Attribute Gage R&R - ASQ-1302

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<strong>Attribute</strong> vs. Continuous • <strong>Attribute</strong> Data: –Categorical, named only, arbitrary scales –Also known as Discrete Data • Continuous Data: –Allows for infinitely finer sub-divisions –Also known as Variables Data Copyright: JC Quality Business Solutions LLC
• Nominal: – Literally, “name” – Represents categories • Ordinal: – Ordered or ranked data – Not scaled Basic Data Types • Interval: – Measured / scaled data: Each position equidistant – 0 can be relevant (temperature) • Ratio: – Numbers compared as multiples of one another 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: Gage R&R Review • Measurement Sys
Page 15 and 16: 2 Main Attribute Gage R&R Types 1)
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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