Designing and analyzing experiments are critical elements in the study of statistics. If either piece is incomplete, the results are questionable. This text directs learners through the steps of designing a sound experiment and through several common, and some not so common, analytical techniques. This textbook explores the various parts of experiments, from populations and samples, to sampling methods, to potential biases. Then learners are presented with the fundamental one-factor analyses involving t-tests. After this foundational element, the textbook explores several types of analysis of variance (ANOVA) designs, including one and two-way ANOVA, factorial, and hierarchical designs. This textbook equips learners with knowledge and skills needed to design, analyze, and interpret all sorts of experiments on their own.