsky and Dean. It has won an award as the best on-line California community college course. The on-line course will be available at a later date as a collection in Connexions, and each lesson in the on-line course will be linked to the on-line textbook chapter. The on-line course will include, in addition to expository text and examples, videos of course lectures in captioned and non-captioned format.

The original preface to the book as written by professors Illowsky and Dean, now follows:

This book 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. The text is named Collaborative Statistics because students learn best by doing. In fact, they learn best by working in small groups. The old saying “two heads are better than one” truly applies here.

Our emphasis in this text is on four main concepts:

  • thinking statistically
  • incorporating technology
  • working collaboratively
  • writing thoughtfully

These concepts are integral to our course. Students learn the best by actively participating, not by just watching and listening. Teaching should be highly interactive. Students need to be thoroughly engaged in the learning process in order to make sense of statistical concepts. Collaborative Statistics provides techniques for students to write across the curriculum, to collaborate with their peers, to think statistically, and to incorporate technology.

This book takes students step by step. The text is interactive. Therefore, students can immediately apply what they read. Once students have completed the process of problem solving, they can tackle interesting and challenging problems relevant to today’s world. The problems require the students to apply their newly found skills. In addition, technology (TI-83 graphing calculators are highlighted) is incorporated throughout the text and the problems, as well as in the special group activities and projects. The book also contains labs that use real data and practices that lead students step by step through the problem solving process.

At De Anza, along with hundreds of other colleges across the country, the college audience involves a large number of ESL students as well as students from many disciplines. The ESL students, as well as the non-ESL students, have been especially appreciative of this text. They find it extremely readable and understandable. Collaborative Statistics has been used in classes that range from 20 to 120 students, and in regular, honor, and distance learning classes.

About the Contributors


Barbara Illowsky is a Professor of Mathematics & Statistics at De Anza College in Cupertino, California. PhD in Education from Capella University.  


Susan Dean is a mathematics professor at De Anza College in Cupertino, California.