Basic Statistics for Business and Economics

Lind/Marchal/Wathen: Basic Statistics for Business and Economics, Sixth edition is a derivative of the best-selling Statistical Techniques in Business and Economics, offering the essential topics 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 content as opposed to technology or programming methods, and the sixth edition continues as a "students" text with increased emphasis on interpretation of data and results.

Table of Contents:
Brief Contents 1What Is Statistics? 2Describing Data: Frequency Distributions and Graphic Presentation 3Describing Data: Numerical Measures 4Describing Data: Displaying and Exploring Data 5A Survey of Probability Concepts 6Discrete Probability Distributions 7Continuous Probability Distributions 8Sampling Methods and the Central Limit Theorem 9Estimation and Confidence Intervals 10One-Sample Tests of Hypothesis 11Two-Sample Tests of Hypothesis 12Analysis of Variance 13Linear Regression and Correlation 14Multiple Regression and Correlation Analysis 15Chi-Square ApplicationsMegaStat for ExcelVisual StatisticsAppendixes, Tables, Data Sets, SolutionsPhoto CreditsIndex

About the Author :
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.