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%PROGRAMA PARA DESARROLLAR LA DISTRIBUCION NORMAL CON MATLAP
%PROFSRO: ING. FELIPE SALINAS VELASQUEZ
%AUTOR: ZARATE CRUZ JUAN LUIS
%CARRERA: ING. EN GESTION EMPRESARIAL
%GRADO : 3° SEMESTRE
%SISTEMA ABIERTO
%PROGRAMA: DISTRIBUCION NORMAL
%CALCULE LA PROBABILIDAD Z?-1.45
p=normcdf(-1.45)
%calcule la probabilidad P(1.25?Z?1.45)
p=normcdf(1.45)-normcdf(1.25)
%CALCULE LA PROBABILIDAD DE P(X?9) DONDE ?=10 Y ?=2
p=normcdf(9,10,2)
%SUPONGASE QUE LOS DATOS DE X=-6,-5,-4,...9
%INSERTE LOS VALORES DE LA VARIABLE X
x=-6:0.5:9;
%CALCULE LAS PROBABILIDADES DE X DONDE ?=2 Y ?=1.8
f=normpdf(x,2,1.8)
%OBTENGA EL GRAFICO
plot(x,f,'b'), grid on
legend('mu=2,sigma=1.8')
>> cruz2
p =
0.0735
p =
0.0321
p =
0.3085
f =
Columns 1 through 9
0.0000 0.0000 0.0001 0.0003 0.0009 0.0021
0.0047 0.0097 0.0188
Columns 10 through 18
0.0335 0.0553 0.0845 0.1196 0.1566 0.1899
0.2132 0.2216 0.2132
Columns 19 through 27
0.1899 0.1566 0.1196 0.0845 0.0553 0.0335
0.0188 0.0097 0.0047
Columns 28 through 31
0.0021 0.0009 0.0003 0.0001
>>

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Distribucion normal.lz

  • 1. %PROGRAMA PARA DESARROLLAR LA DISTRIBUCION NORMAL CON MATLAP %PROFSRO: ING. FELIPE SALINAS VELASQUEZ %AUTOR: ZARATE CRUZ JUAN LUIS %CARRERA: ING. EN GESTION EMPRESARIAL %GRADO : 3° SEMESTRE %SISTEMA ABIERTO %PROGRAMA: DISTRIBUCION NORMAL %CALCULE LA PROBABILIDAD Z?-1.45 p=normcdf(-1.45) %calcule la probabilidad P(1.25?Z?1.45) p=normcdf(1.45)-normcdf(1.25) %CALCULE LA PROBABILIDAD DE P(X?9) DONDE ?=10 Y ?=2 p=normcdf(9,10,2) %SUPONGASE QUE LOS DATOS DE X=-6,-5,-4,...9 %INSERTE LOS VALORES DE LA VARIABLE X x=-6:0.5:9; %CALCULE LAS PROBABILIDADES DE X DONDE ?=2 Y ?=1.8 f=normpdf(x,2,1.8) %OBTENGA EL GRAFICO plot(x,f,'b'), grid on legend('mu=2,sigma=1.8') >> cruz2 p = 0.0735 p = 0.0321 p = 0.3085 f = Columns 1 through 9 0.0000 0.0000 0.0001 0.0003 0.0009 0.0021 0.0047 0.0097 0.0188
  • 2. Columns 10 through 18 0.0335 0.0553 0.0845 0.1196 0.1566 0.1899 0.2132 0.2216 0.2132 Columns 19 through 27 0.1899 0.1566 0.1196 0.0845 0.0553 0.0335 0.0188 0.0097 0.0047 Columns 28 through 31 0.0021 0.0009 0.0003 0.0001 >>