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6 sigma: A sample in which each sampling unit contains a pair of observations that are not independent of one another (e.g. sampling ages of husband and wife as a single sampling unit). |
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6 sigma: A type of hypothesis test used when analyzing the difference between the means obtained from paired samples. |
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TS 16949: Piece-to-piece variation due to measuring different parts. |
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MSA: It is the net effect of all significant and determinable sources of variation over time. Performances quantifies the long term assessment of combined measurement errors. |
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6 sigma: A capability index that measures the potential capability of a process to meet expected specification limits, or tolerance levels, in the long term, assuming the process is ideally centered (regardless of where the process is actually centered). |
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6 sigma: A capability index that measures the potential capability of a current process to meet expected specification limits, or tolerance levels, in the long term, using the current process average. |
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Minitab: Indicates how well the model predicts responses for new observations, whereas R2 indicates how well the model fits your data. Predicted R2 is between 0 and 1; larger values of predicted R2 suggest models of greater predictive ability. |
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Minitab: Prediction sum of squares; an assessment of your model's predictive ability. PRESS, similar to the residual sum of squares, is the sum of squares of the prediction error. |
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ISO 3534: Ensemble d'activités corrélées ou intéractives qui transforme des éléments d'entrée en éléments de sortie, |
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Minitab: The p-value is the probability of obtaining a test statistic that is at least as extreme as the actual calculated value, if the null hypothesis is true. A commonly used cut-off value for the p-value is 0.05. |
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ISO 3534-2:2006: : closeness of agreement between independent test results obtained under stipulated conditions Note 1 to entry: Precision depends only on the distribution of random errors and does not relate to the true value or the specified value. Note 2 to entry: The measure of precision is usually expressed in terms of imprecision and computed as a standard deviation of the test results. Less precision is reflected by a larger standard deviation. Note 3 to entry: Quantitative measures of precision depend critically on the stipulated conditions. Repeatability and reproducibility conditions are particular sets of extreme conditions. |