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Business Statistics

Concepts and Applications in R

Authors

Ronald M. Miller, PhD
Statistics Professor—Woodbury School of Business at Utah Valley University
Boyd H. Timothy, PhD
Brigham Young University–Hawaii
Megan Costantino
Statistics Consultant
Bonnie C. Allred Dalley
Research Analyst—University of Utah
Andre Luis Rossi de Oliveira, PhD
Economics Professor—Woodbury School of Business at Utah Valley University

Contributors

Steven Scott
Course Designer
Kaden Comadena
Course Designer
Tyler Searle
Video Production
Hunter Lindelof
Illustrations Designer

Developers

Brad Gessell
Software Engineer
Thomas Groshong
Software Engineer
Jordan Gardner
Software Engineer
David Hanks
Software Engineer

Editors

Teri Brandenburg, PhD
Curriculum Director
Aspen Stander
Copy Editor
Edition 1
(rev. 4715)

This resource introduces students to basic statistical methods that provide insight into current business operations and help predict future conditions for effective business planning. Students will use descriptive and inferential statistics to describe current data, make estimates about larger groups, and inform smart business decisions.

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