Statistical Methods in Engineering and Quality Assurance Cover

Statistical Methods in Engineering and Quality Assurance

ISBN/ASIN: 9780471829867,9780470316825 | 1990 | English | pdf | 386/386 pages | 18.9 Mb
Author: Peter W. M. John(auth.)

Reflecting more than 30 years of teaching experience in the field, this guide provides engineers with an introduction to statistics and its applicability to engineering. Examples cover a wide range of engineering applications, including both chemical engineering and semiconductors. Among the topics featured are: quality assurance and statistics, continuous variables, hypothesis testing, comparative experiments, acceptance sampling, the analysis of variance, Taguchi and Orthogonal arrays. Tables, references and an index round out this work.Content:
Chapter 1 Quality Assurance and Statistics (pages 1–8):
Chapter 2 Descriptive Statistics (pages 9–28):
Chapter 3 Discrete Variables, or Attributes (pages 29–51):
Chapter 4 Continuous Variables (pages 52–71):
Chapter 5 The Normal Distribution (pages 72–87):
Chapter 6 Some Standard Statistical Procedures (pages 88–112):
Chapter 7 Hypothesis Testing (pages 113–128):
Chapter 8 Comparative Experiments (pages 129–143):
Chapter 9 Quality Control Charts (pages 144–163):
Chapter 10 Control Charts for Attributes (pages 164–176):
Chapter 11 Acceptance Sampling I (pages 177–188):
Chapter 12 Acceptance Sampling II (pages 189–202):
Chapter 13 Further Topics on Control Charts (pages 203–216):
Chapter 14 Bivariate Data: Fitting Straight Lines (pages 217–242):
Chapter 15 Multiple Regression (pages 243–263):
Chapter 16 The Analysis of Variance (pages 264–283):
Chapter 17 Design of Experiments: Factorial Experiments at Two Levels (pages 284–310):
Chapter 18 Design of Experiments: Factorial Experiments at Several Levels (pages 311–332):
Chapter 19 Taguchi and Orthogonal Arrays (pages 332–346):

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