BALANCED, MODERN APPROACH
• Balanced discussion of both frequentist and Bayesian methodologies.
• Discussion of Markov chain simulation methods incorporated directly into the presentation of probability.
• Integrated discussion of Monte Carlo techniques.
EMPHASIS ON MODEL CHECKING
• A separate chapter is devoted to this topic and its importance for statistical practice is emphasized.
INTEGRATION OF STATISTICAL SOFTWARE
• Computer Exercises and Computer Problems require students to use statistical software to derive solutions.
• Contains a Computations Appendix with both R code and Minitab code for computations that are more advanced.
PEDAGOGICAL FEATURES
• Exercises in each section (suitable for all students) give practice in applying concepts.
• Problems that require a deeper level of thinking.
• Challenges are the most difficult and are provided for students who master the Exercises and Problems.
• Discussion Topics help students develop critical thinking skills by asking them to explore the issues that arise when probabilistic and statistical concepts are applied in real-world contexts.