Which statement best describes a Gage R&R study in practice?

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Gage R&R examines how much of the variation seen in measurements comes from the measurement system itself—the gauge and the person using it. It separates total variation into repeatability (differences when the same operator uses the same gauge to measure the same part) and reproducibility (differences when different operators use the same gauge). By collecting data from multiple parts, measured multiple times by one or more operators with the same gauge, and analyzing it (often with ANOVA), you can see how much variation is due to the gauge and the operator versus the parts themselves. The goal is to determine if the measurement system is reliable enough to distinguish real differences between parts. If most variation comes from the parts, the system is sound; if the gauge or operators introduce a lot of extra variation, calibration, training, or a different gauge may be needed. This concept isn’t about environmental effects, calibration curve creation, or service-event policies.