
Statistical Techniques in Business and Economics with Student CD-Rom Mandatory Package
McGraw-Hill Professional (Publisher)
12th Edition
Published on 16. March 2004
Book
Mixed media product
928 pages
978-0-07-111316-8 (ISBN)
Description
This book is a perennial best seller owing to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. This edition continues as a students' text with increased emphasis on interpretation of data and results.
More details
Edition
12th edition
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Dimensions
Height: 274 mm
Width: 206 mm
Thickness: 31 mm
Weight
1769 gr
ISBN-13
978-0-07-111316-8 (9780071113168)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
William G. Marchal | Douglas A. Lind | Robert D. Mason
Statistical Techniques in Business and Economics
Book
12/2002
11th Edition
McGraw-Hill Education (ISE Editions)
€47.19
Article exhausted; check for reprint
Persons
Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.
William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.
Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Professor of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. He has published articles in the International Journal of Operations and Production Management, National Productivity Review, International Journal of Service Industry Management, and the Journal of Workplace Learning: Employee Counseling Today.
William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.
Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Professor of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. He has published articles in the International Journal of Operations and Production Management, National Productivity Review, International Journal of Service Industry Management, and the Journal of Workplace Learning: Employee Counseling Today.
Content
Statistical Techniques in Business and Economics, 12e 1. What is Statistics? 2. Describing Data: Frequency Distributions and Graphic Presentations 3. Describing Data: Numerical Measures 4. Describing Data: Displaying and Exploring Data5. A Survey of Probability Concepts6. Discrete Probability Distributions7. Continuous Probability Distributions8. Sampling Methods and the Central Limit Theorem9. Estimation and Confidence Intervals10. One-Sample Tests of Hypothesis11.Two Samples Tests of Hypothesis12. Analysis of Variance13. Linear Regression and Correlation14. Multiple Regression and Correlation Analysis15. Nonparametric Methods: Chi-Square Applications16. Nonparametric Methods: Analysis of Ranked Data17. Statistical Quality Control18. Index Numbers19. Time Series and Forecasting20. An Introduction to Decision TheoryAppendixes: Tables and Data Sets,and MegaStat Answers to Odd-Numbered Chapter ExercisesAnswers to Odd-Numbered Review ExercisesIndex