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| | | #REDIRECTION[[Asymétrie]] |
| ==en construction==
| | [[Catégorie:ENGLISH]] |
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| == Définition ==
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| == Français ==
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| ''' XXXXXXXXX '''
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| == Anglais ==
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| ''' Skewness'''
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| 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.
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| 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.”
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| 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.”
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| <small>
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| [Skewness Source : DeepAI.org ]
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| [[Catégorie:DeepAI.org]] | |
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| [[Catégorie:vocabulary]] | |
