Statistical Thinking


Statistical Thinking
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Statistical Thinking


Statistical Thinking
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Author : Roger W. Hoerl
language : en
Publisher: John Wiley & Sons
Release Date : 2020-09-16

Statistical Thinking written by Roger W. Hoerl and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-16 with Business & Economics categories.


Apply statistics in business to achieve performance improvement Statistical Thinking: Improving Business Performance, 3rd Edition helps managers understand the role of statistics in implementing business improvements. It guides professionals who are learning statistics in order to improve performance in business and industry. It also helps graduate and undergraduate students understand the strategic value of data and statistics in arriving at real business solutions. Instruction in the book is based on principles of effective learning, established by educational and behavioral research. The authors cover both practical examples and underlying theory, both the big picture and necessary details. Readers gain a conceptual understanding and the ability to perform actionable analyses. They are introduced to data skills to improve business processes, including collecting the appropriate data, identifying existing data limitations, and analyzing data graphically. The authors also provide an in-depth look at JMP software, including its purpose, capabilities, and techniques for use. Updates to this edition include: A new chapter on data, assessing data pedigree (quality), and acquisition tools Discussion of the relationship between statistical thinking and data science Explanation of the proper role and interpretation of p-values (understanding of the dangers of “p-hacking”) Differentiation between practical and statistical significance Introduction of the emerging discipline of statistical engineering Explanation of the proper role of subject matter theory in order to identify causal relationships A holistic framework for variation that includes outliers, in addition to systematic and random variation Revised chapters based on significant teaching experience Content enhancements based on student input This book helps readers understand the role of statistics in business before they embark on learning statistical techniques.



Statistical Thinking


Statistical Thinking
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Author : Roger W. Hoerl
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-09

Statistical Thinking written by Roger W. Hoerl and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-09 with Business & Economics categories.


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.



The Rise Of Statistical Thinking 1820 1900


The Rise Of Statistical Thinking 1820 1900
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Author : Theodore M. Porter
language : en
Publisher: Princeton University Press
Release Date : 2020-08-18

The Rise Of Statistical Thinking 1820 1900 written by Theodore M. Porter and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-18 with Science categories.


An essential work on the origins of statistics The Rise of Statistical Thinking, 1820–1900 explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century. Theodore Porter shows that statistics was not developed by mathematicians and then applied to the sciences and social sciences. Rather, the field came into being through the efforts of social scientists, who saw a need for statistical tools in their examination of society. Pioneering statistical physicists and biologists James Clerk Maxwell, Ludwig Boltzmann, and Francis Galton introduced statistical models to the sciences by pointing to analogies between their disciplines and the social sciences. A new preface by the author looks at how the book has remained relevant since its initial publication, and considers the current place of statistics in scientific research.



Introduction To Statistical Thinking


Introduction To Statistical Thinking
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Author : Benjamin Yakir
language : en
Publisher:
Release Date : 2014-09-19

Introduction To Statistical Thinking written by Benjamin Yakir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with categories.


Introduction to Statistical ThinkingBy Benjamin Yakir



Flaws And Fallacies In Statistical Thinking


Flaws And Fallacies In Statistical Thinking
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Author : Stephen K. Campbell
language : en
Publisher: Courier Corporation
Release Date : 2012-05-14

Flaws And Fallacies In Statistical Thinking written by Stephen K. Campbell and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-14 with Mathematics categories.


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.



Statistical Thinking From Scratch


Statistical Thinking From Scratch
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Author : M. D. Edge
language : en
Publisher: Oxford University Press, USA
Release Date : 2019-06-13

Statistical Thinking From Scratch written by M. D. Edge and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with categories.


Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods. In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians. Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.



Statistical Thinking Through Media Examples


Statistical Thinking Through Media Examples
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Author : Anthony Donoghue
language : en
Publisher: Cognella Academic Publishing
Release Date : 2021-08-05

Statistical Thinking Through Media Examples written by Anthony Donoghue and has been published by Cognella Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-05 with categories.




Statistical Thinking For Managers


Statistical Thinking For Managers
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Author : J.A. John
language : en
Publisher: CRC Press
Release Date : 2001-06-28

Statistical Thinking For Managers written by J.A. John and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-28 with Mathematics categories.


All business activities are subject to variability. As a consequence, managers and business students need the ability to think statistically about how to deal with the resulting uncertainty and its effect on decision-making in management and commerce. To give them that ability, there is a growing recognition that we must change the way business statistics is taught. Traditional texts tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the real needs of future business managers. Statistical Thinking for Managers takes a very different, very practical, approach that presents even sophisticated statistics concepts with a minimum of mathematics. It focuses on statistical thinking and discusses a range of topics that specifically apply to managers in business. Its scenario-based, interactive format and integrated use of Excel facilitate and reinforce the learning experience. Through this innovative treatment, readers will gain the ability to: " Appreciate basic statistical ideas " Use a scientific approach to problem solving " Understand the nature of variability " Use meaningful information to make informed decisions " Think in terms of processes and systems and develop strategies for process improvement Designed as an introductory text in business statistics, Statistical Thinking for Managers challenges the way students look at business problems and issues. It shows them the importance of statistics in all aspects of business and equips them with the skills they need to make informed and effective decisions.



Statistical Thinking In Business


Statistical Thinking In Business
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Author : J. A. John
language : en
Publisher: CRC Press
Release Date : 2005-08-29

Statistical Thinking In Business written by J. A. John and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-29 with Business & Economics categories.


Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in



Fundamentals Of Statistical Thinking


Fundamentals Of Statistical Thinking
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Author : Yuly Koshevnik
language : en
Publisher: Cognella Academic Publishing
Release Date : 2022-06-21

Fundamentals Of Statistical Thinking written by Yuly Koshevnik and has been published by Cognella Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-21 with categories.


Written for students with basic experience in college algebra and applied calculus, Fundamentals of Statistical Thinking: Tools and Applications familiarizes readers with fundamental concepts in statistical thinking in order to prepare them for specialized management courses such as econometrics and quantitative analysis. The book is organized into four sections, each of which focuses on a common tool used in application. Chapters 1 through 4 discuss data analysis and summaries, with an emphasis on descriptive statistics and visualization. In Chapters 5 through 8 students learn about probability models and sampling distributions. Chapters 9 and 10 deal with statistical inferences, while Chapters 11 and 12 provide further applications for categorical data and simple linear regression models. Graphical illustrations support the written text and each chapter concludes with a visual summary. Rooted in over ten years of classroom experience at both the undergraduate and graduate levels, Fundamentals of Statistical Thinking helps readers understand the importance of the main technical tools of statistical decision making, and explains when they can most appropriately be used for applied studies.