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Z-scores play a crucial role 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 understandable units, allowing for precise analysis and problem-solving. A positive Z-score suggests a value above the mean, while a negative Z-score reveals a value below the mean

Six Sigma is an data-driven approach to process improvement. It focuses on reducing defects and variation in processes by using statistical methods and a structured problem-solving framework. Achieving Six Sigma involves five key phases: Define, Measure, Analyze, Improve, and Control (DMAIC). These phases guide organizations in identifying problems

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