David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University, USA, 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 has also served as president of the International Association for Statistical Education and has received the Mathematical Association of America's national award for distinguished college or university teaching of mathematics. George P. McCabe is Associate Dean for Academic Affairs and Professor of Statistics at Purdue University, USA. His entire professional career has been spent at Purdue, with sabbaticals at Princeton, the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Melbourne, Australia, the University of Berne, Switzerland, the National Institute of Standards and Technology (NIST) in Boulder, Colorado, USA, and the National University of Ireland in Galway. He is an elected fellow of the American Statistical Association and was 1998 chair of its section on Statistical Consulting. He has served on the editorial boards of several statistics journals. He has consulted with many major corporations and has testified as an expert witness on the use of statistics in several legal cases. Bruce A. Craig is Professor of Statistics and Director of the Statistical Consulting Service at Purdue University, USA (following George McCabe). He received his B.S. in mathematics and economics from Washington University in St. Louis and his PhD in statistics from the University of Wisconsin-Madison. Professor Craig's research interests focus on the development of novel statistical methodology to address research questions in the life sciences. These strong academic research credentials combine with his many years of teaching statistics at all level to provide the academic experience and contemporary real data that lecturers have grown to expect in this textbook.
1. Looking at Data - Distributions 2. Looking at Data - Relationships 3. Producing Data 4. Probability: The Study of Randomness 5. Sampling Distributions 6. Introduction to Inference 7. Inference for Distributions 8. Inference for Proportions 9. Analysis of Two-Way Tables 10. Inference for Regression 11. Multiple Regression 12. One-Way Analysis of Variance 13. Two-Way Analysis of Variance Optional Companion Chapters (available at www.whfreeman.com/ips8e) 14. Logistic Regression 15. Nonparametric Tests 16. Bootstrap Methods and Permutation Tests 17. Statistics for Quality: Control and Capability