Basic Business Statistics, Global Edition

Series
Pearson
Author
Mark L. Berenson / David M. Levine / Kathryn A. Szabat / David F. Stephan  
Publisher
Pearson
Cover
Softcover
Edition
14
Language
English
Total pages
840
Pub.-date
June 2019
ISBN13
9781292265032
ISBN
1292265035
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Description

For one- or-two-semester courses in business statistics.

 

Give students the statistical foundation to hone their analysis skills for real-world decisions

Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA’s Guidelines for Assessment and Instruction (GAISE) reports and the authors’ diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students’ understanding, and provides the best framework for learning statistical concepts.

 

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 Statistics

MyLab™ 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.

Features

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.

 

Helps students understand the role of statistics in their future careers

·    New - This edition contains a new Business Analytics Chapter that 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. 

·    Updated Examples and Using Statistics business scenarios are drawn from all functional areas of business, helping students see how the concepts they’re learning apply to their future careers and providing an applied context for learning. 

·    Project-Detailed Case Studies are included in numerous chapters. The Managing Ashland MultiComm Services continuing case, a team project related to bond funds, and undergraduate and graduate student surveys feature at the end of most chapters, helping to integrate learning across the chapters.

·    Digital Cases let students examine interactive PDFs to sift through various claims and information, discover the conclusions and claims supported by the data, and identify common misuses of statistical information.

 

Gives students a framework to learn and understand statistical concepts 

·    Updated - This text emphasizes data analysis and the interpretation of the results of a statistical method, rather than focusing on the mathematics of a method. The 14th Edition includes JMP results, supplementing the Excel and Minitab results from previous editions.

·    Visual Explorations allow students to interactively explore important statistical concepts in descriptive statistics, the normal distribution, sampling distributions, and regression analysis by using an Excel® add-in workbook and unique Excel integration. 

·    New - Chapters 9 through 15 now include Tabular Summaries that state hypothesis test and regression example results, along with the conclusions that those results support.

·    Features like Consider This essays and Learn More bubbles provide greater insight into the material and raise important issues about the application of statistical knowledge.

 

Enhances learning with flexible online features and software integration 

·    Integrates Excel with Visual Explorations that demonstrate basic concepts, and designed and implemented PHStat, the Pearson statistical add-in for Excel that places the focus on statistical learning. 

·    An extensive online library of separate topics, sections, and two full chapters allows instructors to tailor these materials to meet their curricular needs, and provides opportunities for additional learning. 

·    New - A First Things First Chapter, available as a complimentary online download, allows students to get a head start on learning and uses real-world examples to illustrate how developments, such as the increasing use of business analytics and “big data,” have made knowing and understanding statistics even more important. 

·    Updated New JMP Guides and updated Excel and Minitab Guides provide detailed, hands-on instructions for using the most recent editions of those programs in business decision making, with templates and applications designed to minimize the frustration of using the software and maximize statistical learning. The modularized nature of the software allows instructors and students to switch between applications as they use the 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.

 

·    Deliver trusted content: You deserve teaching materials that meet your own high standards for your course. That’s why we partner with highly respected authors to develop interactive content and course-specific resources that you can trust -- and that keep your students engaged. 

o   StatCrunch, a powerful, web-based statistical software, is integrated into MyLab, so students can quickly and easily analyze data sets from their text and exercises.

o   Diverse Question Libraries: Build homework assignments, quizzes, and tests to support your course learning outcomes. From Getting Ready (GR) questions to the Conceptual Question Library (CQL), we have your assessment needs covered from the mechanics to the critical understanding of Statistics. The exercise libraries include technology-led instruction, including new Excel-based exercises, and learning aids to reinforce your students’ success.

·    Empower each learner: Each student learns at a different pace. Personalized learning pinpoints the precise areas where each student needs practice, giving all students the support they need -- when and where they need it -- to be successful.

o   Tutorials and Study Cards for Statistical Software: Tutorials provide brief video walkthroughs and step-by-step instructional study cards on common statistical procedures such as confidence interval estimation, ANOVA, regression, and hypothesis testing. Tutorials and study cards are supplied for Excel 2013 and 2016, Excel with PHStat, JMP, and Minitab.

o   The Study Plan gives students personalized recommendations, practice opportunities, and learning aids to help them stay on track.

·    Teach your course your way: Your course is unique. So whether you’d like to build your own assignments, teach multiple sections, or set prerequisites, MyLab gives you the flexibility to easily create your course to fit your needs.

o   The Gradebook offers an easy way for you and your students to see their performance in your course.

·    Improve student results: When you teach with MyLab, student performance improves. That’s why instructors have chosen MyLab for over 15 years, touching the lives of over 50 million students. 

New to this Edition

Helps students understand the role of statistics in their future careers

·    This edition contains a new Business Analytics Chapter that 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. 

·    Examples and Using Statistics business scenarios are drawn from all functional areas of business, helping students see how the concepts they’re learning apply to their future careers and providing an applied context for learning. 

 

Gives students a framework to learn and understand statistical concepts 

·    This text emphasizes data analysis and the interpretation of the results of a statistical method, rather than focusing on the mathematics of a method. The 14th Edition includes JMP results, supplementing the Excel and Minitab results from previous editions.

·    Chapters 9 through 15 now include Tabular Summaries that state hypothesis test and regression example results, along with the conclusions that those results support.

 

Enhances learning with flexible online features and software integration 

·    A First Things First Chapter, available as a complimentary online download, allows students to get a head start on learning and uses real-world examples to illustrate how developments, such as the increasing use of business analytics and “big data,” have made knowing and understanding statistics even more important. 

·    New JMP Guides and updated Excel and Minitab Guides provide detailed, hands-on instructions for using the most recent editions of those programs in business decision making, with templates and applications designed to minimize the frustration of using the software and maximize statistical learning. The modularized nature of the software allows instructors and students to switch between applications as they use the 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.

 

Table of Contents

First Things First (online)

 

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 and Other Continuous Distributions

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)