VII. Data Collection and Use
B. Data Use
1. Data summary and reporting (Create)
Examine collected data for accuracy and usefulness. Analyze, interpret, and summarize data for presentation using techniques such as trend analysis, Weibull, graphic representation etc., based on data types, sources, and required output.
Let’s get a bit more understanding of the data that has been gathered.
Additional References
Show me the data (article)
Quick Quiz
1-55. In analyzing field data or interval test data, a Weibull analysis is often performed. Effective use of this technique includes having a good estimate for which of the following?
(A) MTBF
(B) expected life
(C) the shape parameter
(D) the average quality of the production lots
(C) the shape parameter
Thre are two or three statistics determined during a Weibull analysis. The shape parameter estimated by the shape statistic, β; the scale parameter estimated by the scale statistic, η; and the (less commonly used or useful) location parameter, representing a failure free period, and represented with γ.
MTBF is the mean of the distribution or dataset and is not the same as the scale parameter unless the shape parameter is equal to 1. Expected life may be MTBF or mean, yet not part of a Weibull analysis.
Product quality is important and may be the subject or reason for doing Weibull analysis, yet is not directly a part of a Weibull analysis.
1-128. Normally, customer feedback and field data would not provide which of the following?
(A) information for the company’s management
(B) information for product improvement.
(C) information to enable management to allocate blame
(D) information for reliability performance measures
(C) information to enable management to allocate blame
While field data could help assign blame, it would be a mis-use of the information and generally considered not useful to solve problems, which lead to the field failures.
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