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Discovering Statistics Using IBM SPSS Statistics

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  • 952 páginas
  • 34 horas de lectura

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Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. -- From publisher's web site. Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS Windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.

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Discovering Statistics Using IBM SPSS Statistics, Andy Field

Idioma
Publicado en
2013
Encuadernación
(Tapa dura)
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Título
Discovering Statistics Using IBM SPSS Statistics
Idioma
Inglés
Autores
Andy Field
Editorial
Sage
Publicado en
2013
Formato
Tapa dura
Páginas
952
ISBN10
1446249174
ISBN13
9781446249178
Serie
Calificación
4,15 de 5
Descripción
Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. -- From publisher's web site. Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS Windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.