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.

    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.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    "Using Econometrics: A Practical Guide "provides readers with a practical introduction that combines single-equation linear regression analysis with real-world examples and exercises. This text also avoids complex matrix algebra and calculus, making it an ideal text for beginners. New problem sets and added support make "Using Econometrics" modern and easier to use.

    The authors take time to explain statistical procedures so that you can go beyond memorizing formulas and gain a conceptual understanding of statistics. The authors also take care to show you how having an understanding of statistical procedures will help you comprehend published findings and will lead you to become a savvy consumer of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support your learning.

    Enriched with maps, photos, and the most up-to-date world data, this text boasts the collective expertise of four authors with firsthand international business experience, specializing in international management, finance, law, global strategy, and marketing - a claim no other text can make. In addition, each new copy of International Business, 12e includes access to CESIM - an interactive IB simulation developed for industry professionals. Ball, et. al. is the only textbook on the market which features access to CESIM. Only Ball, Geringer, Minor and McNett can offer a complete view of International Business as diverse as the backgrounds of business students.

    The newest member of the author team, Margie Peteraf, led a thorough re-examination of every paragraph on every page of the 17th edition chapters. The overriding objectives were to inject new perspectives and the best academic thinking, strengthen linkages to the latest research findings, modify the coverage and exposition as needed to ensure squarely on-target content, and give every chapter a major facelift. While this 18th edition retains the same 12-chapter structure of the prior edition, every chapter has been totally refreshed. And the chapter content continues to be solidly mainstream and balanced, mirroring both the best academic thinking and the pragmatism of real-world strategic management. Known for its cases and teaching notes, this edition provides an "unparalleled case line up" of 28 cases. (1) 25 of the 28 cases are brand new or extensively updated for this edition, (2) The selection of cases is diverse, timely, and thoughtfully-crafted and complements the text presentation pushing students to apply the concepts and analytical tools they have read about. (3) Many cases involve high-profile companies. (4) And there's a comprehensive package of support materials that are a breeze to use, highly effective, and flexible enough to fit most any course design. Thompson 18e, your best case scenario!

    For introductory courses in computer concepts or computer literacy often including instruction in Microsoft Office.A Computer Concepts Text Focused on Today’s Student!Technology in Action engages students by combining a unique teaching approach with rich companion media.

    This acclaimed, number one market-leading book embraces the basic theme of "different costs for different purposes." It reaches beyond cost accounting procedures to consider concepts, analyses, and management. This latest edition of "Cost Accounting "incorporates the latest research and most up-to-date thinking into all relevant chapters. Professional issues related to Management Accounting and Management Accountants are emphasized. Chapter topics cover the accountant's role in the organization to performance measurement, compensation, and multinational considerations. For future accountants who want to enhance their understanding of-and ability to-solve cost accounting problems.

    This edition will cover the essential concepts of management that students will find interesting and straightforward.

    Stevenson's careful explanations and approachable format supports students in understanding the important operations management concepts as well as applying tools and methods. By providing detailed examples, solved problems, questions, and cases students learn by doing, and the Tenth Edition continues to offer more support for 'doing Operations' than any other.

    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.

    Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra.

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results