Table of Contents

PART I: EXPLORING DATA Exploring Data: Variables and Distributions Picturing Distributions with Graphs Describing Distributions with Numbers The Normal Distributions Exploring Data: Relationships Scatterplots and Correlation Regression Two-Way Tables Exploring Data: Part I Review PART II: FROM EXPLORATION TO INFERENCE Producing Data Producing Data: Sampling Producing Data: Experiments Commentary: Data Ethics Probability and Sampling Distributions Introducing Probability Sampling Distributions General Rules of Probability Binomial Distributions Foundations of Inference Introduction to Inference Thinking About Inference From Exploration to Inference: Part II Review PART III: INFERENCE ABOUT VARIABLES Quantitative Response Variable Inference About a Population Mean Two-Sample Problems Categorical Response Variable Inference About a Population Proportion Comparing Two Proportions Inference About Variables: Part III Review PART IV: INFERENCE ABOUT RELATIONSHIPS Inference About Relationships Two Categorical Variables: The Chi-Square Test Inference for Regression One-Way Analysis of Variance: Comparing Several Means PART V: OPTIONAL COMPANION CHAPTERS Nonparametric Tests Statistical Process Control Multiple Regression Two-Way Analysis of Variance

About the Author

DAVID S. MOORE is Shanti S. Gupta Distinguished Professor of Statistics at Purdue University, USA. He received his BA from Princeton (1962), USA and PhD from Cornell (1967), USA, both in Mathematics. 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. He was the 1998 President of the American Statistical Association.