## A First Course in Quality Engineering: Integrating Statistical and Management Methods of QualityThis volume contains virtually all the information an engineer would need to function as a quality engineer. The author covers management methods and statistical methods of quality in an integrative manner – unlike other books on the subject, which focus primarily on one of the two areas of quality. Illustrates the use of quality methods with many real world examples drawn from the author’s consulting work. Helps students understand and solve real problems with mini projects throughout. Uses a reader-friendly writing style that makes material more approachable and encourages self-study. Covers the must-know fundamentals of probability and statistics in one chapter (Chapter 2). Makes extensive use of computer software to illustrate the use of computer in solving quality problems. A useful reference for engineers and technical personnel in industry wanting to learn the tools of quality; also for candidates preparing for the exams to qualify as a certified quality engineer (CQE) of the Am. Soc. Of Quality . |

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### Contents

X | 35 |

Statistics for Quality | 43 |

Mathematical Models for Describing Populations | 59 |

Copyright | |

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### Common terms and phrases

3-sigma limits A'-chart analysis assignable causes average calculated changes Chapter computed confidence intervals continuous random variable control chart control limits customer satisfaction Deming design features discrete random variable effect employees engineering error estimate evaluated EWMA chart example experiment exponential distribution factors failure costs failure rate FMEA formulas frequency function given goals histogram inspection instrument interaction internal failure measure measurement system analysis ment methods Minitab needs normal distribution number of defectives observed value obtained OC curve operators organization P-chart performance plot population probability problem process capability process control process mean process variables quality cost quality management system random variable reliability requirements response ri ri ri sample space sampling plans Shewhart shown in Figure shows Six Sigma Solution spec specifications standard deviation subgrouping supplier Table tap-out target test statistic tion tolerance treatment combinations units