A measurement system analysis is designed to assess the statistical properties of Please choose the correct answer.

Question

Options

• Agage variation
• Bprocess performance
• Cprocess stability
• Dengineering tolerances

• A
  76% (28)
• B
  3% (1)
• C
  8% (3)
• D
  14% (5)

Explanation

Measurement System Analysis (MSA) is specifically designed to quantify and evaluate gage variation - the combined sources of variation introduced by the measurement system itself, including repeatability (same operator, same part) and reproducibility (different operators or conditions). MSA tools like Gage R&R studies partition observed variation into "variation from the measurement system" versus "variation from the actual parts/process," which is precisely gage variation.

• B (process performance) is wrong because process performance metrics (like Ppk) describe how well the process meets specifications - that's evaluated separately, after confirming the measurement system is trustworthy.
• C (process stability) is wrong because stability refers to whether a process stays consistent over time, assessed with control charts, not MSA.
• D (engineering tolerances) is wrong because tolerances are design-specified limits set by engineering, not a statistical property measured by an MSA study.

Memory tip: Think of MSA as a "calibration check on your calibration" - before you trust any data, you analyze the gage (measuring device) variation first. The acronym MSA → Measure the System's Accuracy can help you remember it targets the measurement system, not the process itself.

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