Study Guide for use with Statistical Techniques in Business and Economics
McGraw-Hill Professional (Publisher)
12th Edition
Published on 16. February 2004
Book
Paperback/Softback
978-0-07-286829-6 (ISBN)
Description
Includes goals, a 2 to 4 page chapter review, glossary, step-by-step solved problems, boxed drill exercises (with answers at end of study guide), and a chapter assignment including multiple choice questions, fill-in-the-blank, and open ended problems, all in a "tear out" and turn in format.
More details
Edition
12th edition
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 17 mm
Weight
753 gr
ISBN-13
978-0-07-286829-6 (9780072868296)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

Douglas A. Lind | William G. Marchal | Robert D. Mason
Statistical Techniques in Business and Economics
Book
09/2001
11th Edition
McGraw-Hill Inc.,US
€23.55
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 Presentation 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 TheoryAppendixesAnswers to Odd-Numbered Chapter ExercisesAnswers to Odd-Numbered Review ExercisesPhoto CreditsIndex