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 Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks. These cool tips, tricks, and mind-boggling solutions from the world of statistics, measurement, and research methods will not only amaze and entertain you, but will give you an advantage in several real-world situations-including business. This book is ideal for anyone who likes puzzles, brainteasers, games, gambling, magic tricks, and those who want to apply math and science to everyday circumstances. Several hacks in the first chapter alone-such as the "central limit theorem,", which allows you to know everything by knowing just a little-serve as sound approaches for marketing and other business objectives. Using the tools of inferential statistics, you can understand the way probability works, discover relationships, predict events with uncanny accuracy, and even make a little money with a well-placed wager here and there. Statistics Hacks presents useful techniques from statistics, educational and psychological measurement, and experimental research to help you solve a variety of problems in business, games, and life. You'll learn how to: Play smart when you play Texas Hold 'Em, blackjack, roulette, dice games, or even the lottery Design your own winnable bar bets to make money and amaze your friends Predict the outcomes of baseball games, know when to "go for two" in football, and anticipate the winners of other sporting events with surprising accuracy Demystify amazing coincidences and distinguish the truly random from the only seemingly random--even keep your iPod's "random" shuffle honest Spot fraudulent data, detect plagiarism, and break codes How to isolate the effects of observation on the thing observed Whether you're a statistics enthusiast who does calculations in your sleep or a civilian who is entertained by clever solutions to interesting problems, Statistics Hacks has tools to give you an edge over the world's slim odds.

 Over the past few decades, a multitude of advanced hitting, pitching, fielding and base running measures have been introduced to the baseball world. This comprehensive sabermetrics primer will introduce you to these new statistics with easy to understand explanations and examples. It will illustrate the evolution of statistics from simple traditional measures to the more complex metrics of today. You will learn how all the statistics are connected to winning and losing games, how to interpret them, and how to apply them to performance on the field. By the end of this book, you will be able to evaluate players and teams through statistics more thoroughly and accurately than you could before.

 Left Brain, Right Stuff takes up where other books about decision making leave off. For many routine choices, from shopping to investing, we can make good decisions simply by avoiding common errors, such as searching only for confirming information or avoiding the hindsight bias. But as Phil Rosenzweig shows, for many of the most important, more complex situations we face—in business, sports, politics, and more—a different way of thinking is required. Leaders must possess the ability to shape opinions, inspire followers, manage risk, and outmaneuver and outperform rivals. Making winning decisions calls for a combination of skills: clear analysis and calculation—left brain—as well as the willingness to push boundaries and take bold action—right stuff. Of course leaders need to understand the dynamics of competition, to anticipate rival moves, to draw on the power of statistical analysis, and to be aware of common decision errors—all features of left brain thinking. But to achieve the unprecedented in real-world situations, much more is needed. Leaders also need the right stuff. In business, they have to devise plans and inspire followers for successful execution; in politics, they must mobilize popular support for a chosen program; in the military, commanders need to commit to a battle strategy and lead their troops; and in start-ups, entrepreneurs must manage risk when success is uncertain. In every case, success calls for action as well as analysis, and for courage as well as calculation. Always entertaining, often surprising, and immensely practical, Left Brain, Right Stuff draws on a wealth of examples in order to propose a new paradigm for decision making in synch with the way we have to operate in the real world. Rosenzweig’s smart and perceptive analysis of research provides fresh, and often surprising, insights on topics such as confidence and overconfidence, the uses and limits of decision models, the illusion of control, expert performance and deliberate practice, competitive bidding and new venture management, and the true nature of leadership.

 Visualizing Baseball provides a visual exploration of the game of baseball. Graphical displays are used to show how measures of performance, at the team level and the individual level, have changed over the history of baseball. Graphs of career trajectories are helpful for understanding the rise and fall of individual performances of hitters and pitchers over time. One can measure the contribution of plays by the notion of runs expectancy. Graphs of runs expectancy are useful for understanding the importance of the game situation defined by the runners on base and number of outs. Also the runs measure can be used to quantify hitter and pitch counts and the win probabilities can be used to define the exciting plays during a baseball game. Special graphs are used to describe pitch data from the PitchFX system and batted ball data from the Statcast system. One can explore patterns of streaky performance and clutch play by the use of graphs, and special plots are used to predict final season batting averages based on data from the middle of the season. This book was written for several types of readers. Many baseball fans should be interested in the topics of the chapters, especially those who are interested in learning more about the quantitative side of baseball. Many statistical ideas are illustrated and so the graphs and accompanying insights can help in promoting statistical literacy at many levels. From a practitioner’s perspective, the chapters offer many illustrations of the use of a modern graphics system and R scripts are available on an accompanying website to reproduce and potentially improve the graphs in this book.

 If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R’s graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R

 A clear and concise introduction and reference for anyone new to the subject of statistics.

 Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

 The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance—and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove–winning shortstop. Instructors considering this book for use in a course may request an examination copy here.

 Play smart. Play to win. Play like a champion.

 The St. Louis Cardinals have experienced the kind of success that is rare in baseball. Regarded by many as the premier organization in Major League Baseball, they not only win, but do so with an apparently bottomless pool of talent, one that is mostly homegrown. Despite years of phenomenal achievements, including going to the World Series in 2004 and again in 2006, the Cardinals reinvented themselves using the "Cardinal Way," a term that has come to represent many things to fans, media, and other organizations, from an ironclad code of conduct to the team's cutting-edge use of statistic and analytics, and a farm system that has transformed baseball. Baseball journalist Howard Megdal takes fans behind the scenes and off the field, interviewing dozens of key players within the Cardinals organization, including owner Bill DeWitt and the general manager John Mozeliak. Megdal reveals how the players are assessed and groomed using an unrivaled player development system that has created a franchise that is the envy of the baseball world. In the spirit of Moneyball, The Cardinals Way tells an in-depth, fascinating story about a consistently good franchise, the business of sports in the twenty-first century and a team that has learned how to level the playing field, turning in season after successful season.

 What happens when three financial industry whiz kids and certified baseball nuts take over an ailing major league franchise and implement the same strategies that fueled their success on Wall Street? In the case of the 2008 Tampa Bay Rays, an American League championship happens—the culmination of one of the greatest turnarounds in baseball history. In The Extra 2%, financial journalist and sportswriter Jonah Keri chronicles the remarkable story of one team’s Cinderella journey from divisional doormat to World Series contender. When former Goldman Sachs colleagues Stuart Sternberg and Matthew Silverman assumed control of the Tampa Bay Devil Rays in 2005, it looked as if they were buying the baseball equivalent of a penny stock. But the incoming regime came armed with a master plan: to leverage their skill at trading, valuation, and management to build a model twenty-first-century franchise that could compete with their bigger, stronger, richer rivals—and prevail. Together with “boy genius” general manager Andrew Friedman, the new Rays owners jettisoned the old ways of doing things, substituting their own innovative ideas about employee development, marketing and public relations, and personnel management. They exorcized the “devil” from the team’s nickname, developed metrics that let them take advantage of undervalued aspects of the game, like defense, and hired a forward-thinking field manager as dedicated to unconventional strategy as they were. By quantifying the game’s intangibles—that extra 2% that separates a winning organization from a losing one—they were able to deliver to Tampa Bay something that Billy Beane’s “Moneyball” had never brought to Oakland: an American League pennant. A book about what happens when you apply your business skills to your life’s passion, The Extra 2% is an informative and entertaining case study for any organization that wants to go from worst to first. From the Hardcover edition.

 "This delightfully written, lesson-laden book deserves a place of its own in the Baseball Hall of Fame." —Forbes Moneyball is a quest for the secret of success in baseball. In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis follows the low-budget Oakland A's, visionary general manager Billy Beane, and the strange brotherhood of amateur baseball theorists. They are all in search of new baseball knowledge—insights that will give the little guy who is willing to discard old wisdom the edge over big money.