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The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability. In the general form, the central point can be a mean, median, mode, or the result of any other measure of central tendency or any reference value related to the given data…
Standards, Overview & Minimization
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Average absolute deviation | related to Maximum absolute deviation | The | 0.60 | section |
| Average absolute deviation | related to Maximum absolute deviation | While | 0.60 | section |
| Average absolute deviation | related to Mean absolute deviation around the mean | The | 0.60 | section |
| Average absolute deviation | related to Mean absolute deviation around the mean | MAD | 0.60 | section |
| Average absolute deviation | related to Mean absolute deviation around the mean | Average | 0.60 | section |
| Average absolute deviation | related to Mean absolute deviation around the mean | Because | 0.60 | section |
| Average absolute deviation | related to Measures of dispersion | Several | 0.60 | section |
| Average absolute deviation | related to Measures of dispersion | The | 0.60 | section |
| Average absolute deviation | related to Measures of dispersion | Thus | 0.60 | section |
| Average absolute deviation | related to Measures of dispersion | MAD | 0.60 | section |
| Average absolute deviation | related to Minimization | The | 0.60 | section |
| Average absolute deviation | related to Minimization | Some | 0.60 | section |
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