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Essentials of Statistics for Business and Economics

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

10th Edition © 2024
Discipline:Decision Sciences
Course:Business Statistics & Analytics
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Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 10E draws from the authors’ unmatched experience to introduce the most important elements of statistics using clear methodology, a proven problem-scenario approach and meaningful applications that demonstrate how statistical information impacts business decisions. More than 350 real and updated business examples, new and relevant cases and hands-on exercises present the latest statistical data with unwavering accuracy. Step-by-step instructions for Excel®, the latest JMP® Student Edition and R guide students in using this business software for data analysis. WebAssign allows you to deliver online activities, secure testing, an eBook and student study resources. Whether building their prerequisite knowledge or honing their problem-solving skills, you have flexible, rich content to fuel deeper student learning and confidence with this essentials approach.

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About this product

Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' market-leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 10E draws from the authors’ unmatched experience to introduce the most important elements of statistics using clear methodology, a proven problem-scenario approach and meaningful applications that demonstrate how statistical information impacts business decisions. More than 350 real and updated business examples, new and relevant cases and hands-on exercises present the latest statistical data with unwavering accuracy. Step-by-step instructions for Excel®, the latest JMP® Student Edition and R guide students in using this business software for data analysis. WebAssign allows you to deliver online activities, secure testing, an eBook and student study resources. Whether building their prerequisite knowledge or honing their problem-solving skills, you have flexible, rich content to fuel deeper student learning and confidence with this essentials approach.

APPENDICES AND FIGURES HIGHLIGHT TODAY'S LATEST PROFESSIONAL SOFTWARE. All step-by-step instructions in this edition's software appendices and all textbook figures featuring software output now reference the latest versions of Excel, JMP® Student Edition and R (online only). Students gain important hands-on experience using these popular professional statistical analysis software tools.

ENGAGING CASE PROBLEMS PROVIDE ADDITIONAL OPPORTUNITIES TO PRACTICE SKILLS. Approximately 50 case problems in this edition provide students with opportunities to put what they’ve learned into action. Students work on more complex problems, analyze larger data sets and prepare managerial reports based on the results of their analyses.

INTRIGUING EXAMPLES INCORPORATE REAL MEANINGFUL DATA. More than 100 new examples and exercises incorporate real data and reference timely sources to bring statistical concepts to life. The authors draw data from sources used by The Wall Street Journal, USA Today, Barron's and other leading publications. Using actual studies and applications, the authors present clear explanations and create exercises that demonstrate the many uses of statistics in business and economics today. In total, this edition provides more than 350 helpful examples and exercises.

TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN ESSENTIALS PRESENTATION. Prominent leaders and active consultants in business and statistics, this edition's authors Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney and Thomas A. Williams work seamlessly to deliver an accurate, real-world presentation of statistical concepts that you can trust to deliver accuracy and comprehensive, engaging content.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Preface
Acknowledgments
About the Authors
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. Comparing Multiple Proportions, Test of Independence, and Goodness of Fit
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. Computing p-Values with JMP and Excel
Appendix F. Microsoft Excel Online and Tools for Statistical Analysis
Appendix G. Solutions to Even-Numbered Exercises
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
Analytics ↗
1.7
Big Data and Data Mining ↗
1.8
Computers and Statistical Analysis ↗
1.9
Ethical Guidelines for Statistical Practice ↗
Summary ↗
Glossary ↗
Supplementary Exercises ↗
Appendix 1.1. Opening and Saving DATA Files and Converting to Stacked form with JMP ↗
Appendix. Getting Started with R and RStudio ↗
Appendix. Basic Data Manipulation with R ↗
Show more

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