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Products Software UncertaintyAnalyzer 3.0 Software Comparison Type A Estimates
Type A Uncertainty Estimates |
A Type A uncertainty estimate is defined as an estimate obtained from a sample of data. Data sampling involves taking repeat measurements of the quantity of interest. For this estimate to be valid, it is important that each repeat measurement is independent, representative and taken randomly. Consequently, Type A estimates usually apply to the uncertainty in repeatability or random error.
A ü in the cell indicates that the particular capability or feature is available. Alternatively, a blank cell indicates that the capability or feature is not available. Comments and footnotes are included to clarify significant differences between software applications or to provide necessary details.
1 The mixed option allows for the use of a mean value computed from sample values combined with a user specified standard deviation and sample size obtained from a prior sample of data that characterizes the repeatability uncertainty of a measurement process. 2 Corrections for parameter bias and/or environmental factors can be applied to the sample mean by selecting check boxes. 3 Correction for thermal expansion is computed, but user must manually apply this value to sample mean. |
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Page Updated February 12, 2015