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Statistics for Managers Using Microsoft Excel, Global Edition eBook, 9th Edition

David M. Levine
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Statistics for Managers Using Microsoft Excel, Global Edition eBook, 9th Edition

By David M. Levine, David F. Stephan, Kathryn A. Szabat
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Overview
Author
David M. Levine
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Edition
9th
ISBN
9781292338309
Published Date
10/07/2020
For one-semester courses in Introduction to Business Statistics.

The gold standard in learning Microsoft Excelfor 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 analysing the types of data they will see in their professions, and the authors’ friendly writing style includes tips and learning aids throughout.

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New to this edition
  • New or revised Using Statistics case scenarios in seven chapters of the 9th Edition, Global Edition. These business scenarios begin each chapter, showing 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, to bring students from knowing to applying.
  • New Tableau Guides in each chapter explain how to use the data visualisation software Tableau Public as a complement to Microsoft® Excel® for visualising data. The text offers Tableau Public results for selected methods in which Tableau can enhance or complement Excel results.
  • A new Business Analytics chapter (Chapter 17) provides a complete introduction to the field of business analytics. The chapter 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. Found in Chapters 10 through 13, 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.
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

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