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Your statistical consultant : answers to your data analysis questions

著者: Rae R Newton; Kjell Erik Rudestam
出版商: Thousand Oaks : SAGE Publications, ©2013.
版本/格式:   Print book : 英语 : 2nd ed查看所有的版本和格式
数据库:WorldCat
提要:
Discussing the issues that surround a range of statistical questions and controversies, the Second Edition reveals divergent perspectives on these issues and offers practical advice and examples for conducting statistical analyses that reflect the authors' interpretation of the consensual wisdom of the field. It is a compendium of statistical knowledge - some theoretical, some applied - that addresses those  再读一些...
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所有的著者/提供者: Rae R Newton; Kjell Erik Rudestam
ISBN: 9781412997591 1412997593
OCLC号码: 795504386
描述: xxii, 356 pages : illustrations ; 24 cm
内容: Part I. Data collection and exploration --
ch. 1. Getting started with statistical analysis : where do I obtain data, and how do I prepare data for statistical analysis? --
ch. 2. How do I examine data prior to analysis? --
Part II. The logic of statistical analysis : issues regarding the nature of statistics and statistical tests --
ch. 3. Traditional approaches to statistical analysis and the logic of statistical inference --
ch. 4. Rethinking traditional paradigms : power, effect size, and hypothesis-testing alternatives --
ch. 5. What are the assumptions of statistical testing? --
ch. 6. An introduction to statistical models : explaining relationship patterns --
ch. 7. How do I select the appropriate statistical test? --
Part III. Issues related to variables and their distributions --
ch. 8. How do I deal with missing values, outliers, and non-normality? --
ch. 9. Types of variables and their treatment in statistical analysis --
Part IV. Understanding the big two : major questions about analysis of variance and regression analysis --
ch. 10. Questions about analysis of variance --
ch. 11. Questions about multiple regression analysis --
ch. 12. The bigger picture.
责任: Rae R. Newton, Kjell Erik Rudestam.

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Your Statistical Consultant is an authentic alternative resource for describing, explaining, and making recommendations regarding thorny or confusing statistical issues.  再读一些...

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This book is valuable for its interpretation of alternative approaches to traditional statistical inferences... The second edition is noticeably updated and clearly replaces the earlier 1999 再读一些...

 
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