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

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

ISBN 10: 0324012071 / ISBN 13: 9780324012071

Published by South-Western 21/07/1999, 1999

About this Item

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Bibliographic Details

• Title: Introduction to Business Statistics: A Computer Integrated, Data Analysis Approach
• Publisher: South-Western 21/07/1999
• Publication Date: 1999
• Language: English
• ISBN 10: 0324012071
• ISBN 13: 9780324012071
• Binding: Hardcover
• Edition: 5th or later Edition
• Condition: Very Good

About this title

Synopsis

As with earlier editions, this text fully integrates the use of computers with statistics. This edition has retained the non-intimidating approach to describing the concepts and applications of statistics while giving students the opportunity to observe and actually carry out computer-generated solutions using a statistics package like MINITAB or a spreadsheet package like Excel. The text has also been designed so that those requiring a more traditional calculator-based approach will find an abundance of exercises and examples that can be solved in that manner. A CD-ROM presenting data sets and special Excel macros that Robert Pavur (Professor, U of North Texas) has created will be bound into the back of the book.

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.