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Statistical Reasoning for Everyday Life (3rd Edition), by Jeffrey O. Bennett, Bill L Briggs, Mario F. Triola
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KEY BENEFIT: Statistical Reasoning for Everyday Life, Third Edition, teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life. This text uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to a variety of subject areas.� The authors include data from real sources to help students become better critical thinkers and decision makers, whether they decide to start a new business, plan for their financial future, or just watch the news.�
KEY TOPICS: Speaking of Statistics; Measurement in Statistics; Visual Displays of Data; Describing Data; A Normal World; Probability in Statistics; Correlation and Causality; From Samples to Populations; Hypothesis Testing; t Tests, Two-Way Tables, and ANOVA.�MARKET: For all readers interested in statistics.
- Sales Rank: #345528 in Books
- Published on: 2008-01-06
- Original language: English
- Number of items: 1
- Dimensions: 9.90" h x .90" w x 8.50" l, 2.12 pounds
- Binding: Paperback
- 512 pages
About the Author
Jeffrey Bennett specializes in mathematics and science education. In addition to his work in mathematics, Dr. Bennett (whose PhD is in astrophysics) has written leading college-level textbooks in mathematics, astronomy, statistics, and the new science of astrobiology, as well as books for the general public. He also proposed and developed both the Colorado Scale Model Solar System on the University of Colorado at Boulder campus and the Voyage Scale Model Solar System, a permanent, outdoor exhibit on the National Mall in Washington, DC. He has recently begun writing science books for children, including the award-winning Max Goes to the Moon and Max Goes to Mars.
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William L. Briggs has been on the mathematics faculty at the University of Colorado at Denver for 22 years. He developed the quantitative reasoning course for liberal arts students at the University of Colorado at Denver, supported by his textbook Using and Understanding Mathematics. He is a University of Colorado President's Teaching Scholar, an Outstanding Teacher awardee of the Rocky Mountain Section of the MAA, and the recipient of a Fulbright Fellowship to Ireland.
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Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he taught statistics for more than 30 years. Marty [change to Dr. Triola to match Dr. Bennett above?] is the author of Elementary Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83/84 Plus Calculator, Essentials of Statistics, and a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life, and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. The Text and Academic Authors Association has awarded Mario F. Triola a “Texty” for Excellence, for his work on Elementary Statistics.
Most helpful customer reviews
9 of 10 people found the following review helpful.
Delivers On Its Promises
By mathtrix
This textbook is well-conceived and well-executed. The authors have a strong background in science as well as a keen interest in making technical subjects accessible to a broad audience. They have succeeded in presenting statistics with a minimum of mathematics. Emphasis is placed upon the application of these concepts to real life situations taken from news sources, the internet and individual experiences. The graphics, sidebars, focus sections and case studies are timely, relevant, engaging, lucidly written and enlightening. A one-page epilog provides a nice summary statement to the entire textbook. A glossary, index, answer key , appendices and suggestions for further reading are also included.
This is an excellent textbook for a general education student whose career would not require the direct use of statistical tools. None of the usual tables are discussed or present in this textbook, but all of the main topics are treated in a thorough and thought-provoking fashion. The authors' discussion of correlation and causality is especially good, although their definition of causality in the glossary as " the relationship present when one variable is a cause of another " is circular. Instead, the authors should reiterate their assertion from the main text that a "cause" is a "physical mechanism" based upon a "physical model" which is generally acceptable as a scientific explanation.
7 of 7 people found the following review helpful.
Written well, easy to understand, but lacking depth at times
By Christine Robbins
I purchased this book for a distance learning course at Univ. of Phoenix, and found that while it gave lots of good information and was written in an easy to understand style, it lacked detailed explanation at time. Overall, though, if you have to study statistics, this is a perfectly decent textbook.
2 of 2 people found the following review helpful.
Book review
By squarepants34
This is a fantastic book if you are taking a statistics class and it is a great book even if you're just a casual stats nerd. This text was required for a stats class I took and it really helped me get through the class with ease. The book provides clear and thorough explanations for statistical operations and definitions. The book even makes a mundane topic like stats seem interesting. The book also does a good job of demonstrating how statistics are applicable to everyday life (as the book title implies). The supplemental SPSS guide is a very good text as well. The SPSS guide is great for beginner users of the SPSS program and it contains instructions for more advanced calculations as well.
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