Applied Univariate, Bivariate, and Multivariate Statistics
Language: English
Published by John Wiley and Sons Inc, US, 2021
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 131.17
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AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES This revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and Rcontains an accessible introduction to statistical modeling techniques commonly used in the social and natural sciences. The text offers a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS®. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. The second edition has been designed to be more approachable by minimizing theoretical or technical jargon and maximizing conceptual understanding with easy-to-apply software examples. This important text: Offers demonstrations of statistical techniques using software packages such as R and SPSS®Contains examples of hypothetical and real data with statistical analysesProvides historical and philosophical insights into many of the techniques used in modern scienceIncludes a companion website that features further instructional details, additional data sets, and solutions to selected exercises Written for students of social and applied sciences,Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a thorough introduction to the world of statistical modeling techniques in the sciences.…
Seller Inventory # LU-9781119583042
- Title
- Applied Univariate, Bivariate, and Multivariate Statistics
- Author
- Daniel J. Denis
- Publisher
- John Wiley and Sons Inc, US
- Publication year
- 2021
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1119583047
- ISBN 13
- 9781119583042
- Edition
- 2nd Edition
- Item weight
- 1,160 grams
AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND NATURAL SCIENCES
This revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and Rcontains an accessible introduction to statistical modeling techniques commonly used in the social and natural sciences. The text offers a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis.
Featuring applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS®. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. The second edition has been designed to be more approachable by minimizing theoretical or technical jargon and maximizing conceptual understanding with easy-to-apply software examples. This important text:
- Offers demonstrations of statistical techniques using software packages such as R and SPSS®
- Contains examples of hypothetical and real data with statistical analyses
- Provides historical and philosophical insights into many of the techniques used in modern science
- Includes a companion website that features further instructional details, additional data sets, and solutions to selected exercises
Written for students of social and applied sciences,Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a thorough introduction to the world of statistical modeling techniques in the sciences.
"Synopsis" may belong to another edition of this title.
About the Author
DANIEL J. DENIS, PhD, is Professor of Quantitative Psychology at the University of Montana where he teaches courses in univariate and multivariate statistics. He has published a number of articles in peer-reviewed journals and has served as consultant to researchers and practitioners in a variety of fields.
"About the title" may belong to another edition of this title.
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