Understanding Statistics And Statistical Myths


Understanding Statistics And Statistical Myths
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Understanding Statistics And Statistical Myths


Understanding Statistics And Statistical Myths
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Author : Kicab Castaneda-Mendez
language : en
Publisher: CRC Press
Release Date : 2015-11-18

Understanding Statistics And Statistical Myths written by Kicab Castaneda-Mendez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-18 with Business & Economics categories.


Addressing 30 statistical myths in the areas of data, estimation, measurement system analysis, capability, hypothesis testing, statistical inference, and control charts, this book explains how to understand statistics rather than how to do statistics. Every statistical myth listed in this book has been stated in course materials used by the author



Statistical And Methodological Myths And Urban Legends


Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2010-10-18

Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-18 with Psychology categories.


This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.



The Myth Of Statistical Inference


The Myth Of Statistical Inference
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Author : Michael C. Acree
language : en
Publisher: Springer Nature
Release Date : 2021-07-05

The Myth Of Statistical Inference written by Michael C. Acree and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-05 with Psychology categories.


This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.



The Myth Of Statistical Inference


The Myth Of Statistical Inference
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Author : Michael C. Acree
language : en
Publisher:
Release Date : 2021

The Myth Of Statistical Inference written by Michael C. Acree and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


This book proposes and explores the idea that the forced union of the aleatory and epistemic aspects of probability is a sterile hybrid, inspired and nourished for 300 years by a false hope of formalizing inductive reasoning, making uncertainty the object of precise calculation. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but makes clear the guiding ideas and ambitions that motivated the formulation of particular methods, this book offers an understanding of statistical inference which has not hitherto been available. It will also serve as a supplement to the standard statistics texts. Finally, general readers will find here an interesting study with implications far beyond statistics. The development of statistical inference, to its present position of prominence in the social sciences, epitomizes a number of trends in Western intellectual history of the last three centuries, and the 11th chapter, considering the function of statistical inference in light of our needs for structure, rules, authority, and consensus in general, develops some provocative parallels, especially between epistemology and politics.



More Statistical And Methodological Myths And Urban Legends


More Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2014-11-05

More Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-05 with Psychology categories.


This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.” What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more.



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 : 2006-06-23

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 2006-06-23 with Mathematics categories.


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.



How To Lie With Numbers Stats Graphs


How To Lie With Numbers Stats Graphs
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date :

How To Lie With Numbers Stats Graphs written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.


How to Lie with Numbers, Stats & Graphs is a book that contains two of our best sellers – and by far our funniest! In this eye-opening book, award-winning statistician and author Lee Baker uncovers the key tricks of the trade used by politicians, corporations and other statistical conmen to deceive, hoodwink and otherwise dupe the unwary. Blurb: Truth, Lies & Statistics Pirates, cats, Mexican lemons and North Carolina lawyers. Cheese consumption, margarine and drowning by falling out of fishing boats. This book has got it all. A roller coaster of a book in 8 witty chapters, this might just be the most entertaining statistics book you’ll read this year. Did you know that pirates caused global warming, and that a statistical lie gave rise to one of the fastest growing religions on the planet? Probably not – you might have missed the memo that day. Did you also know that organic food is the real cause of autism, and that Mexican lemons are a major cause of deaths on American roads? They’re true, honest – and this book has got the stats to prove it. In this eye-opening book, award winning statistician and author Lee Baker uncovers the key tricks of the trade used by politicians, corporations and other statistical conmen to deceive, hoodwink and otherwise dupe the unwary. Like how the ex-Chancellor of the Exchequer attempted to persuade us that 5 lots of 10 make 150, or how the President of the United States tried to convince us that 420,000 is a larger number than 782,000. Nice try boys, but we were awake that day! In his trademark sardonic style, the author reveals the secrets of how the statistical hustlers manipulate and misrepresent data for political or commercial gain – and often get away with it. Blurb: Graphs Don't Lie Sarah Palin, abortions, global warming and Usain Bolt. The CEO of Apple, 35 trillion gun deaths in 1995, Fox News and 193%. This book has got scandals galore! With 9 witty chapters taking you on a roller coaster tour of graphical lies, pictorial deceits and pie charts of mayhem, this might just be the most entertaining book about graphs you’ll read this year. Did you know that between them, Sarah Palin, Mike Huckabee and Mitt Romney enjoyed a total of 193% support from Republican candidates in the 2012 US primaries? It must be true – it was on a pie chart broadcast on Fox News. Did you also know that the number 34 is smaller than 14, and zero is much bigger than 22? Honest, it’s true, it was published in a respectable national newspaper after the 2017 UK General Election. There can’t have been any kind of misdirection here because they were all shown on a pie chart. In this astonishing book, award winning statistician and author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience. Like how a shocking, and yet seemingly innocuous statement as “Every year since 1950, the number of children gunned down has doubled”, meant that there should have been at least 35 trillion gun deaths in 1995 alone, the year the quote was printed in a reputable journal. Or how an anti-abortion group made their point by trying to convince us all that 327,000 is actually a larger number than 935,573. Nice try, but no cigar – we weren’t born yesterday. In his trademark sardonic style, the author reveals the secrets of how the statistical hustlers use graphs and charts to manipulate and misrepresent for political or commercial gain – and often get away with it. Written as a layman’s guide to lying, cheating and deceiving with data, statistics and graphs, in this book there’s not a dull page in sight! And there are elephants too… Discover the exciting world of lying with data, statistics and graphs. Get this book, TODAY!



What Is A P Value Anyway


What Is A P Value Anyway
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Author : Andrew Vickers
language : en
Publisher: Pearson
Release Date : 2010

What Is A P Value Anyway written by Andrew Vickers and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


What is a p-value Anyway? offers a fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.



Health And Lifestyle


Health And Lifestyle
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Author : Brian S. Everitt
language : en
Publisher: Springer
Release Date : 2016-10-19

Health And Lifestyle written by Brian S. Everitt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-19 with Mathematics categories.


The main message of this book is that people should be on their guard against both scare stories about risks to health, and claims for miracle cures of medical conditions. In the 21st century hardly a day passes without another article appearing in the media about a new treatment for a particular disease, new ways of improving our health by changing our lifestyle or new foodstuffs that claim to increase (or decrease) the risk of heart disease, cancer and the like. But how should the general public react to such claims, given that some of the journalists writing them focus on the sensational rather than the mundane and often have no qualms about sacrificing accuracy and honesty for the sake of a good story? Perhaps the wisest initial response is one of healthy scepticism, followed by an attempt to discover more about the details of the studies behind the reports. But most people are not, and have little desire to become experts in health research. By reading this book, however, these non-experts can, with minimal effort, learn enough about the scientific method to differentiate between those health claims, warnings and lifestyle recommendations that have some merit and those that are unproven or simply dishonest. So if you want to know if ginseng can really help with your erectile dysfunction, if breast cancer screening is all that politicians claim it to be, if ECT for depression is really a horror treatment and should be banned, if using a mobile phone can lead to brain tumours and how to properly evaluate the evidence from health and lifestyle related studies, then this is the book for you.



Truth Lies Statistics


Truth Lies Statistics
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Author : Lee Baker
language : en
Publisher: Lee Baker
Release Date : 2018-02-13

Truth Lies Statistics written by Lee Baker and has been published by Lee Baker this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-13 with Education categories.


Pirates, cats, Mexican lemons and North Carolina lawyers. Cheese consumption, margarine and drowning by falling out of fishing boats. This book has got it all. A roller coaster of a book in 8 witty chapters, this might just be the most entertaining statistics book you’ll read this year. Did you know that pirates caused global warming, and that a statistical lie gave rise to one of the fastest growing religions on the planet? Probably not – you might have missed the memo that day. Did you also know that organic food is the real cause of autism, and that Mexican lemons are a major cause of deaths on American roads? They’re true, honest – and this book has got the stats to prove it. In this eye-opening book, award winning statistician and author Lee Baker uncovers the key tricks of the trade used by politicians, corporations and other statistical conmen to deceive, hoodwink and otherwise dupe the unwary. Like how the ex-Chancellor of the Exchequer attempted to persuade us that 5 lots of 10 make 150, or how the President of the United States tried to convince us that 420,000 is a larger number than 782,000. Nice try boys, but we were awake that day! In his trademark sardonic style, the author reveals the secrets of how the statistical hustlers manipulate and misrepresent data for political or commercial gain – and often get away with it. Written as a layman’s guide to lying, cheating and deceiving with data and statistics, there’s not a dull page in sight! Discover the exciting world of statistical cheating and persuasive misdirection. Get this book, TODAY!