This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    That's what Ben Lindbergh and Sam Miller got to do when the Sonoma Stompers, an independent minor-league team in California, offered them the chance to run the team's baseball operations according to the most advanced statistics. The Only Rule Is It Has to Work is unlike any other baseball tale you've ever read.We tag along as Lindbergh and Miller apply their number-crunching insights to all aspects of assembling and running a team. We meet colorful figures like general manager Theo Fightmaster and boundary-breakers like the first openly gay professional player and the first Japanese manager in American professional baseball. Even José Canseco makes a cameo appearance.Will sabermetrics bring the Stompers a championship, or will they fall on their face? Will the team have a competitive advantage or is the old folk wisdom really true after all? Will the players be able to maximize their talents and attract the attention of big-league scouts, or will this be a fast track to oblivion?It's a wild ride, as the authors' infectious enthusiasm and feel for the absurd make the Stompers' story one that will speak to numbers geeks and traditionalists alike. And it proves that you don't need a bat or a glove to make a genuine contribution to the game.

    Chanakya who was born around 3rd BC in Bharat (now Hindustan), astute, shrewd and ruthless political master. Equally selfless and patriotic teacher who politically united the small states post invasion of Greeks and reclaimed the boundaries of Bharat stretching from Puruvarsha (Persia, now Iran), Gansthan (now Afghanistan) to far east of Magadh (Bihar state). We know Chanakya for his Niti-shashtras, for his voluminous work on economy, maxims of wisdom and intelligence. But we do not know much about minute details with which he governed the country at that time. We do not know, during his time of around 3rd BCE, at how much advance stage the economy, public life, administration, industries, defence mechanisms, taxations, public-private partnerships, foreign policy, judicial systems, banking and accounting systems ….. were there in India. It seems, they all were in more than perfect stage compared to present scenario factoring advancement in science and technology etc. We will look at each of them one by one. In this book, “Chanakya Niti on Corruption”, we will take a look at corruption. What Chanakya thinks about sources of corruption, ways of finding about corruption, judgements and punishments of corruptions etc. Chanakya knows very well that just like it is impossible to know when and how much water a fish drinks, it is utmost difficult to know how much money government officials steal away while in charge of it. Knowing human nature which succumbs to greed, fear, lust, anger or any such tamas gunas, and indulges in acts of corruption to accumulate wealth in the country or outside. Chanakya keeps eye on conduct and life style of not only ministers, but all levels of the government officials too. Chanakya takes multi pronged approach to tackle and eradicate corruption. He knows that by establishing one department to tackle corruption problems are not going to be solved, instead will increase many fold later when that department itself becomes corrupt eventually. He relies on spying, continuous intelligence gathering, harsh punishments leading to deaths, rewards who bring to notice acts of corruptions by officials etc, promotions and rewards to who do their job righteously. Not only that, 3rd century BC, do you imagine there were clear cut rules and guidelines how to write account books, !. At that time, he knew that what impact it creates on overall economy and nation building, if sanctioned amount for projects are not utilised actually? Chanakya knows corruption is contiguous, and he tackles such problems too with well laid out and practical laws to follow at that time. Looking at the crux of the guidelines what Chanakya outlines, it seems that essence of those laws are applicable still today with more verbatim or expansion of words to suite and cover present scenarios. But, the essence remains same. He knew that in corruption free country, trade and business, entrepreneurship and industries flourishes and so overall wealth, health and security of the nation. I hope reading this book "Chanakya Niti on Corruption", will open up a window to explore further on how an Indian political guru administered this nation 3rd century BCE.

    In this linear construct, you go to work for a week and at week’s end you are compensated for that work. The next week you do more work and are compensated for that work, and so on. This is a common agreement between employers and employees in many countries, including the United States. The purpose of this book is to challenge that construct. It is the author's intent to suggest a more profitable arrangement for the creator of the product — the worker. The notion is that one could work on a project for a certain amount of time but the product of that project could pay dividends for a longer term. One might work for a week and be paid for the product of that work every week for many years. Imagine how this construct would compound income week after week, project after project. At some point, with numerous streams of income from a growing number of completed projects, one would be able to discontinue taking on new projects if he or she desired, living off the residuals of the projects he or she created to that point. Indeed, one could take a vacation, still earning income from work he or she completed long ago. With the help of Dr. Frederick Von Greensburg, Thaddeus Cooper breaks down the concept of passive income and outlines a strategy for creating streams of this revenue to supplement or replace traditional income. A self-help book for the masses and a manifesto for the most creative among us, Don't Give Your Work Away For Free: A free ebook by Thaddeus Cooper is a MUST READ!

    Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales.The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces.

    Years later, Ma has inspired not only a bestselling novel and hit movie, but has also started three different companies—the latest of which, Citizen Sports, is an innovative marriage of sports, betting, and digital technology—and launched a successful corporate speaking career. The House Advantage reveals Ma's cutting-edge mathematical insights into the world of statistics and makes them applicable to a wide business audience. He argues that numbers are the key to analyzing nearly everything in the world of business, from how to spot and profit from global market inefficiencies to having multiple backup plans in anticipation of every probability. Ma's stories and business lessons are as intriguing as they are universally applicable.

    Minimalist Budget will help you to turn your bloated expenses into a well-toned budget, spending on exactly what you need and nothing else. This book presents solutions for two major problems in our consumer society: (1) how to downsize your cravings without having to sacrifice the fun stuff, and (2) how to whip your finances into shape and follow a personalized budget. This is not a get rich quick book. But I can promise day-by-day, month-by-month, you’ll budget better and become richer as a consequence. Regardless of how much your income is we’ll find a way to budget, save, and increase your net worth. Since my youth, I’ve had to live on a budget that ranged from $100 to $200 a month if I was lucky. Even though I never knew how much I would have the next month, I was always able to have enough for my essential expenses, personal pleasures, and savings. If you’re tired of the false and impossible-to-follow promises of “finance gurus,” try out my simple, straightforward, easy-to-stick-to methods. Improve your spending habits: • Incorporate minimalism into your finances • How to avoid becoming a minimalist consumerist • Learn the psychological traps that make you overspend • Control your compulsive spending habits Feel financially secure every day: • Learn about two A-Z budgeting methods and how to make them work for you • Learn ratio-based budgeting and fixed-amount budgeting • Discover the best budgeting software programs • Design a bulletproof savings strategy to get out of debt, be prepared for emergencies, and set yourself up for retirement Stop hating your financial life: • Learn how to set SMART financial goals • Increase your self-confidence with budgeting • 50 small budgeting tips Financial education is not part of our educational system. It is normal that we don’t know how to budget when we step into the craziness we call adulthood. But it is not normal to stay ignorant about a field of life that (like it or not) guarantees our material survival. Money management is an essential skill for everybody who earns, shops or consumes. If you follow the budgeting tips in this book, you’ll be able to keep track of your finances. You’ll clearly know where your money goes, where it comes from and where can you save. You won’t feel stressed of running out of money unexpectedly, you’ll clear yourself out of debts and have savings for bigger expenses like a vacation, new car or unexpected events. Leave money struggles for yesterday. Grab a copy of Minimalist Budget by hitting buy now in the top right corner of this page.

    This updated edition of Ross's classic bestseller provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions; a new section on hiddden Markov chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states; and a simplified approach for analyzing nonhomogeneous Poisson processes. There are also additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. Furthermore, the book includes new examples and exercises, along with compulsory material for new Exam 3 of the Society of Actuaries.This book is essential reading for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

    When this investors’ darling was exposed as a house of cards, tales of fraudulent accounting, a lavish lifestyle involving multimillion-rand racehorses and ructions in the ‘Stellenbosch mafia’ made headlines around the world. As regulators tally up the cost, 'Financial Mail' editor Rob Rose reveals the real inside story behind Steinhoff. Based on dozens of interviews with key players in South Africa, the UK, Germany and the Netherlands – and documents not yet public – Steinheist reveals: how Bruno Steinhoff formed the company by doing business in the Communist bloc and apartheid South Africa; how the ‘Markus myth’ started in the dusty streets of Ga-Rankuwa and grew thanks to a ‘bit of luck’ in a 1998 takeover; how Jooste insiders shifted nasty liabilities off Steinhoff’s balance sheet to secretive companies overseas in order to present a false picture of the profits; how Wiese was lucky to lose only R59bn and how Shoprite narrowly escaped getting caught in Steinhoff’s web; and what happened behind closed boardroom doors in the frantic week before Jooste resigned.

    Rocketed to popularity by the 2003 bestseller Moneyball and the film of the same name, the use of sabermetrics to analyze player performance has appeared to be a David to the Goliath of systemically advantaged richer teams that could be toppled only by creative statistical analysis. The story has been so compelling that, over the past decade, team after team has integrated statistical analysis into its front office. But how accurately can crunching numbers quantify a player's ability? Do sabermetrics truly level the playing field for financially disadvantaged teams? How much of the baseball analytic trend is fad and how much fact?The Sabermetric Revolution sets the record straight on the role of analytics in baseball. Former Mets sabermetrician Benjamin Baumer and leading sports economist Andrew Zimbalist correct common misinterpretations and develop new methods to assess the effectiveness of sabermetrics on team performance. Tracing the growth of front office dependence on sabermetrics and the breadth of its use today, they explore how Major League Baseball and the field of sports analytics have changed since the 2002 season. Their conclusion is optimistic, but the authors also caution that sabermetric insights will be more difficult to come by in the future. The Sabermetric Revolution offers more than a fascinating case study of the use of statistics by general managers and front office executives: for fans and fantasy leagues, this book will provide an accessible primer on the real math behind moneyball as well as new insight into the changing business of baseball.

    

    As the recent collapse on Wall Street shows, we are often ill-equipped to deal with uncertainty and risk. Yet every day we base our personal and business plans on uncertainties, whether they be next month's sales, next year's costs, or tomorrow's stock price. In The Flaw of Averages, Sam Savage-known for his creative exposition of difficult subjects- describes common avoidable mistakes in assessing risk in the face of uncertainty. Along the way, he shows why plans based on average assumptions are wrong, on average, in areas as diverse as healthcare, accounting, the War on Terror, and climate change. In his chapter on Sex and the Central Limit Theorem, he bravely grasps the literary third rail of gender differences.Instead of statistical jargon, Savage presents complex concepts in plain English. In addition, a tightly integrated web site contains numerous animations and simulations to further connect the seat of the reader's intellect to the seat of their pants.The Flaw of Averages typically results when someone plugs a single number into a spreadsheet to represent an uncertain future quantity. Savage finishes the book with a discussion of the emerging field of Probability Management, which cures this problem though a new technology that can pack thousands of numbers into a single spreadsheet cell.Praise for The Flaw of Averages"Statistical uncertainties are pervasive in decisions we make every day in business, government, and our personal lives. Sam Savage's lively and engaging book gives any interested reader the insight and the tools to deal effectively with those uncertainties. I highly recommend The Flaw of Averages." --William J. Perry, Former U.S. Secretary of Defense"Enterprise analysis under uncertainty has long been an academic ideal. . . . In this profound and entertaining book, Professor Savage shows how to make all this practical, practicable, and comprehensible." ---Harry Markowitz, Nobel Laureate in Economics

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Authors Lora Delwiche and Susan Slaughter have revised the text to include concepts of the Output Delivery System; the STYLE= option in the PRINT, REPORT, and TABULATE procedures; ODS HTML, RTF, PRINTER, and OUTPUT destinations; PROC REPORT; more on PROC TABULATE; exporting data; and the colon modifier for informats. You'll find clear and concise explanations of basic SAS concepts (such as DATA and PROC steps), inputting data, modifying and combining data sets, summarizing and presenting data, basic statistical procedures, and debugging SAS programs. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see it work!

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.