Attribute Gage R&R - ASQ-1302

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Hierarchy of Data Types Nominal Ordinal Interval Ratio Classified Data Quantified Data DISCRETE / ATTRIBUTE Non-parametric CONTINUOUS / VARIABLE Parametric Copyright: JC Quality Business Solutions LLC
2 Main <strong>Attribute</strong> <strong>Gage</strong> R&R Types 1) Binary / Nominal – GO / NO GO – Data are Categorical and mutually exclusive – Kappa statistic is relevant 2) Ordinal – Rank, not categorical – Data are not mutually exclusive – Kendall’s statistic more relevant than Kappa Copyright: JC Quality Business Solutions LLC
Page 1 and 2: Attribute Gage R&R An Overview Pres
Page 3 and 4: My Attribute Gage R&R Experience
Page 5 and 6: So, Why Conduct a Gage R&R? • To
Page 7 and 8: Ultimate purpose of the Attribute A
Page 9 and 10: Precise, But Not Accurate Copyright
Page 11 and 12: Gage R&R Review • Measurement Sys
Page 13: • Nominal: - Literally, “name
Page 17 and 18: Kendall’s Statistics • Two diff
Page 19 and 20: Attribute Gage R&R Considerations
Page 21 and 22: • Ideally: Controlling MSA Factor
Page 23 and 24: Nominal / Binary Study • Two Appr
Page 25 and 26: Copyright: JC Quality Business Solu
Page 27 and 28: Output: Within vs. Standard Copyrig
Page 29 and 30: Output: Between Copyright: JC Quali
Page 31 and 32: Ordinal Case Study: Print Quality C
Page 33 and 34: How was it Done? • 10 samples, Go
Page 35 and 36: Spanish Version Copyright: JC Quali
Page 37 and 38: Trial Order My Checklist Copyright:
Page 39 and 40: Results Sample QA1-1 QA1-2 QA2-1 QA
Page 41 and 42: Results False Alarms Sample QA1-1 Q
Page 43 and 44: Check Here Copyright: JC Quality Bu
Page 49 and 50: Two Big Lessons • You can’t tru

Attribute Gage R&R - ASQ-1302

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