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- Skewness abstract "In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined.The qualitative interpretation of the skew is complicated. For a unimodal distribution, negative skew indicates that the tail on the left side of the probability density function is longer or fatter than the right side – it does not distinguish these shapes. Conversely, positive skew indicates that the tail on the right side is longer or fatter than the left side. In cases where one tail is long but the other tail is fat, skewness does not obey a simple rule. For example, a zero value indicates that the tails on both sides of the mean balance out, which is the case both for a symmetric distribution, and for asymmetric distributions where the asymmetries even out, such as one tail being long but thin, and the other being short but fat. Further, in multimodal distributions and discrete distributions, skewness is also difficult to interpret. Importantly, the skewness does not determine the relationship of mean and median.".
- Skewness thumbnail SkewedDistribution.png?width=300.
- Skewness wikiPageExternalLink index.html.
- Skewness wikiPageExternalLink itoweb.petitjean.skewness.html.
- Skewness wikiPageExternalLink viewcontent.cgi?article=1017&context=ucsdecon.
- Skewness wikiPageID "28212".
- Skewness wikiPageRevisionID "604363539".
- Skewness hasPhotoCollection Skewness.
- Skewness id "p/a013590".
- Skewness title "Asymmetry coefficient".
- Skewness subject Category:Statistical_deviation_and_dispersion.
- Skewness subject Category:Theory_of_probability_distributions.
- Skewness comment "In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined.The qualitative interpretation of the skew is complicated. For a unimodal distribution, negative skew indicates that the tail on the left side of the probability density function is longer or fatter than the right side – it does not distinguish these shapes.".
- Skewness label "Asimetría estadística".
- Skewness label "Asymétrie (statistiques)".
- Skewness label "Obliquidade".
- Skewness label "Scheefheid".
- Skewness label "Schiefe (Statistik)".
- Skewness label "Simmetria (statistica)".
- Skewness label "Skewness".
- Skewness label "Współczynnik skośności".
- Skewness label "Коэффициент асимметрии".
- Skewness label "偏度".
- Skewness label "歪度".
- Skewness sameAs Koeficient_šikmosti.
- Skewness sameAs Schiefe_(Statistik).
- Skewness sameAs Asimetría_estadística.
- Skewness sameAs Alborapen_(estatistika).
- Skewness sameAs Asymétrie_(statistiques).
- Skewness sameAs Simmetria_(statistica).
- Skewness sameAs 歪度.
- Skewness sameAs 비대칭도.
- Skewness sameAs Scheefheid.
- Skewness sameAs Współczynnik_skośności.
- Skewness sameAs Obliquidade.
- Skewness sameAs m.06_lv.
- Skewness sameAs Q330828.
- Skewness sameAs Q330828.
- Skewness wasDerivedFrom Skewness?oldid=604363539.
- Skewness depiction SkewedDistribution.png.
- Skewness isPrimaryTopicOf Skewness.