This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English.In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated.This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry.Inside, you will find coverage on:the nature of variability, describing the use of formulae to pin down sources of variation;engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product;production, discussing the use of control charts, and;management and training, including directing and controlling the quality function.The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context.Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products.Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.
Author(s): Jim Morrison
Edition: 1
Year: 2009
Language: English
Pages: 192
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;
Statistics for Engineers: An Introduction......Page 5
Contents......Page 7
About the Author......Page 9
Foreword......Page 11
Preface......Page 13
Acknowledgements......Page 15
1 Nature of Variability......Page 17
2.1 Variance......Page 25
2.2 Divisor ‘n’ or ‘n–1’?......Page 27
2.3 Covariance and Correlation......Page 29
2.4 Normal Distribution......Page 30
2.5 Cumulative Frequency Distributions......Page 34
2.6 Binomial Distribution......Page 36
2.7 Poisson Distribution......Page 41
2.8 Chi-squared Distribution......Page 42
Bibliography......Page 47
3 Production......Page 49
3.1 Sampling Inspection......Page 50
3.2 Control Charts......Page 53
3.3 Cusum Charts......Page 56
3.4 Significance Tests......Page 59
3.5 Analysis of Variance......Page 65
3.6 Linear Regression......Page 68
Bibliography......Page 73
4.1 Variance Synthesis......Page 77
4.2 Factors of Safety......Page 84
4.3 Tolerances......Page 85
4.4 The Future......Page 87
Bibliography......Page 88
5 Research and Development......Page 91
5.1 Design of Experiments......Page 92
5.2 Evolutionary Operation......Page 111
5.3 Multiple Regression......Page 112
5.4 More Statistical Methods......Page 127
Bibliography......Page 131
6.1 Measurement......Page 135
6.2 Statistical Computing......Page 137
Bibliography......Page 143
7.1 Quality Planning......Page 145
7.2 Quality Organisation......Page 151
7.3 Directing the Quality Function......Page 153
7.4 Controlling the Quality Function......Page 156
7.5 Statistical Engineering......Page 157
Bibliography......Page 158
8 Conclusion......Page 161
Appendix A: Guidelines......Page 163
Appendix B: Recommended Books......Page 167
Appendix C: Periodicals......Page 177
Appendix D: Supplementary Bibliography......Page 181
Appendix E: Statistical Tables......Page 187
Index......Page 189
