Probability and Statistics for Engineers and Scientists
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Illustrates the use of probabilistic models and statistical methodology for applications in science and engineering. Emphasizing methodology, while not entirely neglecting theory, chapters introduce students to random variables and probability distributions, discrete and continuous probability distributions, functions of random variables, sampling distributions and data descriptions, one- and two-sample estimation problems, simple linear regression and correlation, multiple linear regression, certain nonlinear regression models, multiple factorial experiments, nonparametric statistics, and statistical quality control. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Preface1Introduction to Statistics and Data Analysis12Probability93Random Variables and Probability Distributions514Mathematical Expectation845Some Discrete Probability Distributions1146Some Continuous Probability Distributions1437Functions of Random Variables1808Random Sampling, Data Description, and Some Fundamental Sampling Distributions1989One- and Two-Sample Estimation Problems23810One- and Two-Sample Tests of Hypotheses29011Simple Linear Regression and Correlation35812Multiple Linear Regression40513One-Factor Experiments: General46114Factorial Experiments527152[superscript k] Factorial Experiments and Fractions55916Nonparametric Statistics60917Statistical Quality Control635Bibliography667Appendix: Statistical Tables671Answers to Odd-Numbered Exercises723Index737
