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Difference between revisions of "Standard error"

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(Eugen Grebenik et al., first edition 1958)
(Eugen Grebenik et al., first edition 1958)
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[[en-I:standard error]] [[ar-I:خطأ المعياري (خطا)]] [[cs-I:střední kvadratická chyba]] [[de-I:mittlere Abweichung]] [[es-I:error típico]] [[fi-I:keskivirhe]] [[fr-I:erreur-type]] [[it-I:errore quadratico medio]] [[pl-I:błąd standardowy]] [[pt-I:ÊRRO padrão]] [[ru-I:Средняя ошибка]]  
 
[[en-I:standard error]] [[ar-I:خطأ المعياري (خطا)]] [[cs-I:střední kvadratická chyba]] [[de-I:mittlere Abweichung]] [[es-I:error típico]] [[fi-I:keskivirhe]] [[fr-I:erreur-type]] [[it-I:errore quadratico medio]] [[pl-I:błąd standardowy]] [[pt-I:ÊRRO padrão]] [[ru-I:Средняя ошибка]]  
 
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[[Category:Term of the first edition of the multilingual demographic Dictionary]]

Revision as of 15:55, 4 February 2010

Standard error  (STANDARD error)


A population parameter1 is a numerical value that characterizes a population. Statistical estimation2 is the name given to the procedure by which the values of such parameters can be estimated from the sample. Such estimates are subject to sampling errors3 and a measure of the magnitude of the sampling error is generally given by the standard error4. Sometimes a confidence interval5 is associated with an estimate to show the limits within which the estimated quantity may be expected to lie. A difference between two values is called a significant difference6 when the probability that it is due to chance is less than a given value which is called the level of significance7. Thus a difference will be significant at the 5 per cent level if the probability that it could have arisen by chance is less than 0.05.


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