Statistical Reasoning for Everyday Life

by Jeffrey O. Bennett, William Briggs, Mario Triola

For courses in Statistical Literacy A qualitative approach teaches students how to reason using statistics Understanding the core ideas behind statistics is crucial to everyday success in the modern world. Statistical Reasoning for Everyday Life is designed to teach these core ideas through real-life examples so that students are able to understand the statistics needed in their college courses, reason with statistical information in their careers, and to evaluate and make everyday decisions using statistics. The authors approach each concept qualitatively, using computation techniques only to enhance understanding and build on ideas step-by-step, working up to real examples and complex case studies. The Fifth Edition has been revised to update many exercises, examples, and case studies to engage today’s students with the latest data and relevant topics. Also available with MyLab Statistics MyLab™ Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. If you would like to purchase both the physical text and MyLab Statistics, search
0134701364 / 9780134701363 Statistical Reasoning for Everyday Life Plus NEW MyLab Statistics with Pearson eText -- Access Card Package, 5/e Package consists MyLab Statistics should only be purchased when required by an instructor.

Genres: Textbooks, Mathematics, Reference, School, Nonfiction

448 pages, Paperback

First published October 17, 2000

Reviews

[J. · Rating 5 out of 5]

This book was informative on the subject of statistics and provided meaningful examples and interesting facts in its "by the way" sections. I used Joseph Healey's Statistics: A Tool for Social Research for a statistics course years ago, and it would be a perfect alternate to this book, as that text seems to use most of the terms this book calls "alternates" (for example, the Healey text uses the term class interval, but Bennett uses bin primarily, and calls class interval an alternative phrase). My former statistics professor had never heard the term "bin" before.

I don't know what else could be said. It does its job.

[Serge Ter Braake · Rating 5 out of 5]

Recommended reading for any student. Basic principles of statistics are explained very well and will be an equally useful introduction for computer scientists, chemists, historians, sociologists, et cetera.

[Hannah · Rating 4 out of 5]

This textbook is really simple and easy to understand. I love the little fun facts in every chapter. t makes reading the next section, not much of a chore when yu have little interesting facts to look forward to. Without my teacher thoug, I believe that I would not have a clear understanding of all the concepts in the book. The teacher cleared up a few issues that I personally had some trouble with. Without my teacher, I would not have understood everything. It would have also helped if the download cd came with instructions, because I was at a lose with how to download it. I tried, but nothing was really working. So, I just used the computers on campus for the practical applications.

[Anna · Rating 4 out of 5]

I still only vaguely understand statistics but at least the book was mostly interesting.

[Latasha · Rating 3 out of 5]

Math sucks. The online homework/quiz program was great though.

[David McClendon, Sr · Rating 5 out of 5]

As far as statistics textbooks go, this is a good one. It helps to make sense of some fairly difficult concepts.

[Stephanie Apicella]

I passed the class that is all that matters