Statistics: The Art and Science of Learning from Data, Global Edition (PDF)
Statistics: The Art and Science of Learning from Data, Global Edition, 5th edition by Agresti, Franklin, and Klingenberg is the ideal...
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Statistics: The Art and Science of Learning from Data, Global Edition, 5th edition by Agresti, Franklin, and Klingenberg is the ideal introduction to the discipline that will familiarise you with the world of statistics and data analysis.
Ideal for students who study introductory courses in statistics, this text takes a conceptual approach and will encourage you to learn how to analyse data the right way by enquiring and searching for the right questions and information rather than just memorising procedures.
Enjoyable and accessible, yet informative and without compromising the necessary rigour, this edition will help you engage with the science in modern life, delivering a learning experience that is effective in statistical thinking and practice.
Key features include:
- Greater attention to the analysis of proportions compared to other introductory statistics texts.
- Introduction to key concepts, presenting the categorical data first, and quantitative data after.
- A wide variety of real-world data in the examples and exercises
- New sections and updated content will enhance your learning and understanding.
Pearson MyLab® Students, if Pearson Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
He is the author of more than 100 refereed articles and six texts, including Statistical Methods for the Social Sciences (Pearson, 5th edition, 2018) and An Introduction to Categorical Data Analysis (Wiley, 3rd edition, 2019). Alan has also received teaching awards from the University of Florida and an Excellence in Writing award from John Wiley & Sons.
Christine Franklin is the K-12 Statistics Ambassador for the American Statistical Association and elected ASA Fellow. She has retired from the University of Georgia as the Lothar Tresp Honoratus Honors Professor and Senior Lecturer Emerita in Statistics.
She is the co-author of two textbooks and has published more than 60 journal articles and book chapters. Chris was the lead writer for the American Statistical Association Pre-K-12 Guidelines for the Assessment and Instruction in Statistics Education (GAISE) Framework document, co-chair for the updated Pre-K-12 GAISE II, and chair of the ASA Statistical Education of Teachers (SET) report.
Bernhard Klingenberg is a Professor of Statistics in the Department of Mathematics & Statistics at Williams College, where he has been teaching introductory and advanced statistics classes since 2004. He teaches statistical inference and modelling as well as data visualisation at the Graduate Data Science Program at New College of Florida.
Prof. Klingenberg is responsible for the development of the web apps, which he programs using the R package Shiny. A native of Austria, he frequently returns there to hold visiting positions at universities and gives short courses on categorical data analysis in Europe and the United States. He also enjoys
- Autoren: Alan Agresti , Christine A. Franklin , Bernhard Klingenberg
- 2022, 5. Auflage, Englisch
- Verlag: Pearson ITP
- ISBN-10: 1292444797
- ISBN-13: 9781292444796
- Erscheinungsdatum: 26.08.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Ohne Kopierschutz
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