Beyond Basic Statistics

<p><b>Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions</b></p> <p>Written in an engaging and inviting manner, <i>Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know </i>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.</p> <p>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.</p> <p><i>Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know</i> also features:</p> <ul> <li>Plentiful examples throughout aimed to strengthen readers’ understanding of the statistical concepts and methods</li> <li>A step-by-step approach to elementary statistical topics such as sampling, hypothesis tests, outlier detection, normality tests, robust statistics, and multiple regression</li> <li>A case study in each chapter that illustrates the use of the presented techniques</li> <li>Highlights of well-known shortcomings that can lead to false conclusions</li> <li>An introduction to advanced techniques such as validation and bootstrapping</li> </ul> <p>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.</p>