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Business Statistics
Concepts and Applications in R

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Authors

Ronald M. Miller, PhD

Statistics Professor—Woodbury School of Business at Utah Valley University

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. 4774)

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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Business Statistics Concepts and Applications in R

Authors

Contributors

Developers

Editors

Any Device, Any Location, Any Time

Embedded, Customizable Assessments

Advanced Analytics

Flashcards

Searchable Glossary

Highlights and Notes

Text, Video, Audio, Assessments

Business Statistics
Concepts and Applications in R