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  2. Instrument error - Wikipedia

    en.wikipedia.org/wiki/Instrument_error

    If the users know the amount of the systematic error, they may decide to adjust for it manually rather than having the instrument expensively adjusted to eliminate the error: e.g. in the above example they might manually reduce all the values read by about 4.8%.

  3. Observational error - Wikipedia

    en.wikipedia.org/wiki/Observational_error

    العربية; Беларуская; Беларуская (тарашкевіца) Български; Català; Чӑвашла; Čeština; Deutsch; Ελληνικά

  4. Laboratory quality control - Wikipedia

    en.wikipedia.org/wiki/Laboratory_quality_control

    An example of a Levey–Jennings chart with upper and lower limits of one and two times the standard deviation. A Levey–Jennings chart is a graph that quality control data is plotted on to give a visual indication whether a laboratory test is working well. The distance from the mean is measured in standard deviations.

  5. Experimental uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Experimental_uncertainty...

    The form of Eq(12) is usually the goal of a sensitivity analysis, since it is general, i.e., not tied to a specific set of parameter values, as was the case for the direct-calculation method of Eq(3) or (4), and it is clear basically by inspection which parameters have the most effect should they have systematic errors. For example, if the ...

  6. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  7. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    The statistical errors, on the other hand, are independent, and their sum within the random sample is almost surely not zero. One can standardize statistical errors (especially of a normal distribution ) in a z-score (or "standard score"), and standardize residuals in a t -statistic , or more generally studentized residuals .

  8. Far-left Antifa activists waiting to see Trump actions. How ...

    www.aol.com/far-left-antifa-activists-waiting...

    Anti-fascists stressed that random, or even targeted, acts of violence — especially mass violence — simply aren’t in the tactics used by their movement. Mass shootings and bombings are the ...

  9. Accuracy and precision - Wikipedia

    en.wikipedia.org/wiki/Accuracy_and_precision

    While precision is a description of random errors (a measure of statistical variability), accuracy has two different definitions: More commonly, a description of systematic errors (a measure of statistical bias of a given measure of central tendency, such as the mean). In this definition of "accuracy", the concept is independent of "precision ...