Introduction to engineering statistics [[electronic resource] /] / S.J. Morrison

• Record Nr.: UNINA9910455522103321
• Autore: Morrison S. J
• Pubbl/distr/stampa: Chichester, West Sussex, U.K. ; ; Hoboken, NJ, : Wiley, c2009
• ISBN: 1-282-69039-6; 9786612690396; 0-470-74643-2
• Descrizione fisica: 1 online resource (193 p.)
• Disciplina: 620.0072/7
• Soggetti: Engineering - Statistical methods; Engineering mathematics; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Statistics for Engineers an Introduction; Contents; About the Author; Foreword; Preface; Acknowledgements; 1 Nature of Variability; 2 Basic Statistical Methods; 2.1 Variance; 2.2 Divisor 'n' or 'n1'?; 2.3 Covariance and Correlation; 2.4 Normal Distribution; 2.5 Cumulative Frequency Distributions; 2.6 Binomial Distribution; 2.7 Poisson Distribution; 2.8 Chi-squared Distribution; Bibliography; 3 Production; 3.1 Sampling Inspection; 3.2 Control Charts; 3.3 Cusum Charts; 3.4 Significance Tests; 3.5 Analysis of Variance; 3.6 Linear Regression; Bibliography; 4 Engineering Design; 4.1 Variance Synthesis4.2 Factors of Safety; 4.3 Tolerances; 4.4 The Future; Bibliography; 5 Research and Development; 5.1 Design of Experiments; 5.2 Evolutionary Operation; 5.3 Multiple Regression; 5.4 More Statistical Methods; Bibliography; 6 Background; 6.1 Measurement; 6.2 Statistical Computing; Bibliography; 7 Quality Management; 7.1 Quality Planning; 7.2 Quality Organisation; 7.3 Directing the Quality Function; 7.4 Controlling the Quality Function; 7.5 Statistical Engineering; Bibliography; 8 Conclusion; Appendix A: Guidelines; Appendix B: Recommended Books; Appendix C: Periodicals; Appendix D: Supplementary BibliographyAppendix E: Statistical Tables; ; Index
• Sommario/riassunto: 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 t