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For most people, algebra is what makes statistics the devil's work- putting fear and loathing into what otherwise would be an exciting, profitable way to use data to make wise decisions. But all you need is The Statistical Exorcist, plus just enough arithmetic to add, subtract, multiply and divide. This book provides you with a clear, easily understandable and down-to-earth approaches to making decisions, sampling, learning with data and estimating probabilities; presented through the perspective of 26 vignettes written in everyday language.
This book presents an academic analysis of exorcism in Christianity. It not only explores the crisis and drama of a single individual in a fight against demonic possession but also looks at the broader implications for the society in which the possessed lives. In recognition of this, coverage includes case studies from various geographical areas in Europe, North and South America, and Oceania. The contributors explore the growing significance of the rite of exorcism, both in its more structured format within traditional Christian religions as well as in the less controlled and structured forms in the rites of deliverance within Neopentecostal movements. They examine theories on the interaction between religion, magic, and science to present new and groundbreaking data on exorcism. The fight against demonic possession underlines the way in which changes within the religious field, such as the rediscovery of typical practices of popular religiosity, challenge the expectations of the theory of secularization. This book argues that if possession is a threat to the individual and to the equilibrium of the social order, the ritual of exorcism is able to re-establish a balance and an order through the power of the exorcist. This does not happen in a social vacuum but in a consumer culture where religious groups market themselves against other faiths. This book appeals to researchers in the field.
Father Damien Karras: 'Where is Regan?' Regan MacNeil: 'In here. With us.' The terror begins unobtrusively. Noises in the attic. In the child's room, an odd smell, the displacement of furniture, an icy chill. At first, easy explanations are offered. Then frightening changes begin to appear in eleven-year-old Regan. Medical tests fail to shed any light on her symptoms, but it is as if a different personality has invaded her body. Father Damien Karras, a Jesuit priest, is called in. Is it possible that a demonic presence has possessed the child? Exorcism seems to be the only answer... First published in 1971, The Exorcist became a literary phenomenon and inspired one of the most shocking films ever made. This edition, polished and expanded by the author, includes new dialogue, a new character and a chilling new extended scene, provides an unforgettable reading experience that has lost none of its power to shock and continues to thrill and terrify new readers.
Students in the sciences, economics, social sciences, and medicine take an introductory statistics course. And yet statistics can be notoriously difficult for instructors to teach and for students to learn. To help overcome these challenges, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, activities, examples, and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and has chapters such as 'First week of class'-- with exercises to break the ice and get students talking; then descriptive statistics, graphics, linear regression, data collection (sampling and experimentation), probability, inference, and statistical communication. Part II gives tips on what works and what doesn't, how to set up effective demonstrations, how to encourage students to participate in class and to work effectively in group projects. Course plans for introductory statistics, statistics for social scientists, and communication and graphics are provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics, sampling, and data science.
There is growing recognition that statistics should be part of the core curriculum for the compulsory schooling of all children, leading to a now urgent need for teachers to be trained in both statistical content and appropriate teaching methods. This book lays the foundation for teacher's responses to these changes, exploring how best to teach those applied skills which are now seen to be a more relevant part of the content of statistical courses.
This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.
Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.
This is a somewhat extended and modified translation of the third edition of the text, first published in 1969. The Swedish edition has been used for many years at the Royal Institute of Technology in Stockholm, and at the School of Engineering at Link6ping University. It is also used in elementary courses for students of mathematics and science. The book is not intended for students interested only in theory, nor is it suited for those seeking only statistical recipes. Indeed, it is designed to be intermediate between these extremes. I have given much thought to the question of dividing the space, in an appropriate way, between mathematical arguments and practical applications. Mathematical niceties have been left aside entirely, and many results are obtained by analogy. The students I have in mind should have three ingredients in their course: elementary probability theory with applications, statistical theory with applications, and something about the planning of practical investiga tions. When pouring these three ingredients into the soup, I have tried to draw upon my experience as a university teacher and on my earlier years as an industrial statistician. The programme may sound bold, and the reader should not expect too much from this book. Today, probability, statistics and the planning of investigations cover vast areas and, in 356 pages, only the most basic problems can be discussed. If the reader gains a good understanding of probabilistic and statistical reasoning, the main purpose of the book has been fulfilled.
"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 election
This book demonstrates how numbers open up new ways of thinking about problems and addresses current issues for which statistics has practical applications. The articles are classified according to probability, condensing data, testing, estimation, experimental design, prediction, and modelling.