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Applied Statistics in Business and Economics

ISBN10: 1265032106 | ISBN13: 9781265032104

Applied Statistics in Business and Economics
ISBN10: 1265032106
ISBN13: 9781265032104
By David Doane and Lori Seward

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

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The 2025 Evergreen edition of Applied Statistics in Business and Economics offers a comprehensive, student-friendly approach essential for classroom and career success. This title emphasizes Excel and business applications with new Integrated Excel exercises and concept videos, and introduces optional sections on R in each chapter, reflecting the growing use of advanced analytical tools. Updated Analytics in Action briefings and Mini Cases help students connect concepts to real-world business scenarios. Additionally, this release has new critical thinking questions in select chapters that go beyond numerical calculations, focusing on interpretation and analysis to further promote career readiness. 

1.  Overview of Statistics 
2.  Data Collection 
3.  Describing Data Visually 
4.  Descriptive Statistics 
5.  Probability 
6.  Discrete Probability Distributions 
7.  Continuous Probability Distributions 
8.  Sampling Distributions and Estimation 
9.  One-Sample Hypothesis Tests 
10. Two-Sample Hypothesis Tests 
11. Analysis of Variance 
12. Simple Regression 
13. Multiple Regression 
14. Time-Series Analysis 
15. Chi-Square Tests 
16. Nonparametric Tests 
17. Quality Management 
18. Simulation 


 Appendix A: Binomial Probabilities 
 Appendix B: Poisson Probabilities 
 Appendix C-1: Standard Normal Areas 
 Appendix C-2: Cumulative Standard Normal Distribution 
 Appendix D: Student’s t Critical Values 
 Appendix E: Chi-Square Critical Values 
 Appendix F: Critical Values of F.10  
 Appendix G: Solutions to Odd-Numbered Exercises 
 Appendix H: Answers to Exam Review Questions 
 Appendix I: Writing and Presenting Reports 
 Appendix J: Statistics in Excel and R 
 Appendix K: Using R and RStudio

About the Author

David Doane

David P. Doane is Professor of Quantitative Methods in Oakland University's Department of Decision and Information Sciences. He earned his Bachelor of Arts degree in mathematics and economics at the University of Kansas and his PhD from Purdue University's Krannert Graduate School.

Lori Seward

Lori E. Seward is an Instructor in the Decisions Sciences Department in the College of Business at The University of Colorado at Denver and Health Sciences Center. She earned her Bachelor of Science and Master of Science degrees in Industrial Engineering at Virginia Tech. After several years working as a reliability and quality engineer in the paper and automotive industries, she earned her PhD from Virginia Tech.

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