Content and Approach Real data in the examples and exercises provide practical and relevant ways for students to connect concepts to situations they will encounter outside the classroom. Probability theory is included only to support statistics concepts. Students are taught to recognise the importance of an analysis that is appropriate for the research question to be answered, for the statistical design of the study, and for the nature of the underlying distributions. Students are led to recognise the impact on real research of design concepts such as random sampling, randomisation, efficiency, and the control of extraneous variation by blocking or adjustment. The text concludes with a summary of all of the inference methods presented in the book and provides exercises that require students to apply all of what they have learned. NEW! Randomisation methods have been added at the beginnings of Chapters 7, 8, 10, 11, and 12 to introduce or motivate most inference procedures in the text.   Structured to Foster Success Exercises are designed to focus students’ attention on concepts and interpretations rather than on computation. While statistical software is not required to use this text, there are ample opportunities for students to implement the statistical methods learned using any statistical software package of their choosing. Electronic data files are provided for most examples and exercises.  NEW! Unit Highlights provide a chance for students to connect ideas across multiple chapters. They include reflections, summaries, additional examples, and exercises.