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Essentials of Modern Business Statistics with Microsoft® Excel®

By Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

9th Edition © 2025
Discipline:Decision Sciences
Course:Business Statistics & Analytics
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Provide a balanced, conceptual understanding of statistics with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 9th Edition. Each statistical technique is developed in an application setting with instructions for using Microsoft Excel®. Statistical procedures are followed by step-by-step instructions and images demonstrating how to use Excel®. Excel® Online and R are also covered in the Cengage eBook.

Hundreds of interesting real business examples, application exercises and the authors' signature problem-scenario approach demonstrate how statistics provide insights into business decisions and problems. Quality problems offer unwavering accuracy. New case problems check mastery and develop soft skills, while comprehensive online support with MindTap provides an easy-to-use and flexible courseware experience.

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MindTap for Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 9th Edition, is the the online learning platform that powers students…

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MindTap for Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 9th Edition, is the the online learning platform that powers students…

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About this product

Provide a balanced, conceptual understanding of statistics with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT® EXCEL®, 9th Edition. Each statistical technique is developed in an application setting with instructions for using Microsoft Excel®. Statistical procedures are followed by step-by-step instructions and images demonstrating how to use Excel®. Excel® Online and R are also covered in the Cengage eBook.

Hundreds of interesting real business examples, application exercises and the authors' signature problem-scenario approach demonstrate how statistics provide insights into business decisions and problems. Quality problems offer unwavering accuracy. New case problems check mastery and develop soft skills, while comprehensive online support with MindTap provides an easy-to-use and flexible courseware experience.

CONTENT SEAMLESSLY INTEGRATES COVERAGE OF THE LATEST VERSION OF MICROSOFT EXCEL. Immediately following every statistical procedure, a sub-section discusses how to use Excel to perform that procedure. This approach clearly incorporates the use of Excel while keeping the primary emphasis on key statistical methodology. A consistent framework for applying Excel helps users focus on the statistical methodology without becoming distracted by the details of using Excel.

MINDTAP FEATURES EXCEL ONLINE INTEGRATION POWERED BY MICROSOFT®. MindTap takes students from basic statistical concepts to actively engaging in critical thinking applications while learning valuable software skills. MindTap's online learning platform includes an interactive eBook and auto-graded, algorithmic exercises from the latest edition of the printed text. With over 80 unique Excel Online activities, students learn how to apply statistical problem-solving with real, live application as they would on the job with step-by-step problem walk-through videos and personalized Excel solutions.

AUTHORS' SIGNATURE PROVEN PROBLEM-SCENARIO APPROACH EMPHASIZES APPLICATIONS IN BUSINESS TODAY. Using a unique hands-on approach, the authors discuss and develop each technique in an applications setting while clearly demonstrating how statistical results provide insights into decisions and solutions to problems. The problem scenarios emphasize how to apply statistics in real business and economics practice, which increases student interest and motivation for learning statistics.

BOOK OFFERS UNMATCHED STUDENT READABILITY. For more than 30 years, student surveys and instructor feedback have shown that readability is a hallmark of this proven learning solution. In addition to clear explanations, this edition is packed with real-world examples, current illustrations and step-by-step instructions that clarify and engage readers.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
About the Authors
Preface
Acknowledgments
Chapter 1. Data and Statistics*Preview this chapter
Chapter 2. Descriptive Statistics: Tabular and Graphical Displays
Chapter 3. Descriptive Statistics: Numerical Measures
Chapter 4. Introduction to Probability
Chapter 5. Discrete Probability Distributions
Chapter 6. Continuous Probability Distributions
Chapter 7. Sampling and Sampling Distributions
Chapter 8. Interval Estimation
Chapter 9. Hypothesis Tests
Chapter 10. Inference About Means and Proportions with Two Populations
Chapter 11. Inferences About Population Variances
Chapter 12. Tests of Goodness of Fit, Independence, and Multiple Proportions
Chapter 13. Experimental Design and Analysis of Variance
Chapter 14. Simple Linear Regression
Chapter 15. Multiple Regression
Appendix A. References and Bibliography
Appendix B. Tables
Appendix C. Summation Notation
Appendix D. Microsoft Excel and Tools for Statistical Analysis
Appendix E. Microsoft Excel Online and Tools for Statistical Analysis
Appendix F. Solutions to Even-Numbered Exercises (Cengage eBook)
Show more

Chapter 1. Data and StatisticsPreview this chapter ↗

1.1
Applications in Business and Economics
Preview this section ↗
Accounting ↗
Finance ↗
Marketing ↗
Production ↗
Economics ↗
Information Systems ↗
1.2
Data
Preview this section ↗
Elements, Variables, and Observations ↗
Scales of Measurement ↗
Categorical and Quantitative Data ↗
Cross-Sectional and Time Series Data ↗
1.3
Data Sources
Preview this section ↗
Existing Sources ↗
Observational Study ↗
Experiment ↗
Time and Cost Issues ↗
Data Acquisition Errors ↗
1.4
Descriptive Statistics ↗
1.5
Statistical Inference ↗
1.6
Statistical Analysis Using Microsoft Excel ↗
1.7
Analytics ↗
1.8
Big Data and Data Mining ↗
1.9
Ethical Guidelines for Statistical Practice ↗
Summary ↗
Glossary ↗
Supplementary Exercises ↗
Appendix. Getting Started with R and RStudio ↗
Appendix. Basic Data Manipulation with R ↗
Show more

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