96:@0.058599:0.966558:0.074760:0.966558:0.074760:0.950778:0.058599:0.950778:0.000000:0.000000
Lectura de tablas de la distribución de Poisson:@0.404236:0.097213:0.774302:0.097213:0.774302:0.079531:0.404236:0.079531:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La tabla de probabilidad de Poisson permite resolver los ejercicios y :@0.404236:0.113921:0.895897:0.113921:0.895897:0.097423:0.404236:0.097423:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
problemas anteriores con mayor facilidad. Para utilizarla es necesario :@0.404236:0.131272:0.895901:0.131272:0.895901:0.114774:0.404236:0.114774:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
conocer el valor de lambda   y el valor de  . Recuerda que   es el :@0.404236:0.148622:0.895936:0.148622:0.895936:0.132125:0.404236:0.132125:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.723291:0.148738:0.733251:0.148738:0.733251:0.132269:0.723291:0.132269:0.000000
X:@0.845143:0.148738:0.855103:0.148738:0.855103:0.132269:0.845143:0.132269:0.000000
número de éxitos que buscamos y que   =  .:@0.404239:0.165973:0.723634:0.165973:0.723634:0.149475:0.404239:0.149475:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X k:@0.683581:0.166089:0.720879:0.166089:0.720879:0.149620:0.683581:0.149620:0.000000:0.000000:0.000000
Ejercicios resueltos:@0.404239:0.201051:0.534894:0.201051:0.534894:0.184264:0.404239:0.184264:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.404239:0.218242:0.416511:0.218242:0.416511:0.201528:0.404239:0.201528:0.000000:0.000000
  Supongamos que   es una variable aleatoria que sigue una distri-:@0.416511:0.218025:0.891821:0.218025:0.891821:0.201528:0.416511:0.201528:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.557993:0.218141:0.567953:0.218141:0.567953:0.201672:0.557993:0.201672:0.000000
bución de Poisson con   = 0,9 y   =   = 3. ¿Cuál es la probabilidad :@0.427973:0.235376:0.895832:0.235376:0.895832:0.218879:0.427973:0.218879:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X k:@0.659141:0.235492:0.694974:0.235492:0.694974:0.219023:0.659141:0.219023:0.000000:0.000000:0.000000
de  ?:@0.427977:0.252727:0.465640:0.252727:0.465640:0.236229:0.427977:0.236229:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.449978:0.252843:0.459938:0.252843:0.459938:0.236374:0.449978:0.236374:0.000000
Sigue estos pasos::@0.404242:0.270078:0.529250:0.270078:0.529250:0.253580:0.404242:0.253580:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i):@0.404242:0.287645:0.414780:0.287645:0.414780:0.270931:0.404242:0.270931:0.000000:0.000000
  Localiza en la columna de la tabla   = 3.:@0.414780:0.287428:0.708302:0.287428:0.708302:0.270931:0.414780:0.270931:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.670484:0.287544:0.677959:0.287544:0.677959:0.271075:0.670484:0.271075:0.000000
ii):@0.404242:0.305618:0.419038:0.305618:0.419038:0.288903:0.404242:0.288903:0.000000:0.000000:0.000000
  Localiza en la fila de la tabla   = 0,9.:@0.419038:0.305401:0.686488:0.305408:0.686488:0.288910:0.419038:0.288903:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
iii):@0.404233:0.322975:0.423286:0.322975:0.423286:0.306261:0.404233:0.306261:0.000000:0.000000:0.000000:0.000000
 Busca la intersección de los dos valores y esa es la probabilidad.:@0.423286:0.322759:0.874413:0.322759:0.874413:0.306261:0.423286:0.306261:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La probabilidad de   es de 0,049 4, que corresponde al 4,9 %.:@0.404233:0.357460:0.832284:0.357460:0.832284:0.340962:0.404233:0.340962:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.541284:0.357576:0.551244:0.357576:0.551244:0.341107:0.541284:0.341107:0.000000
2.:@0.404235:0.499029:0.416506:0.499029:0.416506:0.482314:0.404235:0.482314:0.000000:0.000000
  Retomemos el problema de los pacientes de un hospital y resolvá-:@0.416506:0.498812:0.891734:0.498812:0.891734:0.482314:0.416506:0.482314:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
moslo utilizando la tabla de distribución de Poisson.:@0.427969:0.516163:0.796123:0.516163:0.796123:0.499665:0.427969:0.499665:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.550864:0.408377:0.550864:0.408377:0.534367:0.404235:0.534367:0.000000
Supongamos que se conoce que a un hospital llegan pacientes a :@0.427969:0.550864:0.895959:0.550864:0.895959:0.534367:0.427969:0.534367:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la sala de emergencia a razón de 5 cada 2 horas. ¿Cuál es la proba-:@0.427969:0.568215:0.891871:0.568215:0.891871:0.551718:0.427969:0.551718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bilidad de que lleguen por lo menos 3 personas en 1 hora?:@0.427969:0.585566:0.841646:0.585566:0.841646:0.569068:0.427969:0.569068:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.620267:0.408377:0.620267:0.408377:0.603770:0.404235:0.603770:0.000000
X es el número de pacientes que llegan al hospital en 1 hora.:@0.427969:0.620267:0.855654:0.620267:0.855654:0.603770:0.427969:0.603770:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.638240:0.408377:0.638240:0.408377:0.621742:0.404235:0.621742:0.000000
 = 2,5.:@0.444730:0.638247:0.486324:0.638247:0.486324:0.621749:0.444730:0.621749:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.655598:0.408377:0.655598:0.408377:0.639100:0.404235:0.639100:0.000000
La pregunta hace referencia a que lleguen por lo menos 3 perso-:@0.427969:0.655598:0.891757:0.655598:0.891757:0.639100:0.427969:0.639100:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
nas, es decir que pueden llegar más. Entonces::@0.427969:0.672948:0.753394:0.672948:0.753394:0.656451:0.427969:0.656451:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.707650:0.408377:0.707650:0.408377:0.691152:0.404235:0.691152:0.000000
P(X ≥ 3) = 1 – P(X < 3), = 1 – [P(X = 0) + P(X = 1) + P(X = 2)].:@0.427969:0.707650:0.871937:0.707650:0.871937:0.691152:0.427969:0.691152:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.725001:0.408377:0.725001:0.408377:0.708503:0.404235:0.708503:0.000000
 :@0.404235:0.742351:0.408377:0.742351:0.408377:0.725854:0.404235:0.725854:0.000000
Buscamos en la tabla los valores cuando :@0.427969:0.742351:0.716210:0.742351:0.716210:0.725854:0.427969:0.725854:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.760324:0.408377:0.760324:0.408377:0.743826:0.404235:0.743826:0.000000
 = 2,5 y k = 0;  k = 1 y k = 2. :@0.444730:0.760331:0.641505:0.760331:0.641505:0.743833:0.444730:0.743833:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.777682:0.408377:0.777682:0.408377:0.761184:0.404235:0.761184:0.000000
 :@0.404235:0.795032:0.408377:0.795032:0.408377:0.778535:0.404235:0.778535:0.000000
Obtenemos los valores::@0.427969:0.795032:0.593573:0.795032:0.593573:0.778535:0.427969:0.778535:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.829734:0.408377:0.829734:0.408377:0.813236:0.404235:0.813236:0.000000
P(X ≥ 3) = 1 – [P(X = 0) + P(X = 1) + P(X = 2)],:@0.427969:0.829734:0.763647:0.829734:0.763647:0.813236:0.427969:0.813236:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.847085:0.408377:0.847085:0.408377:0.830587:0.404235:0.830587:0.000000
= 1 – [0,082 1 + 0,205 2 + 0,256 5],:@0.491352:0.847085:0.734364:0.847085:0.734364:0.830587:0.491352:0.830587:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404235:0.864435:0.408377:0.864435:0.408377:0.847938:0.404235:0.847938:0.000000
= 0,456 1.:@0.491352:0.864435:0.558434:0.864435:0.558434:0.847938:0.491352:0.847938:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia digital:@0.199646:0.101906:0.341998:0.101906:0.341998:0.086434:0.199646:0.086434:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El programa GeoGebra te per-:@0.153346:0.146376:0.349316:0.146376:0.349316:0.131313:0.153346:0.131313:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mite realizar algunas gráficas  :@0.153346:0.162218:0.344407:0.162218:0.344407:0.147155:0.153346:0.147155:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de distribución estadística.  :@0.153346:0.178060:0.332423:0.178060:0.332423:0.162997:0.153346:0.162997:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Ingresa:@0.153346:0.194100:0.201331:0.194100:0.201331:0.178838:0.153346:0.178838:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 al siguiente enlace  :@0.201331:0.193902:0.329510:0.193902:0.329510:0.178838:0.201331:0.178838:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
lynk.ec/13m06:@0.153346:0.210074:0.250179:0.210074:0.250179:0.194760:0.153346:0.194760:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 y :@0.250091:0.209744:0.264796:0.209744:0.264796:0.194680:0.250091:0.194680:0.000000:0.000000:0.000000
observa:@0.264796:0.209942:0.317126:0.209942:0.317126:0.194680:0.264796:0.194680:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 el tu-:@0.317038:0.209744:0.354382:0.209744:0.354382:0.194680:0.317038:0.194680:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
torial para efectuar las gráficas :@0.153346:0.225586:0.352074:0.225586:0.352074:0.210522:0.153346:0.210522:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que se muestran a continuación.:@0.153346:0.241428:0.361471:0.241428:0.361471:0.226364:0.153346:0.226364:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
0:@0.179975:0.366629:0.182499:0.366629:0.182499:0.361962:0.179975:0.361962:0.000000
1:@0.192604:0.366629:0.195128:0.366629:0.195128:0.361962:0.192604:0.361962:0.000000
2:@0.205233:0.366629:0.207757:0.366629:0.207757:0.361962:0.205233:0.361962:0.000000
3:@0.217862:0.366629:0.220385:0.366629:0.220385:0.361962:0.217862:0.361962:0.000000
4:@0.230491:0.366629:0.233014:0.366629:0.233014:0.361962:0.230491:0.361962:0.000000
5:@0.243120:0.366629:0.245643:0.366629:0.245643:0.361962:0.243120:0.361962:0.000000
6:@0.255749:0.366629:0.258272:0.366629:0.258272:0.361962:0.255749:0.361962:0.000000
7:@0.268377:0.366629:0.270901:0.366629:0.270901:0.361962:0.268377:0.361962:0.000000
8:@0.281006:0.366629:0.283530:0.366629:0.283530:0.361962:0.281006:0.361962:0.000000
9:@0.293641:0.366629:0.296164:0.366629:0.296164:0.361962:0.293641:0.361962:0.000000
10:@0.305008:0.366629:0.310055:0.366629:0.310055:0.361962:0.305008:0.361962:0.000000:0.000000
11:@0.317637:0.366629:0.322684:0.366629:0.322684:0.361962:0.317637:0.361962:0.000000:0.000000
12:@0.330265:0.366629:0.335313:0.366629:0.335313:0.361962:0.330265:0.361962:0.000000:0.000000
13:@0.342894:0.366629:0.347942:0.366629:0.347942:0.361962:0.342894:0.361962:0.000000:0.000000
0,00:@0.172281:0.358451:0.172281:0.352023:0.166063:0.352023:0.166063:0.358451:0.000000:0.000000:0.000000:0.000000
0,05:@0.172281:0.339491:0.172281:0.333062:0.166063:0.333062:0.166063:0.339491:0.000000:0.000000:0.000000:0.000000
0,10:@0.172281:0.320535:0.172281:0.314106:0.166063:0.314106:0.166063:0.320535:0.000000:0.000000:0.000000:0.000000
0,15:@0.172281:0.301574:0.172281:0.295145:0.166063:0.295145:0.166063:0.301574:0.000000:0.000000:0.000000:0.000000
0,20:@0.172281:0.282614:0.172281:0.276185:0.166063:0.276185:0.166063:0.282614:0.000000:0.000000:0.000000:0.000000
P (X–x):@0.165009:0.322770:0.165009:0.311562:0.158802:0.311562:0.158802:0.322770:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Lambda = 2:@0.230314:0.271514:0.290099:0.271514:0.290099:0.260038:0.230314:0.260038:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
0:@0.188248:0.542952:0.191020:0.542952:0.191020:0.537825:0.188248:0.537825:0.000000
1:@0.202122:0.542952:0.204895:0.542952:0.204895:0.537825:0.202122:0.537825:0.000000
2:@0.215997:0.542952:0.218769:0.542952:0.218769:0.537825:0.215997:0.537825:0.000000
3:@0.229871:0.542952:0.232644:0.542952:0.232644:0.537825:0.229871:0.537825:0.000000
4:@0.243746:0.542952:0.246518:0.542952:0.246518:0.537825:0.243746:0.537825:0.000000
5:@0.257620:0.542952:0.260393:0.542952:0.260393:0.537825:0.257620:0.537825:0.000000
6:@0.271495:0.542952:0.274267:0.542952:0.274267:0.537825:0.271495:0.537825:0.000000
7:@0.285369:0.542952:0.288142:0.542952:0.288142:0.537825:0.285369:0.537825:0.000000
8:@0.299250:0.542952:0.302022:0.542952:0.302022:0.537825:0.299250:0.537825:0.000000
9:@0.313124:0.542952:0.315897:0.542952:0.315897:0.537825:0.313124:0.537825:0.000000
10:@0.325612:0.542952:0.331158:0.542952:0.331158:0.537825:0.325612:0.537825:0.000000:0.000000
11:@0.339487:0.542952:0.345032:0.542952:0.345032:0.537825:0.339487:0.537825:0.000000:0.000000
0,00:@0.179788:0.533964:0.179788:0.526902:0.172956:0.526902:0.172956:0.533964:0.000000:0.000000:0.000000:0.000000
0,05:@0.179788:0.513138:0.179788:0.506076:0.172956:0.506076:0.172956:0.513138:0.000000:0.000000:0.000000:0.000000
0,10:@0.179788:0.492308:0.179788:0.485245:0.172956:0.485245:0.172956:0.492308:0.000000:0.000000:0.000000:0.000000
P (X–x):@0.167329:0.482410:0.167329:0.470097:0.160509:0.470097:0.160509:0.482410:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
0,15:@0.179788:0.471481:0.179788:0.464419:0.172956:0.464419:0.172956:0.471481:0.000000:0.000000:0.000000:0.000000
0,20:@0.179788:0.450655:0.179788:0.443593:0.172956:0.443593:0.172956:0.450655:0.000000:0.000000:0.000000:0.000000
0,25:@0.179788:0.429869:0.179788:0.422806:0.172956:0.422806:0.172956:0.429869:0.000000:0.000000:0.000000:0.000000
Lambda = 4:@0.240760:0.407156:0.300545:0.407156:0.300545:0.395679:0.240760:0.395679:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
0:@0.182572:0.724063:0.185200:0.724063:0.185200:0.719202:0.182572:0.719202:0.000000
2:@0.195725:0.724063:0.198353:0.724063:0.198353:0.719202:0.195725:0.719202:0.000000
4:@0.208877:0.724063:0.211506:0.724063:0.211506:0.719202:0.208877:0.719202:0.000000
6:@0.222030:0.724063:0.224659:0.724063:0.224659:0.719202:0.222030:0.719202:0.000000
8:@0.235183:0.724063:0.237811:0.724063:0.237811:0.719202:0.235183:0.719202:0.000000
10:@0.247022:0.724063:0.252278:0.724063:0.252278:0.719202:0.247022:0.719202:0.000000:0.000000
12:@0.260174:0.724063:0.265431:0.724063:0.265431:0.719202:0.260174:0.719202:0.000000:0.000000
14:@0.273327:0.724063:0.278584:0.724063:0.278584:0.719202:0.273327:0.719202:0.000000:0.000000
16:@0.286480:0.724063:0.291737:0.724063:0.291737:0.719202:0.286480:0.719202:0.000000:0.000000
18:@0.299633:0.724063:0.304889:0.724063:0.304889:0.719202:0.299633:0.719202:0.000000:0.000000
20:@0.312786:0.724063:0.318042:0.724063:0.318042:0.719202:0.312786:0.719202:0.000000:0.000000
22:@0.325944:0.724063:0.331201:0.724063:0.331201:0.719202:0.325944:0.719202:0.000000:0.000000
25:@0.345673:0.724063:0.350930:0.724063:0.350930:0.719202:0.345673:0.719202:0.000000:0.000000
0,00:@0.174428:0.715446:0.174428:0.708751:0.167952:0.708751:0.167952:0.715446:0.000000:0.000000:0.000000:0.000000
0,02:@0.174428:0.695703:0.174428:0.689008:0.167952:0.689008:0.167952:0.695703:0.000000:0.000000:0.000000:0.000000
0,04:@0.174428:0.675957:0.174428:0.669262:0.167952:0.669262:0.167952:0.675957:0.000000:0.000000:0.000000:0.000000
0,06:@0.174428:0.656215:0.174428:0.649520:0.167952:0.649520:0.167952:0.656215:0.000000:0.000000:0.000000:0.000000
0,08:@0.174428:0.636473:0.174428:0.629778:0.167952:0.629778:0.167952:0.636473:0.000000:0.000000:0.000000:0.000000
0,10:@0.174428:0.616571:0.174428:0.609876:0.167952:0.609876:0.167952:0.616571:0.000000:0.000000:0.000000:0.000000
0,12:@0.174428:0.596825:0.174428:0.590130:0.167952:0.590130:0.167952:0.596825:0.000000:0.000000:0.000000:0.000000
P (X–x):@0.165368:0.658706:0.165368:0.647033:0.158904:0.647033:0.158904:0.658706:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Lambda = 10:@0.227929:0.579879:0.293624:0.579879:0.293624:0.568402:0.227929:0.568402:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.295723:0.398199:0.307203:0.398199:0.307203:0.388174:0.295723:0.388174:0.000000
 :@0.307203:0.398906:0.310084:0.398906:0.310084:0.387430:0.307203:0.387430:0.000000
Figura 3.21.:@0.310084:0.398906:0.364563:0.398906:0.364563:0.387430:0.310084:0.387430:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.295723:0.574261:0.307203:0.574261:0.307203:0.564236:0.295723:0.564236:0.000000
 :@0.307203:0.574969:0.310084:0.574969:0.310084:0.563492:0.307203:0.563492:0.000000
Figura 3.22.:@0.310084:0.574969:0.364563:0.574969:0.364563:0.563492:0.310084:0.563492:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.295723:0.745996:0.307203:0.745996:0.307203:0.735971:0.295723:0.735971:0.000000
 :@0.307203:0.746704:0.310084:0.746704:0.310084:0.735227:0.307203:0.735227:0.000000
Figura 3.23.:@0.310084:0.746704:0.364563:0.746704:0.364563:0.735227:0.310084:0.735227:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000