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Beyond Basic Statistics : Tips, Tricks, and Techniques Every Data Analyst Should Know by
Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics--the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of statistical techniques. Without going into the specifics of theorems, propositions, or formulas, the book effectively demonstrates statistics as a useful problem-solving tool. In addition, the author demonstrates how statistics is a tool for thinking critically, wading through large volumes of information, and answering life's important questions. Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know also features: Plentiful examples throughout aimed to strengthen readers' understanding of the statistical concepts and methods A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression A case study in each chapter that illustrates the use of the presented techniques Highlights of well-known shortcomings that can lead to false conclusions An introduction to advanced techniques such as validation and bootstrapping Featuring examples that are engaging and non-application specific, the book appeals to a broad audience of students and professionals alike, specifically students of undergraduate statistics, managers, medical professionals, and anyone who has to make decisions based on raw data or compiled results.
Encyclopedia of Measurement and Statistics by
SAGE Reference is proud to announce the Encyclopedia of Measurements and Statistics. In fields as varying as education, politics and health care, assessment and the use of measurement and statistics have become an integral part of almost every activity undertaken. These activities require the organization of ideas, the generation of hypotheses, the collection of data and the interpretation, illustration and analysis of data. No matter where we look, this critical analysis is more important than ever in an age where information - and lots of it - is readily available. The average consumer must know what a `median' is or what the connotations of the term `significant' are when intelligently reading The Times, Science News or a tabloid. Likewise, students, practitioners and researchers must grapple with sophisticated terms and techniques when conducting research, writing proposals and analyzing data. The terms themselves have proven to be anxiety-provoking. The Encyclopedia of Measurement and Statistics, in two-volumes, presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in a non-intimidating and accessible style. The Encyclopedia is specifically written to appeal to undergraduate students as well as practitioners, researchers and consumers of information. Whilst there are reference works covering statistics and assessment in depth, none provide as comprehensive a resource in as focused and approachable a manner as this encyclopedia. Key themes include: - biographies; - charts, graphs and visual displays; - computer topics and tools; - concepts and issues in measurement; - concepts and issues in statistics; - data and data reduction techniques; - descriptive statistics; - evaluation; - experimental methods; - inferential statistics; - organizations and publications; - predictions and estimations; - probability; - qualitative methods; - samples, sampling and distribution; - statistical techniques; - statistical tests; - tests by name. Key features include: - coverage of every major facet of these two different, but highly integrated disciplines with reference to mean, mode and median; reliability, validity, significance and correlation without overwhelming the informed reader; - cross-disciplinary coverage, with contributions from and applications to the fields of: psychology; education; sociology; human development; political science; business and management; and public health; - cross-referenced terms, a list of further readings and Website URLs after each entry, as well as an extensive set of appendices and an annotated list of organizations relevant to measurement and statistics. Appendices: - Appendix A is a guide to basic statistics for those readers who require an instructional step-by-step presentation of basic concepts in statistics and measurement; - Appendix B is a table of critical values used in hypothesis testing and an important part of any reference in this area; - Appendix C represents a collection of some most important and useful measurement and statistics Websites.
Statistics Done Wrong: The Woefully Complete Guide by
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.
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A Field Guide to Lies: Critical Thinking in the Information Age by
New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions, and outright lies from reliable information? Levitin groups his field guide into two categories--statistical information and faulty arguments--ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning--not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some lying weasels in their tracks!
Find It Fast: Extracting Expert Information from Social Networks, Big Data, Tweets, and Mor by
Go beyond Google to mine big data and social media Author Robert Berkman gives expert advice on how to search the internet to locate the best information sources, how to find and utilize the professionals behind those sources, and how to combine these techniques to complete an information search on any subject. This fully updated 6th edition includes how to search beyond Google, leveraging big data in the search process, and how to search the social web. Readers will also find expert advice on how to know if a site is a trusted source; understanding how and why sources differ; using precision search strategies and taming information overload; and finding, evaluating, and identifying experts. Whether it's consumer advice, information for a job or project, facts for starting a new business, or answers to questions on obscure topics, Find It Fast is the perfect resource for learning to hone one's internet searching skills.
How Charts Lie: Getting Smarter About Visual Information by
We've all heard that a picture is worth a thousand words, but what if we don't understand what we're looking at? Social media has made charts, infographics, and diagrams ubiquitous--and easier to share than ever. We associate charts with science and reason; the flashy visuals are both appealing and persuasive. Pie charts, maps, bar and line graphs, and scatter plots (to name a few) can better inform us, revealing patterns and trends hidden behind the numbers we encounter in our lives. In short, good charts make us smarter--if we know how to read them. However, they can also lead us astray. Charts lie in a variety of ways--displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty--or are frequently misunderstood, such as the confusing cone of uncertainty maps shown on TV every hurricane season. To make matters worse, many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day, enabling bad actors to easily manipulate them to promote their own agendas. In How Charts Lie, data visualization expert Alberto Cairo teaches us to not only spot the lies in deceptive visuals, but also to take advantage of good ones to understand complex stories. Public conversations are increasingly propelled by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie demystifies an essential new literacy, one that will make us better equipped to navigate our data-driven world.
Naked Statistics: Stripping the Dread From the Data by
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan's trademark style, there's not a dull page in sight. You'll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let's Make a Deal--and you'll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
