Median absolute deviation
Median of the absolute deviation from the median; a robust measure of the variability of a univariate sample of quantitative data
Nº Q3853702 ★
Common · Knowledge
Median absolute deviation
Median of the absolute deviation from the median; a robust measure of the variability of a univariate sample of quantitative data
In statistics, the median absolute deviation (MAD), also referred to as the median absolute deviation from the median (MADFM), is a robust or outlier-resistant measure of the variability of a univariate sample of quantitative data. For a univariate data set X1, X2, ..., Xn, the MAD is defined as the median of the absolute deviations from the data's median, MAD = median ( | X i − X ~ | ) {\displaystyle \operatorname {MAD} =\operatorname {median} (|X_{i}-{\tilde {X}}|)} .
Last price
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Floor price
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7-day median
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30-day sales
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30-day range
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In circulation
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Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
|---|
Sales history
- Last sale
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- 30-day average
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- 30-day low
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- 30-day high
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- Sales 7d
- 0
- Sales 30d
- 0
No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
In statistics, the median absolute deviation (MAD), also referred to as the median absolute deviation from the median (MADFM), is a robust or outlier-resistant measure of the variability of a univariate sample of quantitative data. For a univariate data set X1, X2, ..., Xn, the MAD is defined as the median of the absolute deviations from the data's median, MAD = median ( | X i − X ~ | ) {\displaystyle \operatorname {MAD} =\operatorname {median} (|X_{i}-{\tilde {X}}|)} . It can also refer to the population parameter that is estimated by the MAD calculated from a sample.
Text: Wikipédia, CC BY-SA 4.0. ·
