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Sprache:
Englisch
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Beschreibung
Features
Worked examples from the behavioral and social sciences
Clearly written, without mathematical formulae
Well-structured, for beginners and intermediate readers
Assumes no knowledge of R or programming ('coding')
Comprehensive chapter on categorical analysis - not just 'Chi squared'
Effect sizes and confidence intervals
Clear explanation of factor analysis
Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations
Introduces Bayesian statistics
Reproduces a well-received short chapter on making presentations
Data sets, exercises and case studies on the website
Worked examples from the behavioral and social sciences
Clearly written, without mathematical formulae
Well-structured, for beginners and intermediate readers
Assumes no knowledge of R or programming ('coding')
Comprehensive chapter on categorical analysis - not just 'Chi squared'
Effect sizes and confidence intervals
Clear explanation of factor analysis
Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations
Introduces Bayesian statistics
Reproduces a well-received short chapter on making presentations
Data sets, exercises and case studies on the website
Features
Worked examples from the behavioral and social sciences
Clearly written, without mathematical formulae
Well-structured, for beginners and intermediate readers
Assumes no knowledge of R or programming ('coding')
Comprehensive chapter on categorical analysis - not just 'Chi squared'
Effect sizes and confidence intervals
Clear explanation of factor analysis
Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations
Introduces Bayesian statistics
Reproduces a well-received short chapter on making presentations
Data sets, exercises and case studies on the website
Worked examples from the behavioral and social sciences
Clearly written, without mathematical formulae
Well-structured, for beginners and intermediate readers
Assumes no knowledge of R or programming ('coding')
Comprehensive chapter on categorical analysis - not just 'Chi squared'
Effect sizes and confidence intervals
Clear explanation of factor analysis
Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations
Introduces Bayesian statistics
Reproduces a well-received short chapter on making presentations
Data sets, exercises and case studies on the website
Details
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Reihe: | Statistics without Mathematics |
Inhalt: | Gebunden |
ISBN-13: | 9781915500014 |
ISBN-10: | 191550001X |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Redaktion: | Davis |
Auflage: | Second edition |
Hersteller: |
Vor Press
Statistics without Mathematics |
Maße: | 235 x 157 x 29 mm |
Von/Mit: | Davis |
Erscheinungsdatum: | 01.06.2022 |
Gewicht: | 0,822 kg |
Details
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Reihe: | Statistics without Mathematics |
Inhalt: | Gebunden |
ISBN-13: | 9781915500014 |
ISBN-10: | 191550001X |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Redaktion: | Davis |
Auflage: | Second edition |
Hersteller: |
Vor Press
Statistics without Mathematics |
Maße: | 235 x 157 x 29 mm |
Von/Mit: | Davis |
Erscheinungsdatum: | 01.06.2022 |
Gewicht: | 0,822 kg |
Warnhinweis