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Maintaining the reader-friendly features of its popular predecessor, the Second Edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting key concepts of statistical quality control in a simple and straightforward manner, this reference will provide a solid foundation in statistical quality control theory, background, and applications.
Moving from elementary topics to sampling by variables, sound tolerancing, and relationships between variables, this reference
List of contents
Why Statistics? Characteristics of Data and How to Describe Them. Simple Probability and Probability Distributions. Control Charts in General. Control Charts for Attributes. Control Charts for Measurements: Process Control. Process Capability. Further Topics in Control Charts and Applications. Acceptance Sampling for Attributes. Some Standard Sampling Plans for Attributes. Sampling by Variables. Tolerances for Mating Parts and Assemblies. Studying Relationships Between Variables by Linear Correlation and Regression. A Few Reliability Concepts. Appendix. Answers to Odd-Numbered Problems. Index.
About the author
John T. Burr
Summary
Maintaining the reader-friendly features of its popular predecessor, this second edition illustrates fundamental principles and practices in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business operations. Presenting the key concepts of statistical qual
