Introduction to Business Statistics - Hardcover

Kvanli, Alan H.; Pavur, Robert J.; Keeling, Kellie

Hardcover

ISBN 10: 0324271565 ISBN 13: 9780324271560

Publisher: South-Western, 2002

Synopsis

This textbook introduces the statistical methods for analyzing business data and their solution using a computer. Each chapter explains the mechanics of a particular technique, and illustrates how to execute it in Excel. The sixth edition incorporates data analysis with the SPSS package. The CD-ROM contains Excel macros, introductions to Minitab and SPSS, and 200 data sets. Annotation c. Book News, Inc., Portland, OR (booknews.com)

About this title

Review

I use EXCEL and do not put much effort into teaching the students this software. Having examples in the text with matching EXCEL commands is very valuable to me and a definite plus over any text not having this feature. Having the EXCEL macros is also very convenient. It is important that students have access to friendly software that shows outputs corresponding to standard statistical techniques such as confidence intervals, hypothesis tests and simple linear regression.

About the Author

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. Kellie B. Keeling is an Assistant Professor of Business Information Technology at Virginia Tech. She received the Ph.D. in Management Science from the University of North Texas and the M.B.A. and B.S. in Mathematics from Wayland Baptist University. She has taught statistics, operations management, and simulation courses. Dr. Keeling has received the R. B. Pamplin College of Business Certificate of Teaching Excellence and the Virginia Tech University Certificate of Teaching Excellence.

Edition details

• Publisher: South-Western
• Publication date: 2002
• Language: English
• ISBN 10: 0324271565
• ISBN 13: 9780324271560
• Binding: Hardcover
• Edition number: 6