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Z-scores play a crucial function in Lean Six Sigma by providing a consistent measure of how far a data point resides from the mean. Essentially, they transform raw data into comparable more info units, allowing for accurate analysis and problem-solving. A positive Z-score points to a value above the mean, while a negative Z-score signifies a value

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. Embracing Six Sigma involves five key phases: Define, Measure, Analyze, Improve, and Control (DMAIC). These phases guide organizations in identifying problems

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