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Essentials of Business Statistics presents basic statistic concepts, including descriptive statistics, probability, and elementary inferential statistics in a student oriented style. All concepts are developed with support of unique three part examples: problem, solution, and interpretation, which give students the full picture. Applications are drawn from all areas of business and economics. This book is a refocused and shortened version of APPLIED STATISTICS FOR BUSINESS AND ECONOMICS 2/e by Webster. This briefer book concentrates on the core topics in business statistics. It is important to retain 2/e Webster users by presenting this 1/e as a "shortened" book. It is also very important to present it as a "new" alternative to the Mason level market, to replace any brief text, e.g. Mason, Levin/Rubin, Mann, Trioloa/Franklin and Anderson/Sweeney/Williams Essentials.
Statistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organizing and analyzing statistical data you can express what you know, benchmark your current situation, and estimate future outcomes. Based entirely on Microsoft Excel, this book covers a spectrum of statistic fundamentals from basic principles, to probability, sampling, hypothesis testing, forecasting, statistical process control and six-sigma management. This second edition is packed with features to aid understanding and help ensure that every aspect of your knowledge of statistics is applicable to practice, including: Icebreakers introducing each chapter that relate statistics to the real world, drawn from management and hospitality situations Detailed worked examples in each chapter Over 140 case-exercises complete with objective, situation, requirements, and answers A complete glossary of key terminology and formulas, mathematical relationships, and Excel relationships and functions A brand new companion website containing slides, worked-out-solutions to the case-exercises, and a test bank [coming soon] With a clear and accessible style this book makes statistics easier to understand. It is ideal for business, management, tourism and hospitality students who want to learn how to apply statistics to the real world.
This text integrates various statistical techniques with concepts from business, economics and finance, and demonstrates the power of statistical methods in the real world of business. This edition places more emphasis on finance, economics and accounting concepts with updated sample data.
A concise 'need-to-know' introduction to the essentials of statistics for business and management students with real-world examples and step-by-step tutorials for both Excel and SPSS to enhance and consolidate learning.
STATISTICS FOR BUSINESS AND ECONOMICS is a comprehensive textbook on Statistics that caters to the needs of students doing a course of any level in the subject. As consumers and future managers, students are introduced to a range of data collection and analysis methods that enable them to evaluate such data and analyse them to reach well informed decisions in various business settings. The thorough and exhaustive text, supplemented by a large number of solved examples, provides a firm grounding in the basics of Statistics. The step-by-step explanations and the logical progression of subject topics go a long way in simplifying the various concepts, methods and problem-solving processes comprising the subject. The book exposes the entire subject matter in a manner that aids easy comprehension and the basic learning of the subject even by those who have not studied it earlier. A large number of questions and exercises at the end of each chapter provide ample scope for practice and application of methods discussed in the book. Solutions to problems are provided in the CD that accompanies the book. The book is useful for students of management, economics and commerce, in which Statistics is a core paper in almost all universities. It is also useful for those preparing for various competitive exams.
The organization of this study guide parallels that of Cheng F Lee's Statistics for Business and Financial Economics, providing a comprehensive treatment of every chapter. To maximize students' understanding of the material, the author presents it in a slightly different though complementary way. For each chapter, the study guide provides: Chapter Intuition. Each chapter begins with an intuitive verbal explanation of the chapter's central message on why the chapter is important and where it is headed. Chapter Review. Rather than just giving a simple outline of the chapter, all the key concepts in the chapter are covered in a simple, easy-to-follow account. Useful Formulas. Where appropriate, a list of useful formulas from the chapter is provided so that one need not search the text to find formulas necessary for solving the problems. Example Problems and Solutions. Here, sample problems similar to the problems in the text are provided, along with step-by-step solutions. To provide a guide to solving the problems, each example states the topic that the problem illustrates. Supplementary Exercises. Once the example problems are studied, one's skills can be put to work by solving problems. A variety of exercise types is offered to accommodate various learning styles. Contents:Data Collection and PresentationFrequency Distribution and Data AnalysesNumerical Summary MeasuresProbability Concepts and Their AnalysisDiscrete Random Variables and Probability DistributionsThe Normal and Lognormal DistributionsSampling and Sampling DistributionsOther Continuous Distributions and Moments for DistributionsEstimation and Statistical Quality ControlHypothesis TestingAnalysis of Variance and Chi-Square TestsSimple Linear Regression and the Correlation CoefficientSimple Linear Regression and Correlation: Analyses and ApplicationsMultiple Linear RegressionOther Topics in Applied Regression AnalysisNonparametric StatisticsTime-Series: Analysis, Model, and ForecastingIndex Numbers and Stock Market IndexesSampling Surveys: Methods and ApplicationsStatistical Decision Theory: Methods and Applications Readership: Upper-level undergraduates and graduates in business, corporate finance, banking, finance, accounting and economics subjects; MBA students; corporate financial managers, financial analysts and portfolio managers. Keywords:
Designed for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to t