Statistics: The Art and Science of Learning from Data, Books a la Carte Edition
- ISBN-10
- 0133860825
- ISBN-13
- 9780133860825
- Series
- Statistics
- Category
- Statistics
- Pages
- 816
- Language
- English
- Published
- 2016-01-07
- Publisher
- Pearson
- Authors
- Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Description
NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value-this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. 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(tm) 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(tm)& Mastering(tm) 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.
Get the book
Other editions
-
- 2019-08-09
- - pages
- Paperback
- Pearson
-
- 2017-01-06
- 960 pages
- Paperback
- Pearson
Similar books
-
Introductory Statistics
By Susan Dean, Barbara IllowskyThis text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it.
-
Practical Nonparametric Statistics
By W. J. ConoverThis highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures.
-
How to Lie with Statistics
By Darrell HuffNow even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
-
Naked Statistics: Stripping the Dread from the Data
By Charles WheelanAs best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
-
All of Statistics: A Concise Course in Statistical Inference
By Larry WassermanConvergence rates of posterior distributions. The Annals of Statistics 28 500–531. GILKs, W. R., RICHARDSON, S. and SPIEGELHALTER, D. J. (1998). Markov Chain Monte Carlo in Practice. Chapman & Hall. GRIMMETT, G. and STIRZAKER, D.
-
Online Statistics Education: An Interactive Multimedia Course of Study (Part I: Chapters 1-10)
By David M LaneThis resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational ...
-
Nonparametric Statistics for Stochastic Processes: Estimation and Prediction
By D. BosqOptimal asymptotic results have been obtained and special behaviour of estimators and predictors in con tinuous time has been pointed out. This book is devoted to these questions.
-
How to Tell the Truth with Statistics: The Art of Learning from Data
By David SpiegelhalterIn The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.
-
Essentials of Statistics for the Behavioral Sciences
By Frederick J Gravetter, Larry B. WallnauAvailable with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
-
Statistics for High-Dimensional Data: Methods, Theory and Applications
By Peter Bühlmann, Sara van de GeerThis book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections.