• Demonstrate real world application of concepts
• Demonstrates actual engineering examples
• Uses real data and real engineering situations to motivate students
• Motivates students to learn new concepts and provides practical engineering examples 

Strong emphasis on data analysis and statistical inference, with a lesser focus on distributions and probability

• Provides the type of coverage most useful to engineering students
• Organized to become a useful reference text long into the student’s career

Now includes more comprehensive integration of PC-based statistics software

• MINITAB, the most widely used statistical packaged, is featured but other commercial packages can be easily used in conjunction with Engineering Statistics 4e providing the greatest flexibility for faculty and students
• All data sets are available from the book companion web site in several common formats offering the greatest ease of use in the classroom and for homework assignments

Strong focus on P-value approach to hypothesis testing including approximating and determining exact P-values using software tools

• Familiarizes students with practical approaches to engineering problems
• Teaches approximation, a tool practicing engineers frequently use 

Thorough, concise coverage of more advanced topics including regression modeling, design of experiments, and statistical process control

• Presents key material critical for all engineers

Lays the foundation for learning or self-learning more advanced