This work focuses on the maths skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as arithmetic, algebra, geometry and data sufficiency.

    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 fool rather than to inform.

    Jakes challenges the faithful to be more effective in earning their livelihoods by providing a diverse range of strategies that will turn their work life into an abundant life. While focusing on his core mission to preach the gospel worldwide, T.D. Jakes has seen many good people not spend enough quality time with family, friends, and God. They have gotten so swept up in the daily grind that they have failed to live the rich life that God desires for each of His people. In his new book, Jakes provides readers with strategies that will help them rejuvenate their life and turn their "busyness" into a "business." All readers-not just entrepreneurs-will benefit from Jakes' insightful advice so that they can use the days God has blessed them with wisely and finish each day strong!

    Aimed at accountants or readers of other career paths, this book helps them build their decision making skills and understand how to use accounting information to make quality business decisions.

     During a single historic weekend (September 12-14, 2008) the fate of Lehman Brothers was sealed, Merrill Lynch barely survived, and AIG became a ward of the federal government. Top CNBC anchor Maria Bartiromo spent the entire weekend taking frantic phone calls from the most powerful players on Wall Street and in Washington, as they toiled to keep the economy from complete collapse. Those CEOs and dozens of other sources gave Bartiromo behind-the-scenes details unavailable to other members of the media, of the crisis and its aftermath. Now she draws on her high-level network to provide an eyewitness account of the biggest events of the financial crisis including at length interviews with former treasury secretary Henry Paulson, former AIG chairman Hank Greenberg, former Merrill Lynch CEO John Thain, and JP Morgan CEO Jamie Dimon, among many others. Writing with both authority and dramatic flair, Bartiromo weaves a thrilling narrative that will make news. She also tackles the big questions: how did an unmatched period of market euphoria and growth turn sour, catapulting the economy into a dangerous slide? And in the long run, how will the near-catastrophe really change Wall Street?

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    From sussing out the best deals and financing your investment to organising your taxes and dealing with tenants, it's all here - helping you to make more money with less stress.Among the 100 curated, carefully organised property investment tips in this book, you'll learn: Why you're doing your calculations all wrong How to use leverage to multiply your returns How to delegate The realistic alternatives to buy-to-let Why - and how - to buy below market value How to compete when you're constantly priced out by other buyers Ways to add value How to win at auctions Why you should get over your fear of interest-only mortgages What counts as an "expense" - and how to claim it A ton of nifty property investment tips, tricks and hacks for sourcing, financing and managing your propertyThe tips are organised into the following sections: Get started in property investment Find a deal Finance your investment Deal with tenants and management Focus on your strategy and goals Sort out your tax and accounts Tips, tricks and hacksWhatever your level of experience, you're sure to find some great new ideas to make you a more effective property investor.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    Survey Methodology describes the basic principles of survey design discovered in methodological research over recent years and offers guidance for making successful decisions in the design and execution of high quality surveys. Written by six nationally recognized experts in the field, this book covers the major considerations in designing and conducting a sample survey. Topical, accessible, and succinct, this book represents the state of the science in survey methodology. Employing the "total survey error" paradigm as an organizing framework, it merges the science of surveys with state-of-the-art practices. End-of-chapter terms, references, and exercises enhance its value as a reference for practitioners and as a text for advanced students.

    Shilling explains in clear language and compelling logic why the world economy will struggle for several more years and what investors can do to protect and grow their wealth in the difficult times ahead. The investment strategies that worked for last 25 years will not work in the next 10 years. Shilling advises readers to avoid broad exposure to stocks, real estate, and commodities and to focus on high-quality bonds, high-dividend stocks, and consumer staple and food stocks. Written by one of today's best forecasters of economic trends-twice voted by Institutional Investor as Wall Street's top economist Clearly explains what to invest in, what to avoid, and how to cope with a deflationary, slow-growth economy Demonstrates how Shilling has been consistently right about major economic trends since he began forecasting in the early 1980s Filled with in-depth insights and practical advice, this timely guide lays out a convincing case for why investors need to be prepared for a long period of weak growth and deflation-not inflation-and what you can do to prosper in the difficult times ahead.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    This edition covers updates on the laws, numbers, and planning strategies. Illustrations.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.