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Thinking Statistically
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Book Synopsis Thinking Statistically by : Uri Bram
Download or read book Thinking Statistically written by Uri Bram and published by Capara Books. This book was released on 2017-07-07 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinking Statistically is the "sharp little book" that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.
Book Synopsis Statistical Thinking by : Roger W. Hoerl
Download or read book Statistical Thinking written by Roger W. Hoerl and published by John Wiley & Sons. This book was released on 2012-04-09 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Thinking in Sports by : Jim Albert
Download or read book Statistical Thinking in Sports written by Jim Albert and published by CRC Press. This book was released on 2007-07-12 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 best defined the winning edge. However, they may not have always counted the right numbers. Many of our hallowed beliefs about sports statistics have long been fraught with misnomers. Whether it concerns Scottish football or American baseball, the most revered statistics often have little to do with any winning edge. Covering an international collection of sports, Statistical Thinking in Sports provides an accessible survey of current research in statistics and sports, written by experts from a variety of arenas. Rather than rely on casual observation, they apply the rigorous tools of statistics to re-examine many of those concepts that have gone from belief to fact, based mostly on the repetition of their claims. Leaving assumption behind, these researchers take on a host of tough questions- Is a tennis player only as good as his or her first serve? Is there such a thing as home field advantage? Do concerns over a decline in soccer's competitive balance have any merit? What of momentum-is its staying power any greater than yesterday's win? And what of pressure performers? Are there such creatures or ultimately, does every performer fall back to his or her established normative? Investigating a wide range of international team and individual sports, the book considers the ability to make predictions, define trends, and measure any number of influences. It is full of interesting and useful examples for those teaching introductory statistics. Although the articles are aimed at general readers, the serious researcher in sports statistics will also find the articles of value and highly useful as starting points for further research.
Book Synopsis Thinking Through Statistics by : John Levi Martin
Download or read book Thinking Through Statistics written by John Levi Martin and published by University of Chicago Press. This book was released on 2018-08-21 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
Book Synopsis Flaws and Fallacies in Statistical Thinking by : Stephen K. Campbell
Download or read book Flaws and Fallacies in Statistical Thinking written by Stephen K. Campbell and published by Courier Corporation. This book was released on 2012-05-14 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introduction to Statistical Thinking by : Benjamin Yakir
Download or read book Introduction to Statistical Thinking written by Benjamin Yakir and published by . This book was released on 2014-09-19 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical ThinkingBy Benjamin Yakir
Book Synopsis Thinking Statistically by : Connie S. Singh
Download or read book Thinking Statistically written by Connie S. Singh and published by . This book was released on 2006-08-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Thinking in Epidemiology by : Yu-Kang Tu
Download or read book Statistical Thinking in Epidemiology written by Yu-Kang Tu and published by CRC Press. This book was released on 2016-04-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems
Book Synopsis Statistical Thinking for Non-Statisticians in Drug Regulation by : Richard Kay
Download or read book Statistical Thinking for Non-Statisticians in Drug Regulation written by Richard Kay and published by John Wiley & Sons. This book was released on 2022-11-29 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: STATISTICAL THINKING FOR NON-STATISTICIANS IN DRUG REGULATION Statistical methods in the pharmaceutical industry are accepted as a key element in the design and analysis of clinical studies. Increasingly, the medical and scientific community are aligning with the regulatory authorities and recognizing that correct statistical methodology is essential as the basis for valid conclusions. In order for those correct and robust methods to be successfully employed there needs to be effective communication across disciplines at all stages of the planning, conducting, analyzing and reporting of clinical studies associated with the development and evaluation of new drugs and devices. Statistical Thinking for Non-Statisticians in Drug Regulation provides a comprehensive in-depth guide to statistical methodology for pharmaceutical industry professionals, including physicians, investigators, medical science liaisons, clinical research scientists, medical writers, regulatory personnel, statistical programmers, senior data managers and those working in pharmacovigilance. The author’s years of experience and up-to-date familiarity with pharmaceutical regulations and statistical practice within the wider clinical community make this an essential guide for the those working in and with the industry. The third edition of Statistical Thinking for Non-Statisticians in Drug Regulation includes: A detailed new chapter on Estimands in line with the 2019 Addendum to ICH E9 Major new sections on topics including Combining Hierarchical Testing and Alpha Adjustment, Biosimilars, Restricted Mean Survival Time, Composite Endpoints and Cumulative Incidence Functions, Adjusting for Cross-Over in Oncology, Inverse Propensity Score Weighting, and Network Meta-Analysis Updated coverage of many existing topics to reflect new and revised guidance from regulatory authorities and author experience Statistical Thinking for Non-Statisticians in Drug Regulation is a valuable guide for pharmaceutical and medical device industry professionals, as well as statisticians joining the pharmaceutical industry and students and teachers of drug development.
Book Synopsis Thinking Statistically by : Anthony Banfield
Download or read book Thinking Statistically written by Anthony Banfield and published by Xlibris Corporation. This book was released on 2017-04-26 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical statements and results are read and used in everyday life and are also presented in the form of charts and diagrams. This book covers basic introductory statistics and brings to light how these statistical results are arrived at, starting with the collection of the data, its organization and summarisation, followed by the mathematical tools used both graphical and analytical to depict, describe, analyse and interpret the data. The book begins with a chapter that discusses what is data, types of data, and examines the difference between data collected for a population as opposed to a sample. The chapters that follow go on to discuss the organisation and summarisation of data in the form of frequency distributions to make it clearer and more manageable to deal with. Also covered are various graphical devices such as bar graphs, pie charts, histograms, frequency polygons, by which data may be depicted to make it easier to visualize and reveal any patterns or trends. Attention is then directed to analytical methods used to describe and characterise data sets by calculating some special numbers called numerical descriptive measures which include measures of central tendency (mean, median, mode), measures of dispersion (range, standard variation, variance), measures of relative standing (percentiles, quartiles, z- scores) and measures of association (coefficient of correlation). The book concludes with a chapter presenting some basic methods of fitting a straight line to a data set that shows a somewhat linear relationship between two variables thus allowing predictions to be made about the value of one variable given the value of the other variable. Within each chapter wherever new statistical terms are introduced for the first time they are identified in bold type and at the end of each chapter these key terms are summarised and defined or explained. There are also various detailed worked examples in each chapter to help the reader improve his/her understanding of the material discussed.
Book Synopsis The Challenge of Developing Statistical Literacy, Reasoning and Thinking by : Dani Ben-Zvi
Download or read book The Challenge of Developing Statistical Literacy, Reasoning and Thinking written by Dani Ben-Zvi and published by Springer Science & Business Media. This book was released on 2006-02-23 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Thinking in Business by : J. A. John
Download or read book Statistical Thinking in Business written by J. A. John and published by CRC Press. This book was released on 2005-08-29 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Statistical Thinking for Managers by : David K. Hildebrand
Download or read book Statistical Thinking for Managers written by David K. Hildebrand and published by Pws Publishing Company. This book was released on 1991 with total page 1014 pages. Available in PDF, EPUB and Kindle. Book excerpt: * The emphasis of this book is on the thoughtful selection of methods and critical interpretation of results, rather than on competition.
Book Synopsis Statistical Thinking Through Media Examples by : Anthony Donoghue
Download or read book Statistical Thinking Through Media Examples written by Anthony Donoghue and published by Cognella Academic Publishing. This book was released on 2021-08-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Thinking by : Leonard C. Onyiah
Download or read book Statistical Thinking written by Leonard C. Onyiah and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Thinking from Scratch by : M. D. Edge
Download or read book Statistical Thinking from Scratch written by M. D. Edge and published by Oxford University Press, USA. This book was released on 2019-06-13 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Statistical Thinking: a Simulation Approach to Modeling Uncertainty by : Andrew Zieffler
Download or read book Statistical Thinking: a Simulation Approach to Modeling Uncertainty written by Andrew Zieffler and published by . This book was released on 2012-08-29 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
