The Basic Practice of Statistics

Table of Contents:
PART I Picturing Distributions with Graphs Describing Distributions with Numbers The Normal Distributions Scatterplots and Correlation Regression Two-Way Tables Exploring Data: Part I Review PART II: FROM EXPLORATION TO INFERENCE Producing Data: Sampling Producing Data: Experiments Introducing Probability Sampling Distributions General Rules of Probability Binomial Distributions Confidence Intervals: The Basics Tests of Significance: The Basics Inference in Practice From Exploration to Inference: Part II Review PART III: INFERENCE ABOUT VARIABLES Inference about a Population Mean Two-Sample Problems Inference about a Population Proportion Comparing Two Proportions Inference about Variables: Part III Review PART IV: INFERENCE ABOUT RELATIONSHIPS Two Categorical Variables: The Chi-Square Test Inference for Regression One-Way Analysis of Variance PART V: OPTIONAL COMPANION CHAPTERS (available online) Nonparametric Tests Statistical Process Control Multiple Regression More about Analysis of Variance

About the Author :
DAVID S. MOORE is the Shanti S. Gupta Distinguished Professor of Statistics at Purdue University, USA. He has written many research papers in statistical theory and served on the editorial boards of several major journals. 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 Programme Director for Statistics and Probability at the National Science Foundation and was the 1998 President of the American Statistical Association. WILLIAM I. NOTZ is Professor of Statistics at the Ohio State University, USA.His first academic job was as an assistant professor in the Department of Statistics at Purdue University where he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is also a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises). Professor Notz's research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University's Alumni Distinguished Teaching Award. MICHAEL A. FLIGNER is Professor Emeritus at the Ohio State University, where he also was Vice Chair of the Department for over 10 years and served as Director of the Statistical Consulting Service. He has done consulting work with several large corporations in Central Ohio. Professor Fligner's research interests are in Nonparametric Statistical methods and he received the Statistics in Chemistry award from the American Statistical Association for work on detecting biologically active compounds. He received a Fulbright scholarship under the American Republics Research program to work at the Charles Darwin Research Station in the Galapagos Islands. He has been an Associate Editor of the Journal of Statistical Education.