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Common Errors In Statistics


Common Errors In Statistics
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Common Errors In Statistics And How To Avoid Them


Common Errors In Statistics And How To Avoid Them
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Author : Phillip I. Good
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20

Common Errors In Statistics And How To Avoid Them written by Phillip I. Good 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 2011-09-20 with Mathematics categories.


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
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Author : Phillip I. Good
language : en
Publisher: John Wiley & Sons
Release Date : 2003-08-29

Common Errors In Statistics written by Phillip I. Good 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 2003-08-29 with Mathematics categories.


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 Errors In Statistics And How To Avoid Them 4th Edition


Common Errors In Statistics And How To Avoid Them 4th Edition
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Author : Phillip Good
language : en
Publisher:
Release Date : 2012

Common Errors In Statistics And How To Avoid Them 4th Edition written by Phillip Good and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.


Praise for Common Errors in Statistics (and How to Avoid Them) "A very engaging and valuable book for all who use statistics in any setting."--CHOICE "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." --MAA Reviews Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically rigorous, yet readily accessible foundation in statistics for experienced readers as well as students learning to design and complete experiments, surveys, and clinical trials. Providing a consistent level of coherency throughout, the highly readable Fourth Edition focuses on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. The authors begin with an introduction to the main sources of error and provide techniques for avoiding them. Subsequent chapters outline key methods and practices for accurate analysis, reporting, and model building. The Fourth Edition features newly added topics, including: Baseline data Detecting fraud Linear regression versus linear behavior Case control studies Minimum reporting requirements Non-random samples The book concludes with a glossary that outlines key terms, and an extensive bibliography with several hundred citations directing readers to resources for further study. Presented in an easy-to-follow style, Common Errors in Statistics, Fourth Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.



Common Errors In Statistics And How To Avoid Them 2nd Edition Introduction To Statistics Through Resampling Methods And Microsoft Office Excel


Common Errors In Statistics And How To Avoid Them 2nd Edition Introduction To Statistics Through Resampling Methods And Microsoft Office Excel
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Author : Phillip I. Good
language : en
Publisher: Wiley-Interscience
Release Date : 2008-03-14

Common Errors In Statistics And How To Avoid Them 2nd Edition Introduction To Statistics Through Resampling Methods And Microsoft Office Excel written by Phillip I. Good and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-14 with Mathematics categories.


This set contains: 9780471794318 Common Errors in Statistics (and How to Avoid Them), 2nd Edition and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S Plus?? both by Phillip I. Good and James W. Hardin.



Encyclopedia Of Survey Research Methods


Encyclopedia Of Survey Research Methods
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Author : Paul J. Lavrakas
language : en
Publisher: SAGE Publications
Release Date : 2008-09-12

Encyclopedia Of Survey Research Methods written by Paul J. Lavrakas and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-12 with Social Science categories.


To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.



How To Lie With Statistics


How To Lie With Statistics
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Author : Darrell Huff
language : en
Publisher: W. W. Norton & Company
Release Date : 2010-12-07

How To Lie With Statistics written by Darrell Huff and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-07 with Mathematics categories.


If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.



Common Errors In Statistics And How To Avoid Them Third Edition And Introduction To Statistics Through Resampling Methods And R S Plus Set


Common Errors In Statistics And How To Avoid Them Third Edition And Introduction To Statistics Through Resampling Methods And R S Plus Set
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Author : Phillip I. Good
language : en
Publisher: Wiley
Release Date : 2009-07-07

Common Errors In Statistics And How To Avoid Them Third Edition And Introduction To Statistics Through Resampling Methods And R S Plus Set written by Phillip I. Good and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-07 with Mathematics categories.


This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-45798-6) and Introduction to Statistics Through Resampling Methods and R/S-PLUS (978-0-471-71575-7)



Intermediate Statistics For Dummies


Intermediate Statistics For Dummies
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Author : Deborah J. Rumsey
language : en
Publisher: John Wiley & Sons
Release Date : 2007-02-26

Intermediate Statistics For Dummies written by Deborah J. Rumsey 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 2007-02-26 with Mathematics categories.


Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step procedures—all in a language you can understand. You’ll soon discover how to: Analyze data and base models off of your data Make predictions using regression Compare many means with ANOVA Test models using Chi-square Dealing with abnormal data In addition, this book includes a list of wrong statistical conclusions and common questions that professors ask using computer output. This book also adopts a nonlinear approach, making it possible to skip to the information you need without having to read previous chapters. With Intermediate Statistics For Dummies, you’ll have all the tools you need to make important decisions in all types of professional areas—from biology and engineering to business and politics!



Common Errors In Statistics And How To Avoid Them Second Edition Introduction To Statistics Through Resampling Methods And R S Plus Set


Common Errors In Statistics And How To Avoid Them Second Edition Introduction To Statistics Through Resampling Methods And R S Plus Set
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Author : Phillip I. Good
language : en
Publisher: Wiley-Interscience
Release Date : 2008-02-27

Common Errors In Statistics And How To Avoid Them Second Edition Introduction To Statistics Through Resampling Methods And R S Plus Set written by Phillip I. Good and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-27 with categories.


This set contains: 9780471794318 Common Errors in Statistics(and How to Avoid Them), Second Edition by Phillip I. Good, James W. Hardin and 9780471715757 Introduction to Statistics Through Resampling Methods and R/S-Plus by Phillip I. Good.



Handbook For Teaching Statistics And Research Methods


Handbook For Teaching Statistics And Research Methods
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Author : Mark E. Ware
language : en
Publisher: Psychology Press
Release Date : 2013-11-26

Handbook For Teaching Statistics And Research Methods written by Mark E. Ware and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-26 with Psychology categories.


This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.