Selected Product:
| A First Course in Statistical Methods (with CD-ROM)
Hardcover
Edition: 04
Author: Lyman Ott, Micheal T. Longnecker
Publisher: Duxbury Press
Release Date: 2004
ISBN-10: 0534408060
ISBN-13: 9780534408060
List Price: $158.95
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
A FIRST COURSE IN STATISTICAL METHODS addresses a pressing need in the methods coursea shorter text designed for a one-term course. By selecting and revising material from their best-selling two-semester text, AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Fifth Edition, the authors created an ideal book for a one-term course in statistical methods. Based on the belief that statistics is a thought process tied to the scientific method, the text utilizes a 5-step approach: 1) defining the problem, 2) collecting data, 3) summarizing data, 4) analyzing and interpreting the data, and 5) communicating the results of the analysis.
Mathematically disappointing
| Customer Rating: | | Ott and Longnecker's book has been used as the textbook for a course on statistical methods in a mathematics department. As a student, I was very disappointed. The book is well-written, and makes direct applications to simple problems easy. However, almost no mathematical explanation of the methods adopted to solve problems is provided! The book may be appropriate for a course offered in lower-division engineering or in social science, but as a textbook for a math class, it is overly simplistic. |
Good Book on the Subject
| Customer Rating: | | Statistical analysis is a dificult subject to grasp, and I felt this book did a good job of explaining the material. It is quite "hands on" with a focus on how to handle practical problems, and has enough theory to help understand the basic concepts. It avoids the upper level mathematics, concentrating instead on the logic & background of each analytical process. I found this book to be as good as any, and better than most. |
Waste of paper pulp
| Customer Rating: | The text doesn't deliver anything it promises to be on the back cover. It's extremely verbose: it uses several words, sometimes several sentences, to express ideas that a few words would suffice to say. It puts forth and repeats commonsense things everybody already knows, taking up lots of space in the process. I wanted to reproduce a few paragraphs to illustrate this weakness, but I'm concerned about copyright stuff. Really, what do you expect from a book where the most lavish praise from its own publisher is "a new, concise text"? If "conciseness" is the best thing about this book, I shudder to think of the contents.
Further, the book promises clear definitions and explanations. Nothing of the kind. Of ten important terms (printed in bold), you'd be lucky to have two properly explained the way a dictionary would explain them. Instead of definitions per se, the book relies on lots of examples. The examples are, of course, also lengthily and ambiguously worded, leaving you scratching your head just what exactly an "experimental unit" is and what "blocks" really are. My instructor and I had a difficult time identifying the components of a study because the lack of definitions makes it impossible to be certain.
Please, professors, find another book. Another book that isn't the first edition would be even more appreciated. If you're looking to review or learn stats on your own, this is the best way to waste your money and time. The only circumstance under which you should buy this book is when you need a sleep-inducer. Even then, some sleep-inducers are much cheaper than this book. |
Not an easy read
| Customer Rating: | | I had to read this book for a statistics course. In the Preface, it states "We presume students using this book have a minimal mathematical background (high school algebra) and no prior coursework in statistics" (page xi; 2004 edition). I found this statement to be stretching the truth; this book is hard to read, hard to understand and hard to digest. Contrary to the preface's inviting statement, the reader would be in a MUCH better position to have mastered calculus and to have HAD previous experience in statistics. This book is NOT an easy read as the statement above would suggest. I had to abandon using this book in the course and resort to other texts. Caveat emptor. |
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