Introductory Statistics

(11 reviews)

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Multiple Authors, Openstax College

Pub Date: 2013

ISBN 13: 978-1-9381682-0-8

Publisher: OpenStax

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Reviewed by Sandra Porter, Math Instructor, Central Lakes College, on 4/12/2017.

The text covers all of the topics that are included in the Minnesota Transfer Curriculum for an introductory statistics course. Calculator … read more

 

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Reviewed by Caitlin Finlayson, Assistant Professor, University of Mary Washington, on 4/12/2017.

The text covers all of the major concepts students would be expected to learn in an introductory statistics course including sampling and data, … read more

 

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Reviewed by Jonathan Bayer, Associate Professor, Virginia Western Community College, on 4/12/2017.

This book is sufficiently comprehensive for a non-majors introductory statistics course. In terms of content, it offers an adequate number of topics … read more

 

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Reviewed by Wendy Lightheart, Mathematics Faculty, Lane Community College, on 8/22/2016.

This textbook covers all of the usual topics you would expect to cover in an introductory statistics course for non-math majors. There is a glossary … read more

 

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Reviewed by Rudolf Lublinsky, Instructor, Portland Community College, Oregon, on 8/22/2016.

This textbook covers all of the standard topics usually covered in ? descriptive and inferential statistics textbooks for non- mathematicians. The … read more

 

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Reviewed by Jaejin Jang, Associate Professor, University of Wisconsin, Milwaukee, on 1/8/2016.

A Statistics textbook mostly have a standard structure. This bookk covers major subjects of the course. Central limit theorem is given a whole … read more

 

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Reviewed by Vance Revennaugh, Associate Professor, University of Northwestern - Saint Paul, on 6/11/2015.

The text covers most of the areas and ideas of an introductory statistics course, The topics are covered at an appropriate depth. I did not find … read more

 

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Reviewed by Jacqueline Joslyn, Instructor/Teaching Assistant, University of Arizona, on 6/11/2015.

The most important topics are covered. There are some concepts, like stem-and-leaf plots, that may be less critical for students in the social … read more

 

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Reviewed by Edward Dillon, Instructor, Minneapolis Community and Technical College, on 6/11/2015.

This textbook covers all of the standard topics usually covered in an undergradate introductory text including hyhothresis testing and ANOVA. The … read more

 

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Reviewed by Bill Heider, Instructor, Hibbing Community College, on 6/11/2015.

This book covers all the topics typically covered in an introductory level statistics course from an introduction to probability and the basics f … read more

 

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Reviewed by Undupitiya Wijesiri, Professor, Southwest Minnesota State University, on 6/11/2015.

This book covers all necessary content areas for an introduction to Statistics course for non-math majors. The text book provides an effective index, … read more

 

Table of Contents

  • Sampling and Data
  • Descriptive Statistics
  • Probability Topics
  • Discrete Random Variables
  • Continuous Random Variables
  • The Normal Distribution
  • The Central Limit Theorem
  • Confidence Intervals
  • Hypothesis Testing with One Sample
  • Hypothesis Testing with Two Samples
  • The Chi-Square Distribution
  • Linear Regression and Correlation
  • F Distribution and One-Way ANOVA

About the Book

Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.

OpenStax College has compiled many resources for faculty and students, from faculty-only content to interactive homework and study guides.

About the Contributors

Author(s)

Senior Contributing Authors

Barbara Illowsky, De Anza College

Susan Dean, De Anza College