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9781920084608: Inferential Data Analysis: Hypothesis Testing And Decision Making
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This is the second edition of the textbook, Inferential Statistics: Hypothesis Testing and Decision-making, first published in 1995. It has been appropriately renamed Inferential Data Analysis to emphasise the role of statistics as a tool in the research process rather than an end in itself. The approach that is followed in the book could be called a decision-making approach since it aims to contextualise statistics as a tool when making decisions about hypotheses. This second edition has been revised substantially in terms of content. It now includes an overview of basic descriptive statistics, the use of SPSS and Excel, a focus on the most appropriate format for presenting statistical results in a research paper and a section on more advanced multivariate techniques. The new edition also focuses extensively on effect-size statistics rather than only significance testing. “My very well-thumbed copy of 'my little green stats bible' has been constantly referenced since I bought it in 1996. This book, on its own, helped me overcome my fear of stats. Every student I lecture that wants an easily accessible understanding of statistics for psychology is ordered to buy a copy, and every one of them have thanked me for showing them the book. It not only shows you HOW it's done but explains to you WHEN and WHY it's done. It is an invaluable tool in my teaching arsenal. Please let me know when the second edition will be available, since I'm sure it will prove as indispensable as its predecessor". (former student at University of Western Cape and now lecturer at UNISA and Stellenbosch).

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  • EditorialReach Publishers
  • Año de publicación2012
  • ISBN 10 1920084606
  • ISBN 13 9781920084608
  • EncuadernaciónTapa blanda
  • Número de páginas464

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Otras ediciones populares con el mismo título

9786202527958: Inferential Data Analysis: Hypothesis Testing and Decision-making

Edición Destacada

ISBN 10:  6202527951 ISBN 13:  9786202527958
Editorial: LAP LAMBERT Academic Publishing, 2020
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