Editing 1781: Artifacts
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An example of an error artifact is the measurement of the force between two charged metal spheres ({{w|Coulomb force}}), where the potential of unearthed nearby objects influences the measurement, thus causing an artifact. Artifacts have been mentioned before in xkcd, as in [[1453: fMRI]], where getting into the MRI machine induced unintended effects, such as thoughts of claustrophobia. | An example of an error artifact is the measurement of the force between two charged metal spheres ({{w|Coulomb force}}), where the potential of unearthed nearby objects influences the measurement, thus causing an artifact. Artifacts have been mentioned before in xkcd, as in [[1453: fMRI]], where getting into the MRI machine induced unintended effects, such as thoughts of claustrophobia. | ||
β | The title text refers to the entire data set being "outliers." In statistics, an outlier is an observation point that is distant from other observations. One way to have a data set composed entirely of outliers would be a data set with N points, in | + | The title text refers to the entire data set being "outliers." In statistics, an outlier is an observation point that is distant from other observations. One way to have a data set composed entirely of outliers would be a data set with N points, in an N-dimentional space, where each point is zero for every dimension except one, unique to itself.[http://math.stackexchange.com/questions/1302395/n-points-can-be-equidistant-from-each-other-only-in-dimensions-ge-n-1] All these points are equidistant from each other. |
We could also infer that the accusation is a jab at the fact that the data points are all over the place; a good example of such chaotic data can be see in [[1725: Linear Regression]]. | We could also infer that the accusation is a jab at the fact that the data points are all over the place; a good example of such chaotic data can be see in [[1725: Linear Regression]]. |