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Estimating Sources of Variation: A Case Study from Polyurethane Product Research

Summary: [This abstract is based on the authors' abstract.] A case study is presented from polyurethane product research. It demonstrates the need for true replicate samples when sample-to-sample variation is not known. A first-pass analysis of an additive effect on a particular polyurethane microstructure was inconclusive for the data set examined. However, the additive effect was significant once replicate samples were made, analyzed, and included in the statistical analysis. The combination of additive levels, replicate samples, and replicate analysis was set into a nested design experiment. This allowed quantification of the different sources of variation and provided insights for planning future experiments.

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  • Topics: Sampling, Design of Experiments, Data Quality
  • Keywords: Case study,Variance (statistics),Sampling,Replication,Nested experiments,Data analysis,Design of experiments (DOE),Measurement error
  • Author: Heaney, Michael D.; Lidy, Werner A.; Rightor, Edward G.; Barnes, C. Glenn
  • Journal: Quality Engineering