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📒How To Lie With Statistics ✍ Darrell Huff
📝How to Lie with Statistics Book Synopsis : 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.
📒How To Lie With Charts ✍ Gerald Everett Jones
📝How to Lie with Charts Book Synopsis : If you're using a computer to generate charts for meetings and reports, you don't have to be taught how to lie - you're already doing it. You probably don't know your charts are unreliable, and neither does your audience. So you're getting away with it - until a manager or a sales prospect or an investor makes a bad decision based on the information that you were so helpful to provide. The main focus of How to Lie with Charts is on the principles of persuasive-and undistorted-visual communication. It's about careful thinking and clear expression. So don't blame the computers. People are running the show.About the AuthorGerald Everett Jones has written more than 25 books on computer and business topics, including Murphy's Laws of Excel (Sybex), Freelance Graphics for Windows: The Art of Presentation (Prima), Real World Digital Video (Peachpit Press), and 24P: Make Your Digital Movies Look Like Hollywood (Thomson). His professional career spans all phases of digital media production and distribution, including book packaging, Web development, and film-look video.
📒Standard Deviations ✍ Gary Smith
📝Standard Deviations Book Synopsis : Did you know that having a messy room will make you racist? Or that human beings possess the ability to postpone death until after important ceremonial occasions? Or that people live three to five years longer if they have positive initials, like ACE? All of these ‘facts’ have been argued with a straight face by researchers and backed up with reams of data and convincing statistics. As Nobel Prize-winning economist Ronald Coase once cynically observed, ‘If you torture data long enough, it will confess.’ Lying with statistics is a time-honoured con. In Standard Deviations, economics professor Gary Smith walks us through the various tricks and traps that people use to back up their own crackpot theories. Sometimes, the unscrupulous deliberately try to mislead us. Other times, the well-intentioned are blissfully unaware of the mischief they are committing. Today, data is so plentiful that researchers spend precious little time distinguishing between good, meaningful deductions and total rubbish. Not only do others use data to fool us, we fool ourselves. Drawing on breakthrough research in behavioural economics by luminaries like Daniel Kahneman and Dan Ariely, and taking to task some of the conclusions of Freakonomics, Standard Deviations demystifies the science behind statistics and brings into stark relief the fraud that surrounds us all.
📒Probability Statistics And Queueing Theory ✍ Arnold O. Allen
📝Probability Statistics and Queueing Theory Book Synopsis : This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.
📒Teaching Statistics ✍ Andrew Gelman
📝Teaching Statistics Book Synopsis : Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, 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, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.
📒Vital Statistics E Book ✍ Stephen McKenzie
📝Vital statistics E Book Book Synopsis : 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.
📒Communication Research Statistics ✍ John C. Reinard
📝Communication Research Statistics Book Synopsis : Written in an accessible style using simple and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research in communication and the social sciences. This book is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel.
📒Say It With Data ✍ Priscille Dando
📝Say It with Data Book Synopsis : Administrators, policymakers, legislators, and the public demand concrete, measurable evidence of the need for libraries and their use. The collection and dissemination of data about library service in a straightforward, convincing manner are integral components of library advocacy in the current economic climate. Addressing frontline librarians lobbying for increased programming or staff, as well as administrators marshalling statistics to stem the tide of budget cuts and prevent library closure, this vital new book explores the whys and hows of using data to build a better picture of library needs and success. With a distinctive combination of research-based information and practical application, Dando Demonstrates how data from surveys, focus groups, ALA, and state and local sources can be aggregated and used to craft a strong message Takes readers step by step through the process of using data to tailor a message to specific audiences Offers real-world examples from school and public libraries that can be used as models Addressing the requirements of a variety of stakeholders, this concise resource lays out an easy-to-follow, systematic way of inspiring action through clear, compelling data.
📒Narrative Research In Ministry ✍ Carl E. Savage
📝Narrative Research in Ministry Book Synopsis : We are in a real sense, our stories. Who we are, what we think, and how we act are all shaped by the many large and small stories that make up the discourse embedded in our multi-sensory social experience. It is this postmodern understanding of identity and reality that has prompted the authors to fashion a new way of thinking about doing research in faith communities today, particularly through a Doctor of Ministry program. It is our belief that, in order for faith communities to define themselves and to know what to do in ministry, they must first understand the multiple stories which intersect with a given ministry situation in their specific context.
📒Statistics Done Wrong ✍ Alex Reinhart
📝Statistics Done Wrong Book Synopsis : Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.