The 2024 release of Applied Statistics in Business and Economics offers a complete yet student-friendly application-based approach necessary for student success in the classroom and beyond. This title continues to focus on Excel and business applications, with new Integrated Excel exercises and concept videos, while also taking into account that the analytics world is using more sophisticated tools with the addition of an optional section on R for each chapter to expose students to the application of R to solve statistical problems. This title also includes updated and applicable Analytics in Action briefings and Mini Cases in each chapter to help students tie concepts to real-world situations found in today’s business environment, further promoting career-readiness.

About the Authors:

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 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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