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Title: Solutions For The Data Rich And Analysis Poor
Author: D. Bruce Galloway, Jesus Urquijo
Source: 2004 Measurement Science Conference
Year Published: 2004
Abstract: No one wants to be data rich and analysis poor. This paper starts from the very basics of statistical theory and walks the reader through a process by which anyone can perform advanced analyses on test data. Armed with the theoretical background in descriptive statistics and characteristics of the normal curve, the paper takes a practitioner turn and shows how to apply these theoretical tools to answer questions about the sources of test data. Topics covered include testing for normality, prediction of defective product, agreement between different testers, relationships between variables, Statistical Process Control, Leiberman Statistical Control Limits, repeatability, and a brief application of hypothesis testing. Theres a concluding section that outlines an approach to getting your raw data into a format thats conducive to analysis.

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