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Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Statistics for Business & Economics (10th Edition) (MyStatLab Series)
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简体网页||繁体网页
James T. McClave 作者
Prentice Hall
译者
2007-03-16 出版日期
944 页数
USD 153.33 价格
Hardcover
丛书系列
9780132409353 图书编码

Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 图书标签: 统计学  1   

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Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Statistics for Business & Economics (10th Edition) (MyStatLab Series) 在线电子书 图书描述

For a one- or two-term course in business statistics. This best-selling introduction stresses the development of statistical thinking - the assessment of credibility and value of the inferences made from data - by both those who consume and those who produce the information. The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions. Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra. The text incorporates the following American Statistical Association (ASA) guidelines developed from both the Making Statistics More Effective in Schools of Business (MSMESB) conferences and Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project: *Students are most effectively motivated by seeing statistics at work in real applications, problems, cases, and projects. *Students should be provided with the opportunity to work with real data and make use of technology for statistical computations.* Formal training in probability needs to be downplayed in favor of intuitive concepts of probability. *We need to reduce our emphasis on formal theory of statistics and increase emphasis on applications.

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