The Study Guide provides the student with significant supplementary study materials. For each chapter, it contains key concepts, review materials, example problems worked out in full detail, exercises with answers, and self-test questions with answers.
Product dimensions: 8.50 (w) x 10.80 (h) x 0.80 (d)
Meet the Author
Dr. David R. Anderson is a textbook author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. He has served as head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. He was also coordinator of the College's first Executive Program. In addition to introductory statistics for business students, Dr. Anderson has taught graduate-level courses in regression analysis, multivariate analysis, and management science. He also has taught statistical courses at the Department of Labor in Washington, D.C. Professor Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the coauthor of ten textbooks related to decision sciences and actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, he earned his BS, MS, and PhD degrees from Purdue University.
Dr. Dennis J. Sweeney is a textbook author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He also served five years as head of the Department of Quantitative Analysis and four years as Associate Dean of the College of Business Administration. In addition, he has worked in the management science group at Procter & Gamble and has been a visiting professor at Duke University. Professor Sweeney has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger, and Cincinnati Gas & Electric have funded his research, which has been published in MANAGEMENT SCIENCE, OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING, DECISION SCIENCES, and other journals. Dr. Sweeney is the coauthor of ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. Born in Des Moines, Iowa, he earned a BS degree from Drake University, graduating summa cum laude. He received his MBA and DBA degrees from Indiana University, where he was an NDEA Fellow.
Dr. Thomas A. Williams is a textbook author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology, where he was the first chair of the Decision Sciences Department. Before joining RIT, he served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate program in Information Systems. Dr. Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models. Born in Elmira, New York, he earned his BS degree at Clarkson University and his MS and PhD at Rensselaer Polytechnic Institute.
Preface: An Introduction to the Use of the Study Guide 1
Data and Statistics 3
Descriptive Statistics: Tabular and Graphical Presentations 19
Descriptive Statistics: Numerical Methods 53
Introduction to Probability 85
Discrete Probability Distributions 111
Continuous Probability Distributions 137
Sampling and Sampling Distributions 155
Interval Estimation 177
Hypothesis Testing 193
Comparisons Involving Means 217
Comparisons Involving Proportions and a Test of Independence 245
Simple Linear Regression 265
Multiple Regression 297
Statistical Methods for Quality Control 319