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108 of 113 people found the following review helpful:
5.0 out of 5 stars
take another look, April 10, 2003
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.
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