Front Matter; Overview; Mathematics and Its Applications; The Evolution of Natural Scientists and Their Theories; Law and Learning; Introduction to Probability; The Fair Betting Utility Interpretation of Probability; Attitudes Toward Chance; A Framework for Statistical Evidence; A Critique of Bayesian Inference; The Long-Run Consequence of Behavior; A Critique of p -Values; The Nature of Statistical Evidence; The Science of Statistics; Comparison of Evidential Theories; Back Matter
Summary
Discussing whether statistical methods make sense, this book interprets and explains several theories of statistical evidence. It explains the senses in which Bayesian statistics and p-values allow us to draw conclusions. It is useful for anyone interested in the logic of experimental science
Bibliography
Includes bibliographical references (pages 143-147) and indexes
