Author: Ed Bowker Staff
Publisher: R. R. Bowker
ISBN: 9780835246422
Category : Reference
Languages : en
Pages : 3274

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Book Description

Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1429293578
Category : Mathematics
Languages : en
Pages : 1057

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Book Description
This innovative textbook is designed to give students the tools they need to make data-informed, real-world business decisions practically from the first day of class, providing a foundation in data production and interpretation that supports their work throughout the course. Newly retitled The Practice of Statistics for Business and Economics to reflect the true scope of its coverage, this new third edition of the text is its most accomplish yet--a conceptually rich, mathematically accessible survey of basic statistical methods in a business/economics context that emphasizes working with data and mastering statistical reasoning.

Author: Jim Grayson
Publisher: SAS Institute
ISBN: 1629599565
Category : Computers
Languages : en
Pages : 375

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Book Description
Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.

Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1464119392
Category : Mathematics
Languages : en
Pages : 988

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Book Description
David Moore pioneered the "data analysis" (conceptual) approach for the introductory statistics textbooks. Moore’s The Basic Practice of Statistics became the market-leading bestseller by focusing on how statistics are gathered, analyzed, and applied to real problems and situations—and by confronting student anxieties about the course’s relevance and difficulties head on.This new Sixth Edition offers the same crystal clear writing and use of real data as past editions, while incorporating new and updated examples and exercises, and presenting new features to support the learning and teaching goals for today’s generation of students.

Author: David S. Moore
Publisher: W H Freeman & Company
ISBN: 9781429216227
Category : Mathematics
Languages : en
Pages : 709

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Book Description
The new Sixth Edition brings the acclaimed IPS approach to a new generation, with a number of enhancements in the text and with breakthrough media tools for instructors and students. It demonstrates how statistical techniques are used to solve real-world problems, combining real data and applications with innovative pedagogy, both in the text and via electronic media. New Format Options Introduction to the Practice of Statistics, Sixth Edition is available as: • A core book containing the first 13 chapters in hardcover (1-4292-1622-0) or paperback (1-4292-1621-2). Companion chapters 14-17 are available on the book's CD and web site. • Extended Version (hardcover; includes chapters 1-15): 1-4292-1623-9

Author: David S. Moore
Publisher:
ISBN: 9780716768388
Category : Business & Economics
Languages : en
Pages : 1240

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Book Description

Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1464140197
Category : Mathematics
Languages : en
Pages : 920

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Book Description
Exploring the Practice of Statistics adapts the successful approach to data analysis of Moore, McCabe, and Craig’s best-selling Introduction to the Practice of Statistics to new organization that is streamlined for a one-semester course. Exploring the Practice of Statistics introduces data collection early and covers tests of proportions before tests of means. An engaging new opening chapter motivates students by presenting an overview of major statistical ideas in the context of contemporary applications. Part Reviews offer a large set of exercises that ask students to choose from and work with related concepts presented in several chapters. With an emphasis on real data and sound pedagogy, Exploring the Practice of Statistics is an exciting new option for instructors.

Author: David S. Moore
Publisher: W.H. Freeman
ISBN: 9780716788256
Category : Analysis
Languages : en
Pages : 820

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Book Description
This book immerses students in the course immediately, involving them in practical, statistics-supported business decision making from the outset. Using real data to provide a context for tackling modern business problems, it introduces a range of core ideas early.

Author: Neil Thomson
Publisher:
ISBN: 9780534420451
Category :
Languages : en
Pages : 164

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Book Description

Author: Jordan Bakerman
Publisher:
ISBN: 9781642957150
Category : Computers
Languages : en
Pages : 258

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Book Description
SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.