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Introduction to Probability and Statistics, by William Mendenhall, Robert Beaver
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This classic text, focuses on statistical inference as the objective of statistics, emphasizes inference making, and features a highly polished and meticulous execution, with outstanding exercises. This revision introduces a range of modern ideas, while preserving the overall classical framework..
- Sales Rank: #5660765 in Books
- Published on: 1994-03-09
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 7.75" w x 1.00" l,
- Binding: Hardcover
- 768 pages
Review
"This edition represents a significant improvement and modernization of a text which was already the best of its kind. The authors have done a wonderful job, particularly with integrating a computerized statistical tool. I commend them."
"I always felt comfortable with the examples used in the textbook because they are usually real-life data. . . .The Tenth Edition brought a welcome change by adding a few 'feel-at-home' type of problems, which help students' understanding of the concepts they are about to learn at first. This is a great idea. I believe in using examples whose contents are familiar (easy to understand) to students so that they can relate themselves to the problem at hand. . . . I would adopt the textbook upon completion."
About the Author
Ph.D., University of Florida
Most helpful customer reviews
32 of 32 people found the following review helpful.
Very poorly written.
By A Customer
I had to buy this book for an introductory graduate stats class. This book assumes you have some knowledge of stats and so provides very brief explanations for most concepts. This is a big problem for students with little or no stats background.
Another problem is that there are too few examples. Considering their meager explanations, one would hope they would at least provide enough examples to help students understand the concepts. But they usually provide only one or two problems, which are woefully inadequate.
Also, the CD is totally useless. Most of the practice is multiple choice, which I think is pretty silly for a stats class. In addition, there is no explanation for how they got to the answer, so if you can't figure it out and choose the wrong answer, you're out of luck for any explanation.
I stopped using this book for my course and instead began using Elementary Statistics, A Step by Step Approach by Bluman. This book is excellent; it explains everything from step 1. There are also many, many examples and lots of pictures to help you further understand stats. Also, they explain very clearly when you should use the different formulas, which I found extremely helpful in bringing all the concepts together.
2 of 2 people found the following review helpful.
Unfortunately Book Required By Professor!
By S. Walker
I purchased textbook because it was required by my Biostatistics professor in my graduate program. Personally, I do not like the book. It makes problems more complicated than they need to be. I feel a good textbook is one in which you can read on your own and basically understand it without a whole lot of instruction and review by your professor. It would be very difficult to just read this textbook and then take an exam. I have only had the book for several weeks and I think it makes Biostats more complicated. I did purchase the supplement that goes with it, which is good for practice and the CD allows you to take self-test. If you are not savvy in stats, purchasing the supplemental practice book may be the thing for you to do if your professor requires use of the textbook.
11 of 12 people found the following review helpful.
An "easy" introduction but lacks content
By Leicester Dedlock
Author: Computer Science/Mathematics Undergraduate at Cameron University
This book was required for an introductory non-calculus based statistics course at my school and it turned out to be a mixed bag. The theories are explained well in most cases but the book doesn't have enough examples for all of the theorems. Many times only one case is explained in dynamic situations leaving this reader more than a little lost. Usually the theorems are explained well enough that this is not a big deal, but not so in every case. So there tends to be those points where the student may get a little stuck without assistance from their professor.
Another problem I found was that the book was a little bit dumbed down in many areas. This book uses no calculus, so the theories are presented often without the mathematical rigor required to properly formulate accurate results. The book still presents the theorems and formulas in a way where the student can get something out of this without calculus, but it becomes a problem later in the book in the sections on regression. For a non-calculus based class like the one I took, this is all unavoidable, so the book handled the situation well considering the constraints.
This book presents a very light introduction to statistics and is good prep for more advanced statistics courses, but as a stand-alone only the most basic material is presented since it is non-calculus based and the material is spread thin between combinatorics, probability, binomial distributions, normal distributions, t distributions, ANOVA tests, regression, non-parametric statistics, etc... To attain a significant amount of useful knowledge you really need to buy separate books tackling each of these subjects independantly, so this book is really unneccessary even for an introductory text but might serve well the student who needs to be eased into statistics lightly or just wants a brief overview of the subject.
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