Comprehensive survey of statistical tools and methods in a student friendly step-by-step format. Concepts presented clearly and succinctly and then illustrated with solved examples. Supporting pedagogy reinforces concepts. Text is the best seller in this market
Comprehensive survey of statistical tools and methods in a student friendly step-by-step format. Concepts presented clearly and succinctly and then illustrated with solved examples. Supporting pedagogy reinforces concepts. Text is the best seller in this market
Auflage
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 254 mm
Breite: 206 mm
Dicke: 33 mm
Gewicht
ISBN-13
978-0-256-26307-7 (9780256263077)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
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.
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.
1.What is Statistics?2.Describing Data: Frequency Distributions and Graphic Presentation3.Describing Data: Measures of Location4.Describing Data: Measures of Dispersion 5.A Survey of Probability Concepts6.Discrete Probability Distributions7.The Normal Probability Distribution8.Sampling Methods and Sampling Distributions9.Tests of Hypothesis: Large Samples10.Tests of Hypothesis: Small Samples11.Analysis of Variance12.Linear Regression and Correlation13.Multiple Regression and Correlation Analysis14.Nonparametric Methods: Chi-Square Applications15.Nonparametric Methods: Analysis of Ranked Data16.Statistical Quality Control17.Index Numbers18.Time Series and Forecasting19.An Introduction to Decision Making Under Uncertainty