Many new examples on important current engineering and scientific data further strengthen the text’s orientation towards an applications-based introduction to statistics. Added graphs illustrating P-values appear in several examples along with an interpretation. More details about using R commands make it easy for students to check calculations on their own laptop or tablet, while reading an example. Key formulas are stressed and calculation formulas are downplayed. Computation formulas are set in the context of an application which only requires all, or mostly all, integer arithmetic, and now appear only at the end of sections. Students can then check their results with their choice of software. All examples are now numbered within each chapter. New data-based exercises feature real applications to help stimulate interest and strengthen a student’s appreciation of the role of statistics in engineering applications. Content highlights: A section on graphic presentation of 22 and 23 designs includes coverage of (i) systematically varying several input variables at a time and (ii) how to interpret interactions. This serves as a stand-alone introduction to the design of experiments for those instructors who can only devote two or three lectures to the subject.