« Skewness » : différence entre les versions

Dernière version du 4 mars 2021 à 19:14

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+#REDIRECTION[[Asymétrie]]
-==en construction==
+[[Catégorie:ENGLISH]]
-== Définition ==
-XXXXXXXXX
-== Français ==
-''' XXXXXXXXX '''
-== Anglais ==
-''' Skewness'''
-Skewness is a quantifiable measure of how distorted a data sample is from the normal distribution. In normal distribution, the data is represented graphically in a bell-shaped curve, where the mean (average) and mode (maximum value in the data set) are equal.
-If the mean of the data distribution is less than the mode, more of the graphed points will be to the left of the mode than the right, which is called a “negative skew.”
-If the mean of the data distribution is more than the mode, more of the graphed points will be to the right of the mode than the left, which is called a “negative skew.”
-<small>
-[Skewness  Source : DeepAI.org ]
-[[Catégorie:vocabulary]]