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Title: Introduction to the Practice of Statistics (INTRODUCTION TO THE PRACTICE OF STATISTICS) by David S. Moore, George P. McCabe ISBN: 0-7167-9657-0 Publisher: W H Freeman & Co. Pub. Date: August, 2002 Format: Hardcover Volumes: 1 List Price(USD): $113.60 |
Average Customer Rating: 2.62 (8 reviews)
Rating: 4
Summary: Very good for first-time learner of statistics
Comment: I agree with the previous reviewer Jason --- this book is very good in helping a first-time learner understand statistics applied to real-life situations. Usually university teachers don't make good choices for course textbooks but in this case, this book is absolutely the most correct choice.
Rating: 5
Summary: take another look
Comment: This introductory statistics book is unlike any other I read, so it is understandable why it received negative reviews. First off, it deals with "the practice" of statistics, so don't expect mathematical explanations of the statistical analyses presented. Second, it thoroughly explains the conceptual basis and applied aspects of statistics, so don't be surprised if it is a bit more wordy or repetitive than other statistics books. Reenforcement is necessary when learning a new language, and it doesn't assume mathematical formulas are understandable without explanations.
Its highlight is its coverage of collecting data. Most statistics books don't even mention how data is collected, or should be collected; they only show you how to analyze it. General principles of sampling and experimentation are licidly covered, as are the implications of using these two fundamentally different approaches to research.
The second strong point of this book is its general overview of statistics. It shows how different analyses are used for different types of data (categorical vs. quantitative), although the general premise is the same--relationship between variables.
Finally, it makes a connection between real data and theoretical distributions. Most statistics books start off saying, "assume the data follow a normal distribution" but real data never does. Moore and McCabe explains how we can use a mathematical formula to model our real data, and the advantages and limitations of doing so. This is the bridge necessary to place the theoretical world of probability and mathematical statistics into the real world of research and data analysis.
This is still my favorite introductory statistics book, it is unique and inciteful, while others are clones and impractical. It is for researchers, not statisticians. If you are a researcher and have reviewed many introductory statistics books you will see the value of this one in explaining how statistics work, instead of just showing formulas.
Rating: 1
Summary: poorly written text
Comment: This text is horrible for learning statistics. Please, instructors, choose something different. This text takes concepts that could be quite simple and explains them so badly they become unrecognizeable. As a student, you have to really dig through the text to extract the basic ideas. If you read each chapter a few times, you eventually realize what they're saying, and it's not difficult at all - they've just made it that way. Exactly what you don't want in an introductory text. There are many good problems to work through, but that is the only real strength of the book. I was interested in statistics before I met this book.
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