Introduction to Business Statistics: A Computer Integrated, Data Analysis Approach

Alan H. Kvanli, Robert J. Pavur, Kellie Keeling, C. Stephen Guynes

ISBN 10: 0314042245 / ISBN 13: 9780314042248

Published by South-Western 23/03/1995, 1995

About this Item

Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Seller Inventory # 6545-9780314042248

Bibliographic Details

• Title: Introduction to Business Statistics: A Computer Integrated, Data Analysis Approach
• Publisher: South-Western 23/03/1995
• Publication Date: 1995
• Language: English
• ISBN 10: 0314042245
• ISBN 13: 9780314042248
• Binding: Hardcover
• Edition: 4th Edition
• Condition: Very Good

About this title

Synopsis

This text fully integrates the use of computers with statistics yet can still be used by those desiring a more traditional calculator-based approach.

About the Authors

Al Kvanli is Associate Professor of Management Science and Statistics at the University of North Texas. He received the MA degree in mathematics from the University of Kansas and the Ph.D. in mathematical statistics from Southern Methodist University. For the past fifteen years Dr. Kvanli has been the statistical consultant for the Department of Health and Human Services (HHS), Office of Audit. In this role, he created much of the statistical software used by federal auditors and teaches sampling courses for state and federal auditors. He often serves as expert witness in appeals of monetary recovery by HHS and he has written a number of articles related to the application of statistical sampling in an audit environment.

Robert Pavur is Professor of Management Science and Statistics at the University of North Texas. He received the Ph.D. in statistics from Texas Tech University. He has held various officer positions, including president, in the Southwest regional Decision Science Institute and received its distinguished service award in 2000. He has published a number of articles on alternative approaches to solving the statistical classification problem. His papers have appeared in journals such as the Annals of Operations Research, IEEE Transactions on Reliability, European Journal of Operational Research, Journal of the Operational Research Society, and International Journal of Operations and Quantitative Management. He uses his statistical skills as a cryptologist in the Naval Reserve.