Statistics and data analysis are used in the Six Sigma process to identify and minimise errors or flaws. This approach aims to decrease manufacturing faults to no more than 3.4 defects per million units or events while increasing cycle times.

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By lowering the likelihood of error, the Six Sigma collection of management tools and procedures is intended to increase the capability of the business process. Six sigma is a data-driven strategy that employs statistical methods for defect eradication, defect reduction, and revenue growth.