Business Statistics: A First Course, Global Edition, 8th edition
Published by Pearson (December 18, 2019) © 2020
- David M. Levine Baruch College, City University of New York
- Kathryn A. Szabat La Salle University
- David F. Stephan Two Bridges Instructional Technology
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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 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.
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 Business Statsitics
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.
Business Statistics follows 5 guiding principles:
1. Help students see the relevance of statistics in their own careers by using examples from functional areas (e.g., accounting, finance, marketing, etc.) that they may specialize in.
2. Emphasize interpretation and analysis of statistical results over calculation, as these activities are more important to students’ futures.
3. Give students ample practice in understanding how to apply statistics to business (e.g., classroom examples and homework exercises involve actual or realistic data, and both small and large data sets).
4. Familiarize students with the use of data analysis software. Microsoft Excel, JMP, and Minitab are integrated into all topics to illustrate how software can help in the business decision-making process.
5. Provide clear data analysis software instructions to students so they understand how to use the programs.
A real-life business approach grounds statistics in everyday life, helping students see how the concepts they are learning apply to their future careers.
· New - An online First Things First chapter uses real-world examples to illustrate how developments such as the increasing use of business analytics and big data have made knowing and understanding stats that much more critical.
· New and Revised - Using Statistics business scenarios open each chapter, providing context for the concepts and showing how statistics is used in key functional areas of business. At the end of the chapter, Using Statistics, Revisited, reinforces the statistical methods and applications just discussed. In the 8th Edition, 7 chapters have new or revised Using Statistics scenarios.
· A running end-of-chapter Case throughout the text helps integrate learning across chapters and topics.
· With Digital Cases, students examine interactive documents to sift through various claims and information to discover the conclusions and claims supported by the data. Learners also see how to identify common misuses of statistical information.
Pedagogical tools help keep students on track, providing an ideal framework for learning and understanding statistical concepts.
· End-of-Chapter/Section features reinforce students’ learning:
o Exhibits summarize key processes throughout the book.
o Key Terms provide definitions of important vocabulary used.
o Learning the Basics questions test the basic concepts of a chapter.
o Applying the Concepts problems test students’ ability to apply those problems to business problems.
o Key Equations list boxed number equations that appear in a chapter.
· New and Updated - Statistical software (JMP, Excel, and Minitab) instructions, guides, and output throughout every chapter familiarize students with how to use these programs in business decision making, and allow learners to focus on interpreting data rather than mathematical computations. Examples were personally written by the authors, who collectively have over 100 years of experience teaching the application of software to business.
· Visual explorations. The Excel add-in workbook allows students to interactively explore important statistical concepts in descriptive statistics, the normal distribution, sampling distributions, and regression analysis.
· Updated - Tabular summaries now guide readers to reach conclusions and make decisions based on statistical information (Chapters 9 through 15). They help clarify the purp
A real-life business approach grounds statistics in everyday life, helping students see how the concepts they are learning apply to their future careers.
· An online First Things First chapter uses real-world examples to illustrate how developments such as the increasing use of business analytics and big data have made knowing and understanding stats that much more critical.
· Using Statistics business scenarios open each chapter, providing context for the concepts and showing how statistics is used in key functional areas of business. At the end of the chapter, Using Statistics, Revisited, reinforces the statistical methods and applications just discussed. In the 8th Edition, 7 chapters have new or revised Using Statistics scenarios.
Pedagogical tools help keep students on track, providing an ideal framework for learning and understanding statistical concepts.
· Statistical software (JMP, Excel, and Minitab) instructions, guides, and output throughout every chapter familiarize students with how to use these programs in business decision making, and allow learners to focus on interpreting data rather than mathematical computations. Examples were personally written by the authors, who collectively have over 100 years of experience teaching the application of software to business.
· Tabular summaries now guide readers to reach conclusions and make decisions based on statistical information (Chapters 9 through 15). They help clarify the purpose of the statistical method and better illustrate the role of stats in the business decision-making process.
· A brand-new Business Analytics Chapter 17 makes extensive use of JMP and Minitab to illustrate predictive analytics for prediction, classification, clustering, and association as well as explaining what text analytics does and how descriptive and prescriptive analytics relate to predictive analytics.
Pearson MyLab 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.
· Pearson eText is a simple-to-use, personalized reading experience available within MyLab. It lets students easily highlight and take notes all in one place—even when offline. Engage students and give them access to the help they need, when they need it.
· Using proven, field-tested technology, Excel Projects let you seamlessly integrate Microsoft® Excel® content into your course.
First Things First
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1. Defining and Collecting Data
2. Organizing and Visualizing Variables
3. Numerical Descriptive Measures
4. Basic Probability
5. Discrete Probability Distributions
6. The Normal Distribution
7. Sampling Distributions
8. Confidence Interval Estimation
9. Fundamentals of Hypothesis Testing: One-Sample Tests
10. Two-Sample Tests
11. Analysis of Variance
12. Chi-Square and Nonparametric Tests
13. Simple Linear Regression
14. Introduction to Multiple Regression
15. Multiple Regression Model Building
16. Time-Series Forecasting
17. Business Analytics
18. Getting Ready to Analyze Data in the Future
19. Statistical Applications in Quality Management (online)
20. Decision Making (online)
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Self-Test Solutions and Answers to Selected Even-Numbered Problems
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