Statistical Techniques in Business and Economics with Student CD

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.

1 What Is Statistics?2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation3 Describing Data: Numerical Measures4 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-Sample Tests of Hypothesis12 Analysis of Variance13 Linear Regression and Correlation14 Multiple Regressions and Correlation Analysis15 Index Numbers16 Time Series and Forecasting17 Nonparametric Methods: Chi-Square Applications18 Nonparametric Methods: Analysis of Ranked Data19 Statistical Process Control and Quality Management20 An Introduction to Decision Theory MegaStat for Excel Visual Statistics 2.0 Appendixes Photo Credits Index