Statistical Methods in Engineering and Quality Assurance

✍ Scribed by Peter W. M. John(auth.)

• Year: 1990
• Tongue: English
• Leaves: 386
• Series: Wiley Series in Probability and Statistics
• Category: Library

✦ Synopsis

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):