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Statistics for Non-Statisticians

This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Madsen, Birger (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Acceso en línea:Texto Completo

MARC

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300 |a XV, 160 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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505 0 |a Preface -- 1 Data Collection -- 2 Presentation of Data -- 3 Description of Data -- 4 The Normal Distribution -- 5 Analysis of Qualitative Data -- 6 Error Sources and Planning -- 7 Assessment of Relationship -- 8 Comparing Two Groups -- 9 Appendices -- Index. 
520 |a This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation. The topics were determined by what is most useful for practical statistical work: even experienced statisticians will find new topics or new approaches to traditional topics. The presentation is as non-mathematical as possible. Mathematical formulae are presented only if they are necessary for calculations and/or add to readers' understanding. A sample survey is developed as a realistic example throughout the book, and many further examples are presented, which also use data spreadsheets from a supplementary website. 
650 0 |a Statistics . 
650 0 |a Social sciences-Statistical methods. 
650 1 4 |a Statistics. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics in Business, Management, Economics, Finance, Insurance. 
650 2 4 |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 
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