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Z-scores serve a crucial part in Lean Six Sigma by providing a normalized measure of how far a data point departs from the mean. Essentially, they transform raw data into comparable units, allowing for accurate analysis and decision-making. A positive Z-score indicates a value above the mean, while a negative Z-score reveals a value below the mean.

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