This PPT slide, part of the 62-slide Six Sigma - Measurement Systems Analysis PowerPoint presentation, presents an analysis of an Attribute Gage R&R (Repeatability and Reproducibility) study, focusing on assessment agreement both within individual appraisers and between multiple appraisers. The section titled "Within Appraisers" details how each appraiser's assessments compare to their own previous evaluations. For example, Appraiser 1 inspected ten samples and matched eight, resulting in an agreement percentage of 80%. The confidence interval (CI) for this appraiser ranges from 44.39% to 97.48%. Appraiser 2 achieved a perfect agreement of 100%, while Appraiser 3 had a 90% agreement with a CI of 55.50% to 99.75%. These statistics indicate the level of consistency each appraiser has with their own assessments.
The "Fleiss' Kappa Statistics" section provides a deeper statistical analysis of the appraisers' responses. Kappa values are calculated for each appraiser, indicating the degree of agreement beyond chance. For instance, Appraiser 1 has a Kappa of 0.58333, suggesting moderate agreement, while Appraiser 2's perfect agreement yields a Kappa of 1.00000. The standard error (SE) and Z-values further support the reliability of these findings.
The "Between Appraisers" section shifts focus to the agreement among all appraisers. Here, it notes that out of ten inspected samples, only 6 were matched, resulting in a 60% agreement rate with a CI of 26.24% to 87.84%. This highlights potential discrepancies in assessments across different appraisers, emphasizing the need for further investigation into the consistency of evaluations. Overall, the slide underscores the importance of understanding both individual and collective assessment reliability in measurement systems analysis.
This slide is part of the Six Sigma - Measurement Systems Analysis PowerPoint presentation.
Developed by a Senior Executive and Operational Excellence Coach with experience at organizations including NOKIA, MICROVENTION, and MAGELLAN, this presentation covers the key topics of a Measurement Systems Analysis (MSA).
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