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　　分類: 图书,进口原版书,人文社科 Non Fiction ,

作者：

出 版 社： W W Norton & Co Ltd

出版时间：字数：版次：页数：印刷时间：开本：印次：纸张： 胶版纸I S B N ： 9780393971217包装：编辑推荐

Statistics is written in clear, eveyday language, without the equations that baffle nonmathematical readers. The goal is teaching students how to think about statistical issues. Techniques are introduced through examples that show how statistics has helped solve major problems in education, genetics, medicine, physics, political science, psychology, and other fields.

Statistics is unusual in its emphasis on the models that underlie statistical inference. The authors make the models comprehensible and show why getting the model wrong can lead students astray. Carefully constructed exercises in every chapter offer practice in computational skills. Others call for rough estimates and qualitative judgements, so students are forced to come to grip with the concepts instead of mechanically applied formulas. Illustrations are an integral part of the exposion. Beginners learn how to read histograms and scatterplots and how to think about these graphics in the context of real problems. Working drawings are all done freehand; students are encouraged to make similar sketches and are not intimidated by too much precision. Most sections close with an exercise set; the answers are in the back of the book, often with complete solutions. Chapters also have review exercises, without answers, for homework and tests.

内容简介

"Statistics" set a new standard for introductory texts, written in accessible language that teaches students how to think about statistical issues through real-world examples, such as political polls and Galton's regression paradox, and in terms of models that underlie statistical inference. Retaining these core strengths, the Fourth Edition adds a diverse body of new examples, exercises, and data sets, and has been thoroughly updated to reflect the most recent developments in the field.

媒体评论

Statistics teaches students how to think about statistical issues. It is written in clear, everyday language, without the equations that baffle non-mathematical readers. The techniques are all introduced through examples, showing how statistics has helped solve major problems in economics, education, genetics, medicine, physics, political science, psychology, and other fields.

Many introductory statistics texts suffer from one of two ailments. Either they incorporate too much mathematics for non-statisticians or they provide oversimplified and sometimes incorrect explanations. This text is excellent and is favored by many statisticians who teach the introductory service course for non-statistics majors. The book provides excellent and insightful explanations. It is written by well-known Berkeley statisticians with great theoretical and applied experience, so it is not oversimplified or inaccurate. On the other hand Friedman and his co-authors took pains to minimize the necessary mathematics. It covers all the topics one would want to include in a first course. Real examples are used throughout to illustrate the value of the methods. These include clinical trials and observational studies, telephone surveys and opinion polls and some models in genetics.

Discussion of the data snooping issue is important, particularly as we move into an age where data mining is now feasible with current computing power.

 

 

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