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เนื้อหาย่อ : American industry must continue to improve the quality of its products and services if it is to continue to compete effectively in both domestic and world markets. A significant portion of this quality improvement effort will be driven by engineers and scientists, because these are the individuals who design and develop new products and manufacturing systems and processes, and who improve existing systems. Statistical methods are an important tool in these activities because they provide the engineer with both descriptive and analytical methods for dealing with the variability in observed data. This is an introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. While many of the methods we present are fundamental to statistical analysis in other disciplines, such as business or management, the life sciences and the social sciences, we have elected to focus on an engineering-oriented audience. We believe that this approach will best serve engineering students and allow them to concentrate on the many applications of statistics in these disciplines. We have worked hard to ensure that all of our examples and exercises are engineering-based, and in almost all cases we have used examples of real data--either taken from a published source or based on our consulting experiences. We believe that engineers in all disciplines should take at least one course in statistics. Unfortunately, because of other requirements, most engineers will only take one statistics course. We have written this book so that it could be used for a single course, although we have provided enough material for two courses in the hope that more engineering students will see the important applications of statistics in their everyday work and elect a second course. We believe that this book will also serve as a useful reference. ORGANIZATION OF THE BOOK We have retained the relatively modest mathematical level of the first edition. We have found that engineering students who have completed one or two semesters of calculus