Description
Book SynopsisThis 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.
Trade Review"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." (Zentralblatt MATH, 1 August 2013)
"This is a timely text that helps to support the development of these important skills. Its no-nonsense and useful approach gives a flavour of the main statistical tools and techniques in basic language." (
Quality World, December 2009)
"It deserves to become a standard text to encourage the best in industrial practice." (Engineering & Technology, November 2009)
Table of ContentsAbout the Author vii
Foreword ix
Preface xi
Acknowledgements xiii
1 Nature of Variability 1
2 Basic Statistical Methods 9
2.1 Variance 9
2.2 Divisor ‘n’ or ‘n-1’? 11
2.3 Covariance and Correlation 13
2.4 Normal Distribution 14
2.5 Cumulative Frequency Distributions 18
2.6 Binomial Distribution 20
2.7 Poisson Distribution 25
2.8 Chi-squared Distribution 26
Bibliography 31
3 Production 33
3.1 Sampling Inspection 34
3.2 Control Charts 37
3.3 Cusum Charts 40
3.4 Significance Tests 43
3.5 Analysis of Variance 49
3.6 Linear Regression 52
Bibliography 57
4 Engineering Design 61
4.1 Variance Synthesis 61
4.2 Factors of Safety 68
4.3 Tolerances 69
4.4 The Future 71
Bibliography 72
5 Research and Development 75
5.1 Design of Experiments 76
5.2 Evolutionary Operation 95
5.3 Multiple Regression 96
5.4 More Statistical Methods 111
Bibliography 115
6 Background 119
6.1 Measurement 119
6.2 Statistical Computing 121
Bibliography 127
7 Quality Management 129
7.1 Quality Planning 129
7.2 Quality Organisation 135
7.3 Directing the Quality Function 137
7.4 Controlling the Quality Function 140
7.5 Statistical Engineering 141
Bibliography 142
8 Conclusion 145
Appendix A: Guidelines 147
Appendix B: Recommended Books 151
Appendix C: Periodicals 161
Appendix D: Supplementary Bibliography 165
Appendix E: Statistical Tables 171
Index 173
