Many of the concepts & terminology surrounding modern causal inference can be quite intimidating to the novice Judea Pearl presents a book ideal for beginners in statistics providing a comprehensive introduction to the field of causality Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data Causal methods are also compared to traditional statistical methods whilst questions are provided at the end of each section to aid student learning