Statistics: The Art and Science of Learning from Data - Couverture rigide

Agresti, Alan; Franklin, Christine; Klingenberg, Bernhard

Couverture rigide

ISBN 10 : 0321997832 ISBN 13 : 9780321997838

Editeur : Pearson, 2016

Synopsis

For courses in introductory statistics.

 

The Art and Science of Learning from Data

Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises.

 

The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data.

 

Also available with MyStatLab

MyStatLab^™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, new web apps with complementary exercises, a tightly integrated video program, and strong exercise coverage enhance student learning.

 

Note: You are purchasing a standalone product; MyLab^™ & Mastering^™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.

 

If you would like to purchase boththe physical text and MyLab & Mastering, search for:

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A propos du livre

À propos de l?auteur

Alan Agresti is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He taught statistics there for 38 years and developed three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed articles and five texts including Statistical Methods for the Social Sciences (with Barbara Finlay, Prentice Hall, 4th edition 2009) and Categorical Data Analysis (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003, Alan was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004, he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 30 countries worldwide. Alan has also received teaching awards from the University of Florida and an excellence in writing award from John Wiley & Sons.

 

Christine (Chris) Franklin is the K-12 Statistics Ambassador for the American Statistical Association and an elected ASA Fellow. She is 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 an Introductory Statistics textbook for post secondary, co-author for a sports statistics textbook for high school, and has published more than 60 journal articles and book chapters. Chris was the lead writer for the groundbreaking document of the American Statistical Association Pre-K-12 Guidelines for the Assessment and Instruction in Statistics Education (GAISE) Framework and chaired the writing team of the ASA Statistical Education of Teachers (SET) report. She is a past Chief Reader for Advance Placement Statistics, a Fulbright scholar to New Zealand (2015), recipient of the United States Conference on Teaching Statistics (USCOTS) Lifetime Achievement Award, the prestigious ASA Founder’s award and an elected member of the International Statistical Institute (ISI).  Chris loves running, hiking, scoring baseball games, and reading mysteries.

 

Bernhard Klingenberg is a Professor of Statistics in the Department of Mathematics & Statistics at Williams College, where he has taught introductory and advanced statistics classes for more than 10 years. In 2013, Bernhard was instrumental in creating an undergraduate major in statistics at Williams, one of the first for a liberal arts college. At Williams, more than 70% of an incoming freshman class will have taken a course in introductory statistics by the time they graduate. A native of Austria, Bernhard frequently returns there to hold visiting positions at universities and gives short courses on categorical data analysis in Europe and the US. He has published several peer-reviewed articles in statistical journals and consults regularly with academia and industry. Bernhard enjoys photography (several of his pictures appear in this book), scuba diving, and spending time with his wife and four children.

 

Détails de l'édition

• Éditeur: Pearson
• Date d'édition: 2016
• ISBN 10: 0321997832
• ISBN 13: 9780321997838
• Reliure: Relié
• Langue: anglais
• Numéro d'édition: 4
• Nombre de pages: 816
• Coordonnées du fabricant: non disponible