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Author: Herbert Spirer
Publisher: CRC Press
ISBN: 9780824702113
Category : Mathematics
Languages : en
Pages : 282
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Book Description
"Revised and updated edition of a standard in the field. Alerts readers to the problems, inherent in statistical practice-illustrating the types of misused statistics with well-documented, real-world examples, nearly half new to this edition, drawn from a wide range of areas, including the media, public policy, polls and surveys, political elections and debates, advertising, science and health care, and business and economics."
Author: Herbert Spirer
Publisher: CRC Press
ISBN: 9780824702113
Category : Mathematics
Languages : en
Pages : 282
Get Book Here
Book Description
"Revised and updated edition of a standard in the field. Alerts readers to the problems, inherent in statistical practice-illustrating the types of misused statistics with well-documented, real-world examples, nearly half new to this edition, drawn from a wide range of areas, including the media, public policy, polls and surveys, political elections and debates, advertising, science and health care, and business and economics."
Author: Mark Battersby
Publisher: Broadview Press
ISBN: 1770485988
Category : Philosophy
Languages : en
Pages : 306
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Book Description
How much should we trust the polls on the latest electoral campaign? When a physician tells us that a diagnosis of cancer is 90% certain or a nutritionist tells us what is healthy to eat, what should we believe? Questions such as these are greatly important, yet many of us have only a vague sense of how to answer them. In Is That a Fact?, Mark Battersby aims not only to explain how to identify misleading statistics and research, but also to give readers the understanding necessary to evaluate and use statistical information in their own decision making. This second edition is revised and updated throughout and includes a new chapter on weighing risk in personal and public decision making.
Author:
Publisher: FEMA
ISBN:
Category :
Languages : en
Pages : 71
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Book Description
Author: Matthew B. Robinson
Publisher: SUNY Press
ISBN: 1438448384
Category : Political Science
Languages : en
Pages : 330
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Book Description
Revised and updated edition that analyses how the Office of National Drug Control Policy employs statistics to misleadingly claim the War on Drugs is a success. First published in 2007, Lies, Damned Lies, and Drug War Statistics critically analyzed claims made by the Office of National Drug Control Policy (ONDCP), the White House agency of accountability in the nations drug war since 1989, as found in the six editions of the annual National Drug Control Strategy between 2000 and 2005. In this revised and updated second edition of their critically acclaimed work, Matthew B. Robinson and Renee G. Scherlen examine seven more recent editions (20062012) to once again determine if ONDCP accurately and honestly presents information or intentionally distorts evidence to justify continuing the drug war. They uncover the many ways in which ONDCP manipulates statistics and visually presents that information to the public. Their analysis demonstrates a drug war that consistently fails to reduce drug use, drug fatalities, or illnesses associated with drug use; fails to provide treatment for drug-dependent users; and drives up the prices of drugs. They conclude with policy recommendations for reforming ONDCPs use of statistics, as well as how the nation fights the war on drugs. Praise for the First Edition Lies, Damned Lies, and Drug War Statistics is surprisingly easy to read, and Robinson and Scherlen have done a huge favor not only to critics of current drug policy by compiling this damning critique of ONDCP claims, but also to anyone interested in how data is compiled, presented, and misused by bureaucrats attempting to guard their domains. It should be required reading for members of Congress. Drug War Chronicle Book Review The authors have performed a valuable service to our democracy with their meticulous analysis of the White House ONDCP public statements and reports. They have pulled the sheet off what appears to be an official policy of deception using clever and sometimes clumsy attempts at statistical manipulation. This document, at last, gives us a map of the truth. Mike Gray, author of Drug Crazy: How We Got into This Mess and How We Can Get Out Robinson and Scherlen make a valuable contribution to documenting how ONDCP fails to live up to basic standards of accountability and consistency. Ethan Nadelmann, Executive Director, Drug Policy Alliance
Author: Ying Lu
Publisher: World Scientific
ISBN: 9814583324
Category : Medical
Languages : en
Pages : 1471
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Book Description
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
Author: Alex Reinhart
Publisher: No Starch Press
ISBN: 1593276206
Category : Mathematics
Languages : en
Pages : 177
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Book Description
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
Author: Robert Donnelly
Publisher: Penguin
ISBN: 1101097744
Category : Mathematics
Languages : en
Pages : 422
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Book Description
Not a numbers person? No problem! This new edition is aimed at high school and college students who need to take statistics to fulfill a degree requirement and follows a standard statistics curriculum. Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more. -Emphasizes Microsoft Excel for number-crunching and computations Download a sample chapter.
Author: Steven R. Terrell
Publisher: Guilford Publications
ISBN: 1462545408
Category : Social Science
Languages : en
Pages : 458
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Book Description
Roping the reader in with humor and real-world case examples presented as mysteries to be solved, this engaging text has been updated with new cases, the latest version of SPSS, and new coverage of multivariate analysis of variance. Steven R. Terrell prepares students and practitioners to become informed consumers of statistics so that they can make decisions based on data, and understand decisions others have made. He identifies six simple steps and guides readers to master them--from identifying a researchable problem to stating a hypothesis; identifying independent and dependent variables; and selecting, computing, and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. New to This Edition *All software instructions and examples are updated to SPSS Version 25. *Expanded chapter on the analysis of variance (ANOVA)--now covers multivariate ANOVA. *New and revised examples and quiz items pertaining to a broader range of fields, such as business, information systems, and medical sciences, along with education and psychology. Pedagogical Features *Examples of SPSS screenshots used for analyzing data. *User-friendly cautionary notes, "Putting it All Together" recaps, and alerts, such as "notice the effect size" or "check the direction of the mean scores." *End-of-chapter "Quiz Time" exercises that guide students to answer intriguing questions like whether working from home increases productivity, or whether age affects how long it takes to complete a doctoral degree. *Lists of key terms and formulas in each chapter, plus end-of-book glossary.
Author: Sandra D. Schlotzhauer
Publisher: SAS Institute
ISBN: 1607644266
Category : Computers
Languages : en
Pages : 560
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Book Description
Bridging the gap between statistics texts and SAS documentation, Elementary Statistics Using SAS is written for those who want to perform analyses to solve problems. The first section of the book explains the basics of SAS data sets and shows how to use SAS for descriptive statistics and graphs. The second section discusses fundamental statistical concepts, including normality and hypothesis testing. The remaining sections of the book show analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, author Sandra Schlotzhauer explains assumptions, statistical approach, and SAS methods and syntax, and makes conclusions from the results. Statistical methods covered include two-sample t-tests, paired-difference t-tests, analysis of variance, multiple comparison techniques, regression, regression diagnostics, and chi-square tests. Elementary Statistics Using SAS is a thoroughly revised and updated edition of Ramon Littell and Sandra Schlotzhauer's SAS System for Elementary Statistical Analysis.
Author: Darrell Huff
Publisher: W. W. Norton & Company
ISBN: 0393070875
Category : Mathematics
Languages : en
Pages : 144
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Book Description
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.
