Business Statistics: A First Course, Global Edition, 8th edition
Published by Pearson (December 18, 2019) © 2020
  • David M. Levine
  • Kathryn A. Szabat
  • David F. Stephan

Title overview

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 one-semester business statistics courses.

A focus on using statistical methods to analyze and interpret results to make data-informed business decisions

Statistics is essential for all business majors, and Business Statistics: A First Course helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by the principles set forth by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the 8th Edition, Global Edition, continues to innovate and improve the way this course is taught to all students. With new examples, case scenarios, and problems, the text continues its tradition of focusing on the interpretation of results, evaluation of assumptions, and discussion of next steps that lead to data-informed decision making. The authors feel that this approach, rather than a focus on manual calculations, better serves students in their future careers. This brief offering, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

Hallmark features of this title

  • 5 guiding principles ensure students see the relevance of stats in their own careers, focus on interpreting data and analyzing results (vs. on manual calculations), get familiar with data analysis software, and receive clear program instructions.
  • A Define, Collect, Organize, Visualize, and Analyze framework is used to help students solve business problems.
  • A continuing Case throughout the text helps integrate learning across chapters and topics.
  • Digital Cases let students examine interactive documents, sift through various claims, and discover conclusions and claims supported by the data.
  • End-of-chapter problems test students' ability to apply concepts to real business problems.

New and updated features of this title

  • NEW: Online “First Things First” chapter uses real-world examples to show how developments like the increasing use of analytics and big data have made understanding stats that much more critical.
  • 7 NEW and REVISED: Using Statistics business scenarios open each chapter, providing context for the concepts and showing how stats is used in key functional areas of business.
  • UPDATED: Statistical software (JMP, Excel, and Minitab) instructions, guides, and output show students how to use these programs in decision making. Examples were written by the authors, who collectively have 100+ years of experience teaching the application of software to business.
  • UPDATED: Tabular summaries now guide readers to reach conclusions and make decisions based on statistical information (Chs. 9 to 15).
  • NEW: A brand-new Chapter 17, “Business Analytics” makes extensive use of JMP and Minitab to illustrate predictive analytics for prediction, classification, clustering, and association, etc.

Key features

Features of MyLab Business Statistics for the 8th Edition

  • NEW: Pearson eText is an easy-to-use digital textbook, available with MyLab, which lets students read, highlight and take notes all in one place, even when offline.
  • The Getting Ready for Statistics Library contains more than 450 exercises to ensure students have mastered the needed developmental math topics before beginning their stats course.
  • Question Help in homework and practice questions help students master the concepts. Learning aids walk them through the problem, giving them assistance when they need it most.
  • The Study Plan gives students personalized recommendations, practice opportunities and learning aids to help them stay on track.
  • NEW: Using proven, field-tested technology, auto-graded Excel Projects let you seamlessly integrate Microsoft® Excel® content into your course without having to manually grade spreadsheets.

Table of contents

  1. 1. Defining and Collecting Data
  2. 2. Organizing and Visualizing Variables
  3. 3. Numerical Descriptive Measures
  4. 4. Basic Probability
  5. 5. Discrete Probability Distributions
  6. 6. The Normal Distribution
  7. 7. Sampling Distributions
  8. 8. Confidence Interval Estimation
  9. 9. Fundamentals of Hypothesis Testing: One-Sample Tests
  10. 10. Two-Sample Tests
  11. 11. Analysis of Variance
  12. 12. Chi-Square and Nonparametric Tests
  13. 13. Simple Linear Regression
  14. 14. Introduction to Multiple Regression
  15. 15. Multiple Regression Model Building
  16. 16. Time-Series Forecasting
  17. 17. Business Analytics
  18. 18. Getting Ready to Analyze Data in the Future
  19. 19. Statistical Applications in Quality Management (online)
  20. 20. Decision Making (online)
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