This unique book helps students achieve greater skills by challenging them to think at a higher
than basic level without requiring a higher level of mathematical computation.
The book is divided into thirteen chapters. Each chapter contains problems that are representative of the topics covered in introductory, noncalculus-based statistics texts. For the most part, the number of problems on each topic is proportional to the number of lectures typically devoted to the topic, thus giving instructors an ample number of problems for each topic.
Paul D. Berger is professor of marketing at Bentley University in Waltham, Massachusetts. For over three decades he was professor of Marketing and Quantitative Methods at Boston University. He was awarded a Ph.D. from the Sloan School of Management, Massachusetts Institute of Technology. Professor Berger is co-author of four books and author or co-author of over 130 scholarly articles. He is an active consultant in several areas, including Experimental Design, Data Analysis, Marketing Research, and Database Marketing. He received the Boston University Metcalf Award, a University-wide award for teaching excellence, as well as the John Russell Teaching Award for excellence in executive teaching.
Samuel C. Hanna recently retired from the position of professor of Quantitative Methods after more than 40 years of teaching at the School of Management, Boston University. He holds a Ph.D. in mathematics from the University of Pittsburgh. Prior to his appointment in 1963 at Boston University, he taught at Stonehill College and at the University of Pittsburgh, and later was manager of education and systems engineering at Sylvania Corporation. He is the co-author of two books and several scholarly papers.
Mark G. Kean is a senior lecturer in Quantitative Methods and Management at the School of Management, Boston University. He has attained ABD status toward a Doctorate in Business Administration from Boston University, from which he holds an MBA degree. Prior to his appointment at Boston University, he worked as a planner in the public housing sector. During his time at Boston University, he has received the Outstanding Doctoral-Student Teaching Award and the Beckwith Award for Teaching Excellence and Service to the Undergraduate Program.
Robert E. Maurer is Lecturer of Quantitative Methods at the School of Management, Boston University. He holds a Ph.D. in electrical engineering from Northeastern University and an MBA degree (Honors) from Boston University. He has held management positions in research, development, and manufacturing at AT&T Bell Laboratories where he was employed for thirty-five years, and consults in the application of quantitative methods to management problems. Dr. Maurer is a member of five academic honor societies and several academic advisory councils and is the author of several journal articles, co-author of another textbook, and the holder of two patents.
101 Special Practice Problems in Probability and Statistics, fourth edition, by Paul D. Berger, Samuel C. Hanna, Mark G. Kean, Robert E. Maurer. ISBN 978-09713130-7-1, 6" x 9", soft cover, 320 pages, tables, illustrations, index, accompanying mini-CD disk with data files.
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