The Practice of Statistics for Business and Economics

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation. He is the author of influential articles on statistics education and of several leading texts. George P. McCabe is the Associate Dean for Academic Affairs in the College of Science and a Professor of Statistics at Purdue University. Professor McCabe is an elected fellow of the American Association for the Advancement of Science and of the American Statistical Association. He has served on the editorial boards of several statistics journals, has consulted with many major corporations, and has testified as an expert witness on the use of statistics. Layth C. Alwan in Associate Professor of Business Statistics and Operations Management, Sheldon B. Lubar School of Business, University of Wisconsin–Milwaukee. Professor Alwan is an author of many research articles related to statistical process control and business forecasting. He has consulted for many leading companies on statistical issues related to quality, forecasting, and operations/supply chain management applications. He is the recipient of several teaching awards, including Business School Teacher of the Year and Executive M.B.A. Outstanding Teacher of the Year. Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University. He is an active member of the American Statistical Association and was chair of its section on Statistical Consulting in 2009. Professor Craig has served on the editorial board of several statistical journals and has been a member of several data and safety monitoring boards, including Purdue's IRB.

1. Examining Distributions.- 2. Examining Relationships.- 3. Producing Data.- 4. Probability: The Study of Randomness.- 5. Distributions for Counts and Proportions.- 6. Introduction to Inference.- 7. Inference for Distributions.- 8. Inference for Proportions.- 9. Inference for Categorical Data.-10. Inference for Regression.- 11. Multiple Regression.- 12. Statistics for Quality: Control and Capability.- 13. Time Series Forecasting.- 14. One-Way Analysis of Variance.- 15. Two-Way Analysis of Variance.- 16. Nonparametric Tests.- 17. Logistic Regression.