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Applied Statistics and Probability for Engineers, 3rd Edition – Douglas C. Montgomery

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. 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 ex­amples 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 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. This book can be used for a single course, although we have provided enough mate­rial for two courses in the hope that more 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.

Contents:

Chapter 1. The Role of Statistics in Engineering
Chapter 2. Probability
Chapter 3. Discrete Random Variables and Probability Distributions
Chapter 4. Continuous Random Variables and Probability Distributions
Chapter 5. Joint Probability Distributions
Chapter 6. Random Sampling and Data Description
Chapter 7. Point Estimation of Parameters
Chapter 8. Statistical Intervals for a Single Sample
Chapter 9. Tests of Hypotheses for a Single Sample
Chapter 10. Statistical Inference for Two Samples
Chapter 11. Simple Linear Regression and Correlation
Chapter 12. Multiple Linear Regression
Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance
Chapter 14. Design of Experiments with Several Factors
Chapter 15. Nonparametric Statistics
Chapter 16. Statistical Quality Control
Appendices

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