Statistical Techniques In Business And Economics 2
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A comprehensive survey of statistical tools and methods for economics and business, this text presents key concepts and then illustrates them with a solved example.
Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student's text,” Lind's supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill’s adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect Plus help students solve problems and apply what they’ve learned. Lind’s real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.
This brand new book in statistics aims to provide an introduction to the key methods and techniques essential to a typical statistics syllabus, whilst also helping students to develop the skills needed to analyse, interpret and prepare data for use in business, economics and related disciplines. Covering the essential methods required at undergraduate level, the book is structured into four parts that deal with descriptive statistics, probability, sample theory and inferential statistics, taking students from the basics through to more advanced topics such as multiple linear regression. Every chapter contains clear descriptions of each technique, illustrated with numerous worked examples to aid students in understanding how to practice statistical methods. The real data used in the examples is drawn from European sources. The text also contains longer case examples set in a European business context, to show how statistics is used everyday in the business environment. Finally, each chapter concludes with a variety of exercises to test studentsâ€™ ability to apply the theory and attain a high level of competence in using statistics. This comprehensive book is ideal for student of statistics at undergraduate level taking an introductory module in the topic.
This text is aimed at commerce and social science students who have already completed a first semester course in mathematics and applied statistics.
Lists and describes the various types of general business reference sources and sources having to do with specific management functions and fields
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 think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes’ theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression). The final chapter introduces classical time-series analysis and how it applies to business and economics. This text provides a practical understanding of the value of statistics in the real world. After reading the book, students will be able to summarize data in insightful ways using charts, graphs, and summary statistics as well as make inferences from samples, especially about relationships.
This title enables students to conduct serious analysis of applied problems rather than running simple 'canned' applications. The text is at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
Drawing from the authors’ unmatched experience as professors and consultants, STATISTICS FOR BUSINESS AND ECONOMICS, 13E delivers sound statistical methodology, a proven problem-scenario approach, and meaningful applications that clearly demonstrate how statistical information informs decisions in actual business practice. Completely up to date, more than 350 real business examples, 33 cases, and hands-on exercises present the latest statistical data and business information with unwavering accuracy. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables. The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks.
This volume provides solid methodological development in the area of statistics for business and economics. The development of each technique is presented in an application setting, with statistical results providing insights and solutions to problems.