This new edition presents the essential topics in probability and statistics from a rigorous standpoint. After providing an overview of the basics of probability, the authors cover essential topics such as confidence intervals, hypothesis testing, and linear regression.
John G. DelGreco, Ph.D., is an Associate Professor of Mathematics and Statistics at Loyola University Chicago. He holds a B.S. in mathematics from John Carroll University, an M.A. in mathematics from the University of Massachusetts, and a Ph.D. in industrial engineering from Purdue University. Before joining Loyola's faculty in 1987, Dr. DelGreco worked as a systems analyst for Micro Data Base Systems, Inc., located in Lafayette, Indiana. His research interests include applied graph theory, operations research, network flows, and parallel algorithms.