
Statistics for Managers Using Microsoft Excel, Global Edition, 9th edition
- David M. Levine |
- David F. Stephan |
- Kathryn A. Szabat |
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 courses in Introduction to Business Statistics.
The gold standard in learning Microsoft Excel for business statistics
Statistics for Managers Using Microsoft® Excel®, 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. 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. Current data throughout gives students valuable practice analyzing the types of data they will see in their professions, and the authors’ friendly writing style includes tips and learning aids throughout.
The book also integrates PHStat, a statistical add-in that bolsters the functions of Excel. Extensive instructor and student resources are provided, including two online-only chapters, as well as the Digital Cases referenced in the text.
Pearson MyLab Statistics is not included. Students, if Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
Hallmark features of this title
- Data analysis through interpretation of the results from Microsoft Excel is emphasized.
- An integrated 5-step approach helps students follow the progression of applying statistics: Define, Collect, Organize, Visualize, Analyze.
- First Things First sets the context for explaining what statistics is while ensuring students understand the importance of business statistics. It is designed for distribution before the first class begins and especially helpful for hybrid or online courses.
- Student Tips reinforce concepts and offer quick study tips for mastering key details.
- Learn More references reinforce important points and direct students to additional learning resources.
- End-of-chapter cases include a business case that continues through most chapters.
New and updated features of this title
- New or revised Using Statistics case scenarios in 7 chapters begin those chapters, and show how statistics is used in accounting, finance, information systems, management or marketing. Scenarios are then used throughout the chapter to provide an applied context for the concepts.
- New Tableau Guides in each chapter explain how to use the data visualization software Tableau Public to complement Microsoft Excel for visualizing data. The text offers Tableau Public results for selected methods in which Tableau can enhance or complement Excel results.
- A new Business Analytics chapter (Ch. 17) is a complete introduction to the field of business analytics. It defines terms and categories that introductory business statistics students may encounter in other courses or outside the classroom.
- Includes a new Consider This feature, “What's My Major If I Want to Be a Data Miner?”
- Exercises have been reviewed, updated and replaced in this edition.
- Tabular summaries now guide readers to reaching conclusions and making decisions based on statistical information. This change not only adds clarity to the purpose of the statistical method being discussed but better illustrates the role of statistics in business decision-making processes.
Key features
Features of MyLab Statistics for the 9th Edition
- Excel Grader Projects: Excel Projects in MyLab Statistics allow students to analyze data using actual Microsoft Excel spreadsheet software.
- Each Excel project focuses on a key concept in the business statistics course and asks students to answer questions about a data set provided in Excel.
- Excel project questions are auto-graded and provide immediate feedback so students can identify any conceptual or procedural mistakes made in the problem solving process.
- 23 separate statistical topics are covered.
- Using proven, field-tested technology, auto-graded Excel Projects let instructors seamlessly integrate Microsoft Excel content into the course without having to grade spreadsheets manually.
Table of contents
- 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