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| | #REDIRECTION[[Erreur standard]] |
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| ==en construction==
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| == Définition ==
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| == Français ==
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| ''' XXXXXXXXX '''
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| == Anglais ==
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| ''' Standard error'''
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| Standard error is the measurement of how dispersed a sample’s means are from the population mean. In the vast majority of cases, standard error is defined as the standard deviation divided by the square root of the sample size.
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| One exception is in regression analysis, where standard error can refer to both the square root of the reduced chi-squared statistic and the standard error for a regression coefficient, such as confidence intervals.
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| <small>
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| [https://deepai.org/machine-learning-glossary-and-terms/standard-error Source : DeepAI.org ]
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| [[Catégorie:DeepAI.org]]
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| [[Catégorie:vocabulary]] | |
