A study of the application of inferential statistical tests in quality control.
Written in 2007; 1,904 words; 4 sources; MLA; $ 60.95
Paper Summary:
The paper presents an examination of the proper application of statistical tests, the inferences drawn from those tests and the ramifications of the inferences on quality control. The paper discusses how quality control is important for manufacturing companies of any size and can provide explanations to business problems and deviations from standard performance. This paper offers an examination of a fictional scenario at a real manufacturing firm, Cannon Instruments, and incorporates appropriate strategies, techniques and actions taken by the organization to ensure that the company's product is of the highest possible quality. The paper concludes with relevant recommendations to the management of Cannon Instruments.
Outline:
Introduction and Background
The Company
Control Charts
Central Tendency
Levels of Measurement
Discussion and Interpretation
Conclusion
From the Paper:
"Cannon instruments was founded in 1938 by Dr. Michael R. Cannon. [4] Cannon is especially known for their glass viscometers. The viscometers are hand-blown by trained professionals, tested for quality on the premises, then packaged and shipped to the customers at point of sale. For the singular purpose of discussing the use of inferential statistics, we will be creating a fictional quality control problem for cannon, based upon the process of making and delivering glass viscometers. Since the process involves the manufacture and shipment of glass items, then two common problem areas are defects in manufacturing, and damage as a result of transport."
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