- Publisher: Pearson; International ed of 4th revised ed edition
- Language: English
- ISBN-10: 0321904648
- ISBN-13: 978-0321904645
- Product Dimensions: 8.5 x 0.6 x 10.8 inches
- Shipping Weight: 1.9 pounds
- Average Customer Review: 63 customer reviews
- Amazon Best Sellers Rank: #9,621,224 in Books (See Top 100 in Books)
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Statistical Reasoning for Everyday Life Paperback – International Edition
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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.
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.
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he taught statistics for more than 30 years. Marty 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. --This text refers to an out of print or unavailable edition of this title.
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But perhaps I should backtrack. First and most important, this version of the book does NOT come with the MyStatLab access code. That edition can be found here: Statistical Reasoning for Everyday Life Plus NEW MyStatLab with Pearson eText -- Access Card Package (4th Edition) It's a mere $9 more than this one, still at the (current) low price of $122.19.
Or, if you decide to play this one like I did, you rent the book for $21 and ask your professor if she has any spare access codes lying around. Pearson Publishing arms professors with a dozen or so free codes, and students never ask for them. A shame, considering I saved $100 by doing so. Anyway, moving on...
I'm going to go out on a limb and guess most people who are considering purchasing this book are either really intelligent, intrinsically-motivated high school students destined to change the world or mathematically-challenged college students who need to fulfill the dreaded math general education credit (don't feel bad if you're among the latter group- I am too, so you're not the ONLY moron who still can't math), which makes reviewing this slab of numbers kind of a useless exercise. I mean, you're going to have to buy it for class even if I tell you it sucks.
Fortunately, Statistical Reasoning for Everyday Life does not suck. In fact, it's organized, well-written, and quite accessible for us beginners. (Again, there's no shame in being stupid- we excel in other areas. Like history. Or intramural athletics.) Math has always been my Area of Great Weakness, but this book carried me through stats class with minimal frustration and zero headaches, which is more than I can say for literally every other tome of mathematics I have ever opened. However, it has one glaring flaw.
Let us visit exercise 20 from section 8.2 "Estimating Population Means." The problem reads: "An economist wants to estimate mean annual income from the first year of work for college graduates who have had the profound wisdom to take a statistics course. How many such incomes must be found if..."
Oh, you're trying to make me feel better about being an idiot? Don't patronize me, book. Take your propaganda elsewhere- preferably to the Science department.
Obviously, this is only one of many such examples. Apart from its self-aggrandizing ways and the occasional reference to something I've never heard of (book: "what would you estimate about Madagascar Ground Gecko populations?" me: "uhhhh..."), I really do have to give this book and its authors credit for writing something even dolts like me can understand without exerting too much of our limited brain power.