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Statistics using SPSS : an integrative approach

Auteur : Sharon L Weinberg; Sarah Knapp Abramowitz
Éditeur: Cambridge ; New York : Cambridge University Press, ©2008.
Édition/format:   Livre imprimé : CD pour ordinateur : Document   Fichier d'ordinateur : Anglais : 2nd edVoir toutes les éditions et tous les formats
Résumé:
"This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis  Lire la suite...
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Type d’ouvrage: Document, Ressource Internet
Type de document: Livre, Fichier d'ordinateur, Ressource Internet
Tous les auteurs / collaborateurs: Sharon L Weinberg; Sarah Knapp Abramowitz
ISBN: 9780521899222 0521899222 9780521676373 0521676371
Numéro OCLC: 162507286
Description: xv, 764 pages : illustrations ; 26 cm + 1 CD-ROM (4 3/4 in.)
Contenu: Introduction --
Examining univariate distributions --
Measures of location, spread, and skewness --
Re-expressing variables --
Exploring relationships between two variables --
Simple linear regression --
Probability fundamentals --
Theoretical probability models --
The role of sampling in inferential statistics --
Inferences involving the mean of a single population when s is known --
Inferences involving the mean when s is not known: one- and two-sample designs --
One-way analysis of variance --
Two-way analysis of variance --
Correlation and simple regression as inferential techniques --
An introduction to multiple regression --
Nonparametric methods.
Responsabilité: Sharon Lawner Weinberg, Sarah Knapp Abramowitz.
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Résumé:

Applied statistics text updated to be consistent with SPSS version 15, ideal for classroom use or self study.  Lire la suite...

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'A hands-on approach and a wealth of exercises and examples immerse the reader in the process of data analysis from the very beginning. Students and practitioners alike will benefit from the book's Lire la suite...

 
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