This calculus-based book presents a blend of theory and application. It focuses on inference making as the goal of studying probability and statistics, and features an emphasis on real-life applications of the mathematically divided techniques. Exercises based on documented data sets and other realistic experimental situations motivate the theoretical foundation. Updated and expanded coverage includes: the negative binomial probability distribution (optional); and explicit models for the analysis of variance of completely randomized block designs.