2 proporcin de la muestra es p 082 p note la

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Unformatted text preview: onfianza Error estándar Media (valor esperado E ( X = ) ) µ Proporción (valor esperado E ( P ) = ) P Población finita n > 0.05 N σ σX = n Población infinita n ≤ 0.05 N = ¿ ? ó N σ σX = n N −n N −1 P (1 − P ) N − n σP = n N −1 D.R. D.R. Universidad TecVirtual del Sistema Tecnológico de Monterrey, 2013 σP = P (1 − P ) n Propiedades de los es'madores •  Una muestra de tamaño n (lo suficientemente grande, Bene esBmadores que son: –  Insesgado: cuando el valor esperado del estadísBco es el parámetro poblacional –  Eficiente: cuando el error estándar de una muestra es el más pequeño (eficiencia relaBva) –  Consistente: cuando su valor esta más cerca del verdadero valor poblacional D.R. Universidad TecVirtual del Sistema Tecnológico de Monterrey, 2013 Capítulo 8 D.R. Universidad TecVirtual del Sistema Tecnológico de Monterrey, 2013 Es'maciones •  A parBr de la información estadísBca de una muestra, se pretende conocer o esBmar los parámetros de la pobla...
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