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Sigma level (σ) Area under the probability density function Process yield Process fallout (in terms of DPMO/PPM) 0.33 1 0.3085375387 30.85% 691462 0.67 2 0.6914624613 69.15% 308538 1.00 3 0.9331927987 93.32% 66807 1.33 4 0.9937903347 99.38% 6209 1.67 5 0.9997673709 99.9767% 232.6 2.00 6 0.9999966023 99.99966%
GGT is also elevated in 30% of the hepatitis C patients. GGT can increase by 10 times in alcoholism. GGT can increase by 2 to 3 times in 50% of the patients with non-alcoholic liver disease. When GGT levels is elevated, the triglyceride level is elevated also. With insulin treatment, the GGT level can reduce.
Statistical process control defines techniques to properly differentiate between stable processes, processes that are drifting (experiencing a long-term change in the mean of the output), and processes that are growing more variable. Process capability indices are only meaningful for processes that are stable (in a state of statistical control).
Consider a quality characteristic with a target of 100.00 μm and upper and lower specification limits of 106.00 μm and 94.00 μm, respectively. If, after carefully monitoring the process for a while, it appears that the process is out of control and producing output unpredictably (as depicted in the run chart below), one can't meaningfully estimate its mean and standard deviation.
Blood alcohol content (BAC), also called blood alcohol concentration or blood alcohol level, is a measurement of alcohol intoxication used for legal or medical purposes. [1] BAC is expressed as mass of alcohol per volume of blood. In US and many international publications, BAC levels are written as a percentage such as 0.08%, i.e. there is 0.8 ...
A 95% confidence level does not mean that 95% of the sample data lie within the confidence interval. A 95% confidence level does not mean that there is a 95% probability of the parameter estimate from a repeat of the experiment falling within the confidence interval computed from a given experiment. [25]
In a significance test, the null hypothesis is rejected if the p-value is less than or equal to a predefined threshold value , which is referred to as the alpha level or significance level. α {\displaystyle \alpha } is not derived from the data, but rather is set by the researcher before examining the data.
The Weibull fit was originally used because of a belief that particle energy levels align to a statistical distribution, but this belief was later proven false [citation needed] and the Weibull fit continues to be used because of its many adjustable parameters, rather than a demonstrated physical basis. [32]