Statistics for Business and Economics, Global Edition, 9th edition

Published by Pearson (July 29, 2019) © 2019

  • Paul Newbold
  • William L. Carlson St. Olaf College
  • Betty Thorne
£62.99

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This title is a Pearson Global Edition. 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 become stronger analysts for future managerial positions. In this regard, it emphasizes an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilize data from applied policy and research settings.

The Ninth Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognizes the globalization of statistical study and in particular the global market for this book.

MyLab Business Statistics is not included. Students, if MyLab Business Statistics is a recommended / mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Business Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

Reach every student by pairing this text with MyLab Statistics

MyLabTM is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

  • Data Sets: A number of large data sets containing Taiwan’s real estate measures, automobile fuel consumption, health data, the HEI Cost Data Variable Subset (which Includes the Healthy Eating Index, a measure of diet quality developed by the Economic Research Service and computed for each individual in the survey), New York’s air quality index, and more are described in detail at the end of the chapters where they are used in
  • Applying Concepts: It is important for students to know statistical concepts and apply those to different situations they face everyday or will face as managers of the future.
  • Examples have been added to almost all sections that illustrate the application of the concepts or methods of that section to a real-world context (even though the company or organisation may be hypothetical).
  • Problems are structured to present the perspective of a decision maker and the analysis provided is to help understand the use of statistics in a practical way.
  • Case Studies. Several case studies provide students with the opportunity to extend their statistical understanding to the context of research and analysis conducted by professionals.
  • Promoting Problem Analysis: Students need to be prepared with the statistical techniques that they will use in business
  • The section exercises begin with straightforward exercises targeted at the topics in each section. These are designed to check understanding of specific topics. It is easy to turn back to the chapter to clarify a concept or review a method.
  • The chapter exercises and applications lead to conclusions about the real world and are more application-based. They usually combine concepts and methods from different sections.
  • Improvement in clarity and relevance of discussions of the core topics included in the book.
  • Addition of large databases developed by public research agencies, businesses, and databases from the authors’ own works.
  • An extensive number of new end-of-section or end-of-chapter problems that emphasize problem solving using realistic examples, real data sets, and computer based analysis.

MyLabTM Statistics is not included. Students, if MyLab Statistics is a recommended / mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

  • 1: Describing Data: Graphical
  • 2: Describing Data: Numerical
  • 3: Probability
  • 4: Discrete Random Variables and Probability Distributions
  • 5: Continuous Random Variables and Probability Distributions
  • 6: Sampling and Sampling Distributions
  • 7: Estimation: Single Population
  • 8: Estimation: Additional Topics
  • 9: Hypothesis Testing: Single Population
  • 10: Hypothesis Testing: Additional Topics
  • 11: Simple Regression
  • 12: Multiple Regression
  • 13: Additional Topics in Regression Analysis
  • 14: Analysis of Categorical Data
  • 15: Analysis of Variance
  • 16: Time-Series Analysis and Forecasting
  • 17: Additional Topics in Sampling

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