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MSA for Discrete Data is an experiment designed to assess various elements of discrete or attribute data collection including the definition of the “standard” or reference, i.e. “good,” “pass,” or “fail” and whether or not the operators interpret the standard the same way. These tests determine the level of defects and variation within the data collection process itself.

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