Business Statistics: A First Course, Global Edition

Series
Pearson
Author
David M. Levine / Kathryn A. Szabat / David F. Stephan  
Publisher
Pearson
Cover
Softcover
Edition
7
Language
English
Total pages
600
Pub.-date
September 2015
ISBN13
9781292095936
ISBN
1292095938
Related Titles



Description

Statistics is essential for all business majors, and this text helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by principles set by major statistical and business science associations (ASA and DSI), plus the authors’ diverse experiences, the Seventh Edition of Levine/Szabat/Stephan’s Business Statistics: A First Course continues to innovate and improve the way this course is taught to all students. This brief version, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series.

 

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


MyStatLab is an online homework, tutorial, and assessment product 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.

 

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.

 

  • A real-life business approach grounds the statistics in everyday life, helping students see how the concepts they are learning apply to their future careers.
    • Examples are drawn from key functional areas of business–accounting, finance, information systems, management, and marketing.
    • Up-to-date statistical software instructions and output throughout every chapter familiarize students with how to use these programs in business decision making, and allow them to focus on interpreting data rather than mathematical computations.
    • Using Statistics business scenarios open each chapter, showing how statistics is used in key functional areas of business. These scenarios are used throughout the chapter to provide context for the concepts, culminating in Using Statistics, Revisited, which reinforces the statistical methods and applications discussed in the chapter.
    • Projects-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 are included at the end of most chapters.  They help to integrate learning across the chapters and topics.
    • Digital Cases let students examine interactive PDF documents to sift through various claims and information to discover the conclusions and claims supported by the data. Learners see how to identify common misuses of statistical information.
    • Think About This essays provide greater insight into what students just read and raise important issues about the application of statistical knowledge.
  • Pedagogical tools help keep students on track, providing an ideal framework for learning and understanding the statistical concepts.
    • NEW! Getting Started: Things to Learn First. This new chapter addresses the challenge of students coming to the course with varied statistical backgrounds, sets the context for the course, and ensures that the class starts on the same page.
    • NEW! The revised DCOVA framework (Define, Collect, Organize, Visualize, and Analyze) is used throughout this text as an integrated approach for applying statistics to help solve business problems.
    • 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.

 

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

 

MyStatLab provides countless opportunities to practice, plus statistics-specific resources and tools that enhance students’ experience and comprehension.

  • Exercises with Multimedia Learning Aids: The homework and practice exercises in MyStatLab align with the exercises in the textbook, and they regenerate algorithmically to give students unlimited opportunity for practice and mastery. Exercises offer immediate helpful feedback, guided solutions, sample problems, animations, videos, and eText clips for extra help at point-of-use.

Additional Statistics Question Libraries:

    • 450 questions: Getting Ready for Statistics questions cover the developmental math skills students need for the course. These exercises can be assigned as a prerequisite to other assignments.
    • 1,000 questions: The Conceptual Question Library includes exercises, which may be assigned to assess students’ statistical understanding.
  • Business Insight Videos: Ten engaging videos show managers at well-known companies using statistics in their everyday work. Assignable questions encourage debate and discussion.
  • StatTalk Videos: Fun-loving statistician Andrew Vickers takes to the streets of Brooklyn, NY, to demonstrate important statistical concepts through interesting stories and real-life events. This series of 24 videos will actually help students understand statistics.  Accompanying assessment questions and instructor’s guide available.

 

New to this Edition

  • Pedagogical tools help keep students on track, providing an ideal framework for learning and understanding the statistical concepts.
    • Getting Started: Things to Learn First. This new chapter addresses the challenge of students coming to the course with varied statistical backgrounds, sets the context for the course, and ensures that the class starts on the same page.
    • The revised DCOVA framework (Define, Collect, Organize, Visualize, and Analyze) is used throughout this text as an integrated approach for applying statistics to help solve business problems.

New and Revised Content

  • Many new applied examples and problems appear throughout the text, often with revised data. The end-of-section and end-of-chapter problem sets contain many new problems that use data from recent news publications.
  • Many of the end-of-chapter cases are new and recur throughout the book.
    • The CardioGood Fitness case concerns analysis of sales and marketing data for home fitness equipment.
    • The Sure Value Convenience Stores case concerns pricing decisions made by a retailer.
    • The More Descriptive Choices Follow-Up case revisits the use of the retirement funds sample that was first introduced in Chapter 2.
    • The recurring Clear Mountain State Student Surveys uses data collected from surveys of undergraduate and graduate students to practice and reinforce statistical methods learned in various chapters. This case replaces end-of-chapter questions related to the student survey database in the previous edition.
    • NEW! The Brynne Packaging case covers simple linear regression.
  • Getting Started: Things to Learn First. This new chapter addresses the challenge of students coming to the course with varied statistical backgrounds, sets the context for the course, and ensures that the class starts on the same page.
  • The revised DCOVA framework (Define, Collect, Organize, Visualize, and Analyze) is used throughout this text as an integrated approach for applying statistics to help solve business problems.
  • Revised Making Best Use of This Book section Included as part of Section GS.4 of “Getting Started: Important Things to Learn First,” this section presents an overview of this book and checklist that helps students prepare for using Microsoft Excel or Minitab with this book.
  • Revised Software Appendices These appendices review the foundational skills for using Microsoft Excel and Minitab, review the latest technical information, and, for Excel users, cover optional but useful skills for working with Excel. 

Content Changes

  • Getting Started: Things to Learn First—This all-new chapter includes new material on business analytics and introduces the DCOVA framework and a basic vocabulary of statistics, both of which were introduced in Chapter 1 of the sixth edition.
  • Chapter 1— Collecting data has been relocated to this chapter from Section 2.1. Sampling methods and types of survey errors have been relocated from Sections 7.1 and 7.2. There is a new subsection on data cleaning. The CardioGood Fitness and Clear Mountain State Surveys cases are included.
  • Chapter 2—Section 2.1, “Data Collection,” has been moved to Chapter 1. The chapter uses a new data set that contains a sample of 316 mutual funds and a new set of restaurant cost data. The CardioGood Fitness, The Choice Is Yours Follow-up, and Clear Mountain State Surveys cases are included.
  • Chapter 3—For many examples, this chapter uses the new mutual funds data set that is introduced in Chapter 2. There is increased coverage of skewness and kurtosis. There is a new example on computing descriptive measures from a population using “Dogs of the Dow.” The CardioGood Fitness, More Descriptive Choices Follow-up, and Clear Mountain State Surveys cases are included.
  • Chapter 4—The chapter example has been updated. There are new problems throughout the chapter. The CardioGood Fitness, The Choice Is Yours Follow-up, and Clear Mountain State Surveys cases are included.
  • Chapter 5—There are many new problems throughout the chapter.
  • Chapter 6—This chapter has an updated Using Statistics scenario and some new problems. The CardioGood Fitness, More Descriptive Choices Follow-up, and Clear Mountain State Surveys cases are included.
  • Chapter 7—Sections 7.1 and 7.2 have been moved to Chapter 1. An additional example of sampling distributions from a larger population has been included.
  • Chapter 8—This chapter includes an updated Using Statistics scenario, and new examples and exercises throughout the chapter. The Sure Value Convenience Stores, CardioGood Fitness, More Descriptive Choices Follow-up, and Clear Mountain State Surveys cases are included. There is an online section on bootstrapping.
  • Chapter 9—This chapter includes additional coverage of the pitfalls of hypothesis testing. The Sure Value Convenience Stores case is included.
  • Chapter 10—This chapter has an updated Using Statistics scenario and a new example on the paired t-test on textbook prices, a new example on the Z-test for the difference between two proportions, and a new one-way ANOVA example on mobile electronics sales at a general merchandiser. The Sure Value Convenience Stores, CardioGood Fitness, More Descriptive Choices Follow-up, and Clear Mountain State Surveys cases are included. There is a new online section on Effect Size.
  • Chapter 11—The chapter includes many new problems. This chapter includes the Sure Value Convenience Stores, CardioGood Fitness, More Descriptive Choices Follow-up, and Clear Mountain State Surveys cases.
  • Chapter 12—The Using Statistics scenario has been updated and changed, with new data used throughout the chapter.This chapter includes the Brynne Packaging case. Chapter 13—This chapter includes many new and revised problems.
  • Chapter 14 -- The “Statistical Applications in Quality Management” chapter has been renumbered as Chapter 14 and moved online, where it is available for download as explained in Appendix C.
  • Enhanced Online Resources Appendix C presents a complete summary of all the online resources for this book that are available for download.
  • Enhanced Configuring Software Appendix. Primarily designed for readers who maintain their own computer systems, Appendix D helps readers eliminate common problems that could complicate their use of Microsoft Excel as they learn business statistics with this book.

 

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


MyStatLab provides countless opportunities to practice, plus statistics-specific resources and tools that enhance students’ experience and comprehension.

  • Exercises with Multimedia Learning Aids: The homework and practice exercises in MyStatLab align with the exercises in the textbook, and they regenerate algorithmically to give students unlimited opportunity for practice and mastery. Exercises offer immediate helpful feedback, guided solutions, sample problems, animations, videos, and eText clips for extra help at point-of-use.

Additional Statistics Question Libraries:

    • 450 questions: Getting Ready for Statistics questions cover the developmental math skills students need for the course. These exercises can be assigned as a prerequisite to other assignments.
    • 1,000 questions: The Conceptual Question Library includes exercises, which may be assigned to assess students’ statistical understanding.
  • Business Insight Videos: Ten engaging videos show managers at well-known companies using statistics in their everyday work. Assignable questions encourage debate and discussion.
  • StatTalk Videos: Fun-loving statistician Andrew Vickers takes to the streets of Brooklyn, NY, to demonstrate important statistical concepts through interesting stories and real-life events. This series of 24 videos will actually help students understand statistics.  Accompanying assessment questions and instructor’s guide available.

 

Table of Contents

Getting Started: Important Things to Learn First

1. Defining and Collecting Data
2. Organizing and Visualizing Data

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 and One-Way ANOVA
11Chi-Square and Nonparametric Tests 

12. Simple Linear Regression 

13.  Multiple Regression

14. Statistical Applications in Quality Management (online)
15. Model Building