HOW-TO-LIE-WITH-STATISTICS-PDF

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How To Lie With Statistics

Author : Darrell Huff
ISBN : 0393070875
Genre : Mathematics
File Size : 38.50 MB
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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.
Category: Mathematics

Southern Cultures

Author : Harry L. Watson
ISBN : 9781469609058
Genre : History
File Size : 90.14 MB
Format : PDF, Kindle
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In the Summer 2013 issue of Southern Cultures: Dixie Bohemians and Inner Hillbillies. Poutin’ Houses and Moon Pies. The economics of slavery and the integrity of farming. The Wilmington Insurrection and Wednesday morning miracles. The Summer Issue promises more of what Southern Cultures does best: southern lives, real and imagined, re-imagined. Southern Cultures is published quarterly (spring, summer, fall, winter) by the University of North Carolina Press. The journal is sponsored by the University of North Carolina at Chapel Hill’s Center for the Study of the American South.
Category: History

Vital Statistics E Book

Author : Stephen McKenzie
ISBN : 9780729581493
Genre : Medical
File Size : 31.26 MB
Format : PDF
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Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Category: Medical

The Seven Beauties Of Science Fiction

Author : Istvan Csicsery-Ronay, Jr.
ISBN : 9780819571526
Genre : Fiction
File Size : 24.82 MB
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As the world undergoes daily transformations through the application of technoscience to every aspect of life, science fiction has become an essential mode of imagining the horizons of possibility. However much science fiction texts vary in artistic quality and intellectual sophistication, they share in a mass social energy and a desire to imagine a collective future for the human species and the world. At this moment, a strikingly high proportion of films, commercial art, popular music, video and computer games, and non-genre fiction have become what Csicsery-Ronay calls science fictional, stimulating science-fictional habits of mind. We no longer treat science fiction as merely a genre-engine producing formulaic effects, but as a mode of awareness, which frames experiences as if they were aspects of science fiction. The Seven Beauties of Science Fiction describes science fiction as a constellation of seven diverse cognitive attractions that are particularly formative of science-fictionality. These are the “seven beauties” of the title: fictive neology, fictive novums, future history, imaginary science, the science-fictional sublime, the science-fictional grotesque, and the Technologiade, or the epic of technsocience’s development into a global regime.
Category: Fiction

Vital Statistics

Author : William H. Sandholm
ISBN : 0190668083
Genre : Commercial statistics
File Size : 65.50 MB
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Category: Commercial statistics

Stochastic Models Information Theory And Lie Groups Volume 2

Author : Gregory S. Chirikjian
ISBN : 9780817649449
Genre : Mathematics
File Size : 32.47 MB
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This unique two-volume set presents the subjects of stochastic processes, information theory, and Lie groups in a unified setting, thereby building bridges between fields that are rarely studied by the same people. Unlike the many excellent formal treatments available for each of these subjects individually, the emphasis in both of these volumes is on the use of stochastic, geometric, and group-theoretic concepts in the modeling of physical phenomena. Stochastic Models, Information Theory, and Lie Groups will be of interest to advanced undergraduate and graduate students, researchers, and practitioners working in applied mathematics, the physical sciences, and engineering. Extensive exercises, motivating examples, and real-world applications make the work suitable as a textbook for use in courses that emphasize applied stochastic processes or differential geometry.
Category: Mathematics

Reliability Data Banks

Author : A. G. Cannon
ISBN : 9789401138581
Genre : Juvenile Nonfiction
File Size : 40.54 MB
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Category: Juvenile Nonfiction

Contemporary Occupational Health Nursing

Author : Greta Thornbory
ISBN : 9781351787918
Genre : Medical
File Size : 58.45 MB
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This textbook – now thoroughly revised and updated – provides a practical guide for those in training, or practising within, occupational health nursing. Concerned with the health of people at work and the effects of work on health and health on work, this distinctive branch of public health nursing requires specific knowledge and skills. Contemporary Occupational Health Nursing includes chapters on: public health, leadership, health promotion and protection, health surveillance, health assessment, case management and rehabilitation, mental health, management of occupational health services and epidemiology and research, quality assurance and audit. The second edition includes additional content on health risk assessment and the Fit for Work Service, occupational health management systems, psychosocial factors and mindfulness, among other things. Discussion of ethical issues is woven throughout and each chapter is written by an experienced occupational health nurse practitioner and includes features such as case studies, activities, learning objectives and chapter summaries. This book can be used as a text by those undertaking specialist community public health nursing qualifications and as an important resource for all nurses working in occupational health practice.
Category: Medical

Predictive Analytics

Author : Eric Siegel
ISBN : 9781118416853
Genre : Business & Economics
File Size : 33.9 MB
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“Mesmerizing & fascinating...” —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated — and Hillary for America 2016 plans to calculate — the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
Category: Business & Economics