Common Errors in Statistics (and How to Avoid Them)
Common Errors in Statistics (and How to Avoid Them)

Author: Phillip I. Good

Publisher: John Wiley & Sons

Published: 2006-06-23

Total Pages: 268

ISBN-13: 0471998516

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Praise for the First Edition of Common Errors in Statistics " . . . let me recommend Common Errors to all those who interact with statistics, whatever their level of statistical understanding . . . " --Stats 40 " . . . written . . . for the people who define good practice rather than seek to emulate it." --Journal of Biopharmaceutical Statistics " . . . highly informative, enjoyable to read, and of potential use to a broad audience. It is a book that should be on the reference shelf of many statisticians and researchers." --The American Statistician " . . . I found this book the most easily readable statistics book ever. The credit for this certainly goes to Phillip Good." --E-STREAMS A tried-and-true guide to the proper application of statistics Now in a second edition, the highly readable Common Errors in Statistics (and How to Avoid Them) lays a mathematically rigorous and readily accessible foundation for understanding statistical procedures, problems, and solutions. This handy field guide analyzes common mistakes, debunks popular myths, and helps readers to choose the best and most effective statistical technique for each of their tasks. Written for both the newly minted academic and the professional who uses statistics in their work, the book covers creating a research plan, formulating a hypothesis, specifying sample size, checking assumptions, interpreting p-values and confidence intervals, building a model, data mining, Bayes' Theorem, the bootstrap, and many other topics. The Second Edition has been extensively revised to include: * Additional charts and graphs * Two new chapters, Interpreting Reports and Which Regression Method? * New sections on practical versus statistical significance and nonuniqueness in multivariate regression * Added material from the authors' online courses at statistics.com * New material on unbalanced designs, report interpretation, and alternative modeling methods With a final emphasis on both finding solutions and the great value of statistics when applied in the proper context, this book is eminently useful to students and professionals in the fields of research, industry, medicine, and government.

Common Errors in Statistics (and How to Avoid Them)
Common Errors in Statistics (and How to Avoid Them)

Author: Phillip I. Good

Publisher: Wiley

Published: 2009-10-06

Total Pages: 304

ISBN-13: 0470473916

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Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Common Errors in Statistics
Common Errors in Statistics

Author: Phillip I. Good

Publisher: John Wiley & Sons

Published: 2003-08-29

Total Pages: 236

ISBN-13: 0471463779

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A guide to choosing and using the right techniques High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statistical software no more makes one a statistician than a scalpel makes one a surgeon. Choosing the proper technique and understanding the analytical context is of paramount importance to the proper application of statistics. The highly readable Common Errors in Statistics (and How to Avoid Them) provides both newly minted academics and professionals who use statistics in their work with a handy field guide to statistical problems and solutions. Good and Hardin begin their handbook by establishing a mathematically rigorous but readily accessible foundation for statistical procedures. They focus on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. A handy checklist is provided to summarize the necessary steps. Topics covered include: * Creating a research plan * Formulating a hypothesis * Specifying sample size * Checking assumptions * Interpreting p-values and confidence intervals * Building a model * Data mining * Bayes' Theorem, the bootstrap, and many others Common Errors in Statistics (and How to Avoid Them) also contains reprints of classic articles from statistical literature to re-examine such bedrock subjects as linear regression, the analysis of variance, maximum likelihood, meta-analysis, and the bootstrap. With a final emphasis on finding solutions and on the great value of statistics when applied in the proper context, this book will prove eminently useful to students and professionals in the fields of research, industry, medicine, and government.

Common Mistakes in Teaching Elementary Math—And How to Avoid Them
Common Mistakes in Teaching Elementary Math—And How to Avoid Them

Author: Fuchang Liu

Publisher: Routledge

Published: 2017-03-27

Total Pages: 236

ISBN-13: 1315511754

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Learn the most effective ways to teach elementary math, no matter how much experience you have with the subject. In this book, Fuchang Liu takes you through many common mistakes in math instruction and explains the misunderstandings behind them. He points out practices that should be avoided, helping you to adjust your lessons so that all students can achieve success. You’ll discover how to... - Increase your confidence with core math principles and reasoning - Set your students on the path toward eventually developing more complex math skills - Improve student achievement by approaching problems in logical yet creative ways - Overcome common challenges faced by students and teachers - Teach problem solving for different learning styles Every chapter reconsiders well-established ways of teaching all areas of elementary math, from addition and subtraction to statistics and graphs. Helpful examples and tips are scattered throughout the book, offering revisions to the way these topics are often presented in the classroom. Also included are group study ideas for principals and instructional coaches so your school or district can work on the book together. With this practical guide, you’ll be ready to help students truly develop their math understanding.

Health Program Planning and Evaluation: A Practical, Systematic Approach for Community Health
Health Program Planning and Evaluation: A Practical, Systematic Approach for Community Health

Author: L. Michele Issel

Publisher: Jones & Bartlett Publishers

Published: 2009-09-14

Total Pages: 631

ISBN-13: 1449654576

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The Second Edition of Health Program Planning and Evaluation will help you to systematically develop, thoughtfully implement, and rigorously evaluate health programs across a variety of health disciplines. This thorough revision includes updated examples and references throughout, reflecting the major changes within the field. This outstanding resource prepares students and professionals to become savvy consumers of evaluation reports and prudent users of evaluation consultants. It presents practical tools and concepts in language suitable for both the practicing and novice health program planner and evaluator.

Wind Resource Assessment and Micro-siting
Wind Resource Assessment and Micro-siting

Author: Matthew Huaiquan Zhang

Publisher: John Wiley & Sons

Published: 2015-05-26

Total Pages: 320

ISBN-13: 1118900138

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Covers all the key areas of wind resource assessment technologies from an engineer’s perspective Focuses on wind analysis for wind plant siting, design and analysis Addresses all aspects from atmospheric boundary layer characteristics, to wind resource measurement systems, uncertainties in measurements, computations and analyses, to plant performance Covers the basics of atmospheric science through to turbine siting, turbine responses, and to environmental impacts Contents can be used for research purposes as well as a go-to reference guide, written from the perspective of a hands-on engineer Topic is of ongoing major international interest for its economic and environmental benefits

Research Tecniches In Library And Informatiuo Science
Research Tecniches In Library And Informatiuo Science

Author: Dr. Shalini Munindra Sakharkar

Publisher: BFC Publications

Published: 2023-04-01

Total Pages: 177

ISBN-13: 9357641882

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Library and Information Science (LIS) is a very broad discipline, which uses a wide range of constantly evolving research strategies and techniques. In the first category are included descriptive studies, predictive/explanatory studies, bibliometric studies, content analysis, and operation research studies. Professionals have been arguing for long whether library professionals should pursue publication despite heavy professional and administrative responsibilities. Actually, conducting research by library professionals is crucial and utmost needed to enhance day to day problem solving and better decision making in libraries. In addition, it makes librarians critical consumers of research publications and equips them to provide efficient information services to research scholars and faculty members. Group based and collaborative research ought to be encouraged so that concrete research outcomes can be expected from these professionals. This will also help in developing the culture of research in academic institutions. In addition, research-oriented training programmes ought to be conducted on a periodic basis so that new entrants in the profession can also learn the nuances of conducting pure, applied and action research. The Present book entitled "Research Methodology and Techniques in Library and Information Science" Discusses all the essential aspects of research , tools and statistical techniques, test and research report writing in the field of Library and Information Science. This book is devised as an introductory text for researchers in social sciences in general and LIBRARY AND INFORMATION SCIENCE in particular. The vital information is gathered under five main chapters. Glossary of relevant terms and bibliography are added features of the book. Definitely hopefully , this present book will prove informative and useful to academics , professionals and research scholars. All Constructive and valuable Suggestions for the betterment of this book will always be appreciated and welcome.

Quantifying Measurement
Quantifying Measurement

Author: Jeffrey H Williams

Publisher: Morgan & Claypool Publishers

Published: 2016-11-01

Total Pages: 169

ISBN-13: 1681744341

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Measurements and experiments are made each and every day, in fields as disparate as particle physics, chemistry, economics and medicine, but have you ever wondered why it is that a particular experiment has been designed to be the way it is. Indeed, how do you design an experiment to measure something whose value is unknown, and what should your considerations be on deciding whether an experiment has yielded the sought after, or indeed any useful result? These are old questions, and they are the reason behind this volume. We will explore the origins of the methods of data analysis that are today routinely applied to all measurements, but which were unknown before the mid-19th Century. Anyone who is interested in the relationship between the precision and accuracy of measurements will find this volume useful. Whether you are a physicist, a chemist, a social scientist, or a student studying one of these subjects, you will discover that the basis of measurement is the struggle to identify the needle of useful data hidden in the haystack of obscuring background noise.

Statistical Methods for Quality Improvement
Statistical Methods for Quality Improvement

Author: Thomas P. Ryan

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 578

ISBN-13: 1118058100

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Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis
The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

Author: Todd D. Little

Publisher: Oxford University Press

Published: 2013-02-01

Total Pages: 784

ISBN-13: 0199934908

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Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.