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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000000090070 | TS156.M54 1995 | Open Access Book | Book | Searching... |
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Summary
Summary
A textbook for a one-semester survey course or a two-semester detailed course for undergraduates in engineering or business management. Focuses on the few statistical methods most used in practice, based on the observation that professionals soon forget the others anyway. Some familiarity with calculus is assumed, but the few formulas with calculus notation could be described verbally instead. Annotation c. by Book News, Inc., Portland, Or.
Reviews 1
Choice Review
The Millers' excellent and very thorough introductory statistical methods book for quality improvement is specifically designed for students in business management and engineering. It can be used either as a reference book in courses where only the essentials are covered, or to add dimension to a fuller treatment of its topics. The authors believe that more attention should be given to teaching the tools of modern quality practice, especially at the undergraduate level. It is not uncommon for engineers or managers to forget many of the statistical tools learned as undergraduates, so this book concentrates specifically on those that are most frequently used in quality. In addition, nonstatistical materials relating to quality have also been included. The authors believe that engineers, managers, and others will retain more of the tools of quality if they are taught methodologically, not theoretically. There are numerous problems and exercises throughout; topics include probability distributions, sampling, statistical process control, regression analysis, design of experiments, and reliability. Highly recommended. Undergraduate; faculty; professional. D. J. Gougeon; University of Scranton
Table of Contents
| 1 Introduction |
| 2 Quality |
| 3 Data Analysis |
| 4 Probability Distributions |
| 5 The Normal Distribution |
| 6 Drawing Inferences from Samples |
| 7 Regression Analysis |
| 8 Design of Experiments |
| 9 Statistical Process Control |
| 10 Reliability |
| Appendix A Statistical Tables |
| Appendix B Bibliography |
| Answers to Odd-Numbered Exercises |
| Index |
