A Guide to Statistical Thinking Third Edition SCC Fifth Edition
Author: James E. Mays
Publisher: Macmillan
Published: 2005-01-15
Total Pages: 198
ISBN-13: 9780716772552
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Author: James E. Mays
Publisher: Macmillan
Published: 2005-01-15
Total Pages: 198
ISBN-13: 9780716772552
DOWNLOAD EBOOKAuthor: Becky Durfee
Publisher: Createspace Independent Publishing Platform
Published: 2017-04-13
Total Pages: 224
ISBN-13: 9781544621203
DOWNLOAD EBOOKThis workbook accompanies STAT 208 at Virginia Commonwealth University
Author: Stephen K. Campbell
Publisher: Courier Corporation
Published: 2012-05-14
Total Pages: 210
ISBN-13: 0486140512
DOWNLOAD EBOOKNontechnical 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.
Author: Roger W. Hoerl
Publisher: John Wiley & Sons
Published: 2020-09-16
Total Pages: 640
ISBN-13: 1119605717
DOWNLOAD EBOOKApply 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.
Author: M. D. Edge
Publisher:
Published: 2019
Total Pages: 318
ISBN-13: 0198827628
DOWNLOAD EBOOKFocuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.
Author: Theodore M. Porter
Publisher: Princeton University Press
Published: 2020-08-18
Total Pages: 360
ISBN-13: 0691208425
DOWNLOAD EBOOKAn 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.
Author: Theodore M. Porter
Publisher: Princeton University Press
Published: 2020-08-18
Total Pages: 360
ISBN-13: 0691210527
DOWNLOAD EBOOKAn 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.
Author: Libby Schweber
Publisher: Duke University Press
Published: 2006-11-28
Total Pages: 292
ISBN-13: 9780822338147
DOWNLOAD EBOOKDisciplining Statistics contrasts the different ways that statistical knowledge was developed and used in England and France during the nineteenth century.
Author: Longbing Cao
Publisher: Springer
Published: 2018-08-17
Total Pages: 404
ISBN-13: 3319950924
DOWNLOAD EBOOKThis book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.
Author: Benjamin Yakir
Publisher:
Published: 2014-09-19
Total Pages: 324
ISBN-13: 9781502424662
DOWNLOAD EBOOKIntroduction to Statistical ThinkingBy Benjamin Yakir