PROBABILITY AND STATISTICS FOR ENGINEERS provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough an accessible modern framework that emphasizes the statistical thinking, data collection and analysis, decision-making, and process improvement skills that engineers need on a daily basis to solve real problems. The text continues to be driven by its hallmark array of engineering applications--thoroughly expanded and modernized for the 5th edition--which tackle timely, interesting, and illuminating scenarios that show students the rich context behind the concepts. Within the presentation of topics and applications the authors continually develop students' intuition for collecting their own real data, analyzing it with the latest graphical tools, and interpreting the results with a goal of improving quality control and problem-solving process. Students will not only gain solid understanding of concepts and their real-life practicality, but will learn to become active statistical practitioners for their own future careers.

Features：

　　．The text has a user-friendly and less formal empirical approach, consistently stressing quality improvement and real data collection and analysis to develop students' intuition for actively applying concepts to their careers.

　　．Examples and Exercises strongly highlight real-data engineering applications that capture the full depth and breadth of societal issues that engineers and scientists are called upon to solve.

　　．Graphical techniques such as stemplots, boxplots, and scatterplots are emphasized to build data analysis skills for identifying patterns in data and assessing the underlying assumptions.

　　．Use of statistical software packages is encouraged for easy handling of data when making inferences and building models. Downloadable datasets are available for all real data used in the book in native file formats for the most popular software packages.

　　．All essential traditional engineering statistics topics are covered, and presented concisely and to-the-point to effectively fit within a one-semester course. Instructors have flexibility to omit optional sections or place added emphasis on some topics to suit different course types and audiences.