Six-sigma is a quality control program that strives for less than 3.4 defects in a million opportunities; or near perfection. In statistics, sigma represents areas under a bell curve (similar to IQ normal curves). If all defects fall outside the shaded area (outside three sigma on either side, where the center is perfect and all shaded areas are acceptable) there is very little shaded area (defects) left.
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sigma represents standard deviation. In a normal distribution, +/- 1 sigma from the mean, for instance, corresponds to approximately 67% of the area under the normal distribution. +/- 2 sigma corrresponds to 95% of the area and +/- 3 sigma from the mean corresponds to 99% of the area under a normal distribution. The area that is covered under +/- six sigma from the mean corresponds to nearly 100% -- that is, the part of the area NOT under that +/- 6 sigma is in the 10^-15 range or 1/1,000,000,000,000,000. The six sigma name borrows from this to suggest that the method gives this degree of certainty: that in 999,999,999,999,999 in 1,000,000,000,000,000 cases the result will be predictable. It does nothing, however, to explain how an agricultural process management methodology applies to other fields.
In Six Sigma, "sigma" is actually a statistical measure of standard deviation. It represents how far a process is from perfect. Six Sigma seeks to have minimal defects and variations while achieving near-perfect quality with a mere 3.4 defects per million opportunities. Start your certification path today! Visit iCert Global and apply code LIVE10 for an instant 10% off your course.
If Six Sigma = 0.999999, then in percentage terms that would be 99.9999%.
3 Sigma is 66800 defects per million pieces 6 Sigma is 3-4 defects per million pieces You can check out the number of defective pieces per million & the % accuracy for all Sigma levels in the six sigma conversion chart in the related links section
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