Instructors, contact your Pearson rep for more information. MyLab is an online homework, tutorial, and assessment platform designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
As in earlier editions, the text stresses the development of statistical thinking, the assessment of credibility, and the value of the inferences made from data, both by those who consume and those who produce them.
It assumes a mathematical background of basic algebra. This edition gives readers the foundation in statistics needed for an edge in today's competitive business world. Readers learn how to solve problems from an intelligent, quantitative perspective.
Streamlined to focus on core topics, this new edition provides the latest updates with new case problems, applications, and self-test exercises to help readers master key formulas and apply statistical methods as they learn them.
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that present the latest statistical data and business information with unwavering accuracy.
More than new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action.
You gain practice as exercises and appendices that walk you through using the leading professional statistical software JMP Student Edition 14 and Excel This textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory.
The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context.
Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part. The author's signature problem-scenario approach and reader-friendly writing style combine with proven methodologies, hands-on exercises, and real-world examples to take you deep into realistic business problems and help you solve them from an intelligent, quantitative perspective.
Streamlined to focus on core topics, this new edition has been updated with new case problems, applications, and self-test exercises to help you master key formulas and apply the statistical methods you learn. This best-selling introduction stresses the development of statistical thinking — the assessment of credibility and value of the inferences made from data — by both those who consume and those who produce the information.
The authors emphasize inference; data collection and analysis are covered extensively, as needed, to evaluate the reported results of statistical studies and to make good business decisions.
Numerous case studies, examples, and exercises draw on real business situations and recent economic events. Assumes a background in basic algebra. Maintaining a student-oriented learning environment, examples and problems are designed to teach the basics while remaining relevant to the real world -- of key importance to helping students understand the relevance of statistics.
Building upon the strenth of the first edition, the author has taken great strides to expand the Canadian sources for data sets, references and examples. With its application-oriented approach, the fifth EMEA edition of Statistics for Business and Economics teaches students the core concepts of statistics in the fields of business, management and economics, with the needs of the non-mathematician in mind.
The authors interweave statistical methodology with applications of data analysis to enrich students' understanding of how statistics underpin problem-solving and decision-making. Camm,James J. Moore Publisher : W.
Vital Statistics Author : William H. Sandholm,Brett A. Lind,William G. Business Economics and Statistics Author : A. It assumes a mathematical background of basic algebra. 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. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
For courses in Business Statistics. A classic text for accuracy and statistical precision Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to beco. Huchendorf, University of Minnesota. Contains detailed solutions to all even-numbered exercises.
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