Applied Statistics in Business and Economics, Canadian Edition (Includes CD-ROM)

David P.Doane;Lori E. Seward;Yash,Aneja;Peter,Miller

ISBN 10: 0070813795 / ISBN 13: 9780070813793

Published by McGraw-Hill Ryerson Higher Education, 2010

About this Item

As new copy. (see picture) 824 pages including index. Unopened CD-ROM.

Seller Inventory # 012724

Bibliographic Details

• Title: Applied Statistics in Business and Economics, Canadian Edition (Includes CD-ROM)
• Publisher: McGraw-Hill Ryerson Higher Education
• Publication Date: 2010
• Language: English
• ISBN 10: 0070813795
• ISBN 13: 9780070813793
• Binding: Hardcover
• Condition: As New
• Dust Jacket Condition: No Jacket

About this title

Synopsis

Doane's Applied Statistics in Business and Economics, Canadian Edition, offers an Excel-focused approach to using statistics in Canadian business. All statistical concepts are illustrated with applied examples when first introduced in the text; and that strong focus remains as modern computing tools and applications are introduced as opposed to providing programming methods used to find a mathematical solution. Interpretation is heavily emphasized, enabling students to take full advantage of Excel to develop and drive problem-solving skills.

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About the Authors

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.

Peter L. Miller is an Assistant Professor in the Management Science Area at the Odette School of Business, University of Windsor. He earned his Bachelor of Engineering degree in Electrical Engineering at McGill University, his Masters of Business Administration degree from the University of Toronto, and did some additional post graduate studies at UCLA earning a Candidate in Philosophy degree, majoring in business statistics and minoring in finance and urban land economics.

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.

Yash Aneja is Professor of Management Science in the Odette School of Business at the University of Windsor. He received his M.Stat. from the Indian Statistical Institute, and PhD in Mathematical Sciences from Johns Hopkins University. Yash has published over 60 articles in leading journals.