Sweeney, Dennis;Williams, Thomas;Freeman, James

1.Data and Statistics2.Descriptive Statistics: Tabular and Graphical Presentations3.Descriptive Statistics: Numerical Measures4.Introduction to Probability5.Discrete Probability Distributions6.Continuous Probability Distributions7.Sampling and Sampling Distributions8.Interval Estimation9.Hypothesis Tests10.Statistical Inference about Means and Proportions with Two Populations11.Inferences about Population Variances12.Tests of Goodness of Fit and Independence13.Experimental Design and Analysis of Variance14.Simple Linear Regression15.Multiple Regression16.Regression Analysis: Model Building17.Time Series Analysis and Forecasting18.Non-Parametric MethodsAppendix AAppendix BGlossary Index

Sweeney, Dennis
Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He 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. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.Williams, Thomas
Thomas A. Williams is Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams 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 programme in Information Systems. At RIT he was the first chair of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. Professor Williams is the co-author 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 and has worked on projects ranging from the use of elementary data analysis to the development of large-scale regression models.