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.

    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

    For the introductory Finance course, given during the junior year and required at all undergraduate business schools.Keown enables students to see the big picture by letting them understand the logic that drives finance rather than having them memorize formulas.

    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

    The book begins with an introduction to the language of statistics and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers:- Difficulty Rating Index for each chapter′s material- Tips for doing and thinking about a statistical technique- Top tens for everything from the best ways to create a graph to the most effective techniques for data collection- Steps that break techniques down into a clear sequence of procedures- SPSS tips for executing each major statistical technique- Practice exercises at the end of each chapter, followed by worked out solutions.The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.

    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.

    This text's applied approach addresses how and why a business operates. Students can then build upon their practical skills through examples, exercises and projects to help them gain a full understanding of how and why to develop a business plan. Each text is packaged with a Business Plan Booklet and CD-ROM, which are tied to end-of-part features, allowing students hands-on practice in creating a sound business plan. Through lively examples this text emphasizes key core skill areas including, Decision-Making and Planning, Teamwork, Technology, and Communication.

    In this comprehensive anthology, authors selected for their distinction in their chosen careers offer their professional - and personal - perspectives on 19 different graduate-level careers in psychology. Few fields of study offer more career opportunities than does psychology, and readers will find thoughtful discussions, leavened with tips and insights gained from personal experience, on the full range, including (to name only a few) academia, clinical psychology, health and school psychology, clinical neuropsychology, and government service. Each chapter discusses the nature of the career, its advantages and disadvantages, how to prepare for it, typical activities, ranges of financial compensation, opportunities for employment, and the personal attributes needed for success in the career. realities, challenges, and rewards of each career that the lab or lecture hall rarely provides. Reprinted eight times since the publication of the first edition in 1997, Career Paths in Psychology is recognized as the go-to sourcebook for anyone seeking a candid portrait of different careers in this ever-changing field. The second edition has been expanded (discussions of five new careers added) and updated to reflect current trends and changes in the field.

    The See and Say pronunciation system makes pronouncing unfamiliar terms easy. Because word parts are integral to learning medical terminology, mastery of these "building blocks" is emphasized in every chapter. Organized by body system, chapters begin with an overview of the structures and functions of that system so you can relate these to the specialists, pathology, diagnostic, and treatment procedures that follow. Learning Exercises in each chapter offer a variety of formats that require written answers. Writing terms reinforces learning and provides practice to help master spelling and enhance comprehension.

    eGrade Plus offers an integrated suite of teaching and learning resources, including an online version of Black's Business Statistics for Contemporary Decision Making, Fourth Edition Update, in one easy-to-use Web site. Organized around the essential activities you perform in class, eGrade Plus helps you: Create class presentation using a wealth of Wiley-provided resources. you may easily adapt, customize, and add to his content to meet the needs of your course. Automate the assigning and grading of homework or quizzes by using Wiley-provided question banks, or by writing your won. Student results will be automatically graded and recorded in your gradebook. Track your students' progress. An instructor's gradebook allows you to an analyze individual and overall class results to determine each student's progress and level of understanding. Administer your course. eGrade Plus can easily be integrated with another course management system, gradebook, or other resources you are using in your class. Provide students with problem-solving support. eGrade Plus can link homework problems to the relevant section of the online text, providing context-sensitive help. Best of all, instructors can arrange to have eGrade Plus packaged FREE with new copies of Business Statistics for Contemporary Decision Making, Fourth Edition Update, All instructors have to do is adopt the eGrade Plus version of this book and activate their eGrade Plus course.

    This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.

    Well known author, Fred Luthans is the 5th highest Publisher in Academy of Management Journals, is a senior research scientist with the Gallup Organization, and continues to do research in the organizational behavior area. Organizational Behavior, 11th Edition is ideal for instructors who take a research-based and conceptual approach to their OB course.

    Cases, examples and problems from a variety of project types are used to illustrate the text.

    This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve