Applied Statistics and Probability for Engineers

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 andmanagement, 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 exe cises 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.

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

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