Statistical Thinking

Statistical Thinking

Author: Roger W. Hoerl

Publisher: John Wiley & Sons

Published: 2012-04-09

Total Pages: 544

ISBN-13: 1118236858

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How statistical thinking and methodology can help you make crucial business decisions Straightforward and insightful, Statistical Thinking: Improving Business Performance, Second Edition, prepares you for business leadership by developing your capacity to apply statistical thinking to improve business processes. Unique and compelling, this book shows you how to derive actionable conclusions from data analysis, solve real problems, and improve real processes. Here, you'll discover how to implement statistical thinking and methodology in your work to improve business performance. Explores why statistical thinking is necessary and helpful Provides case studies that illustrate how to integrate several statistical tools into the decision-making process Facilitates and encourages an experiential learning environment to enable you to apply material to actual problems With an in-depth discussion of JMP® software, the new edition of this important book focuses on skills to improve business processes, including collecting data appropriate for a specified purpose, recognizing limitations in existing data, and understanding the limitations of statistical analyses.


Statistical Thinking and Learning

Statistical Thinking and Learning

Author: Brian Greer

Publisher: Routledge

Published: 2000

Total Pages: 168

ISBN-13:

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Devoted to statistical thinking and learning, this special double issue reflects major developments within statistics education. During recent years, statistics has entered or gained increased prominence in mainstream mathematics curricula in many countries. Some aspects of the relationship between statistics education and mathematics education in general are illustrated, as is the crucial role of statistical education for responsible citizenship in modern society. The articles: * provide analyses of the development of children's statistical thinking, * discuss statistical thinking at a higher and more technical level, and * illustrate the issues central to the development of statistical education.


The Challenge of Developing Statistical Literacy, Reasoning and Thinking

The Challenge of Developing Statistical Literacy, Reasoning and Thinking

Author: Dani Ben-Zvi

Publisher: Springer Science & Business Media

Published: 2006-02-23

Total Pages: 423

ISBN-13: 1402022786

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Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.


Regression Modeling Strategies

Regression Modeling Strategies

Author: Frank E. Harrell

Publisher: Springer Science & Business Media

Published: 2013-03-09

Total Pages: 583

ISBN-13: 147573462X

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Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".


Statistical Thinking in Sports

Statistical Thinking in Sports

Author: Jim Albert

Publisher: CRC Press

Published: 2007-07-12

Total Pages: 312

ISBN-13: 1584888695

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Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes


Flaws and Fallacies in Statistical Thinking

Flaws and Fallacies in Statistical Thinking

Author: Stephen K. Campbell

Publisher: Courier Corporation

Published: 2012-05-14

Total Pages: 210

ISBN-13: 0486140512

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Nontechnical survey helps improve ability to judge statistical evidence and to make better-informed decisions. Discusses common pitfalls: unrealistic estimates, improper comparisons, premature conclusions, and faulty thinking about probability. 1974 edition.


Developing Thinking in Statistics

Developing Thinking in Statistics

Author: Alan Graham

Publisher: Paul Chapman Educational Publishing

Published: 2006-03-03

Total Pages: 294

ISBN-13: 9781412911672

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′This book should prove to be an important addition to the relatively few publications that exist on statistical thinking. It very nicely encourages the reader to take an active learning approach through simultaneously promoting pedagogy with knowledge and skills enhancement in statistics. Understanding what the subject is for and what it can do are crucial in statistical education - by getting the reader to think statistically Mr Graham has provided us with a very readable book that helps to dispel the poor reputation that statistics has acquired over many years′ - Professor Neville Davies, Director, Royal Statistical Society Centre for Statistical Education, Nottingham Trent University Statistics is a key area of the school mathematics curriculum where maths and the real world meet. Although potentially a subject where teaching can be motivating and relevant to everyday concerns, it is often seen as boring and involving largely mechanical calculations. This book will enable teachers and others interested in statistical thinking to become excited and inspired by the big ideas of statistics and, in turn, teach them enthusiastically learners. Designed to heighten awareness of statistical ideas, the book explores key themes within statistics using ideas developed by the influential team at The Open University′s Centre for Mathematics Education. Themes include: · Measurement · Variation · Randomness · Uncertainty Arranged in an accessible task-based format, this is an essential text for all secondary maths teachers and students of maths education. It is a comprehensive book that will illuminate and inspire interest in the subject, based on innovative use of ICT, engaging narrative, firm research and good practice. Developing Thinking in Statistics is a set book on the Open University Course ME626 Developing Statistical Thinking, part of the Graduate Diploma in Mathematics Education.


Statistical Thinking: a Simulation Approach to Modeling Uncertainty

Statistical Thinking: a Simulation Approach to Modeling Uncertainty

Author: Andrew Zieffler

Publisher:

Published: 2012-08-29

Total Pages: 176

ISBN-13: 9780615691305

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Learning statistics is sexy.Almost every person on earth will benefit from learning some foundational ideas of statistics. This is true because statistics forms the basis of our everyday world just as much as do science, technology, and politics. Google, Netflix, Twitter, Facebook, OKCupid, Match.com, Amazon, iTunes, and the Federal Government are just a handful of the companies and organizations that use statistics on a daily basis. Journalism, political science, biology, sociology, psychology, graphic design, economics, sports science, and dance are all disciplines that have made use of statistical methodology.The materials in this book will introduce you to the seminal ideas underlying the discipline of statistics. In addition, they have been designed with your learning in mind. As you engage in and use the skills, concepts and ideas introduced in the material, you will find yourself thinking about data and evidence in a different way.