Statistics
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基本信息·出版社:W W Norton & Co Ltd
·页码:720 页
·出版日期:1997年09月
·ISBN:039397121X
·条形码:9780393971217
·版本:3
·装帧:平装
·开本:16开 Pages Per Sheet
·正文语种:英语
·丛书名:Norton international student edition
·外文书名:统计表
内容简介 Book DescriptionStatistics 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.
From the CoverbackStatistics 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.
Book Dimension length: (cm)25.3 width:(cm)17.8
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Synopsis This revised edition offers explanations of the concepts of statistics. The text should be suitable both for mathematics students and for those studying statistics in the social or medical sciences. It draws on a wide variety of fields, supported by real data.