Applied Statistics And Probability For Engineers - Montgomery & Runger
This is an introductory textbook for a first course in applied statistics and probability for un-dergraduate students in engineering and the physical or chemical sciences. These individuals
play a significant role in designing and developing new products and manufacturing systems
and processes, and they also 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. Although many of the methods we
present are fundamental to statistical analysis in other disciplines, such as business and
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 students in
engineering and the chemical/physical sciences and will allow them to concentrate on the
many applications of statistics in these disciplines. We have worked hard to ensure that our ex-amples and exercises are engineering- and science-based, and in almost all cases we have used
examples of real data—either taken from a published source or based on our consulting expe-riences.
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. This book can be used for a single course, although we have provided enough mate-rial for two courses in the hope that more students will see the important applications of sta-tistics in their everyday work and elect a second course. We believe that this book will also
serve as a useful reference.
- author: Douglas C. Montgomery, George C. Runger
- publisher: John Wiley & Sons
- pages: 784
This is an introductory textbook for a first course in applied statistics and probability for un-dergraduate students in engineering and the physical or chemical sciences. These individuals
play a significant role in designing and developing new products and manufacturing systems
and processes, and they also 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. Although many of the methods we
present are fundamental to statistical analysis in other disciplines, such as business and
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 students in
engineering and the chemical/physical sciences and will allow them to concentrate on the
many applications of statistics in these disciplines. We have worked hard to ensure that our ex-amples and exercises are engineering- and science-based, and in almost all cases we have used
examples of real data—either taken from a published source or based on our consulting expe-riences.
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. This book can be used for a single course, although we have provided enough mate-rial for two courses in the hope that more students will see the important applications of sta-tistics in their everyday work and elect a second course. We believe that this book will also
serve as a useful reference.
