98:@0.058783:0.510692:0.077690:0.510692:0.077690:0.494068:0.058783:0.494068:0.000000:0.000000
Tema:@0.047190:0.135475:0.083321:0.135475:0.083321:0.113749:0.047190:0.113749:0.000000:0.000000:0.000000:0.000000
Actividad resuelta:@0.115519:0.498742:0.272641:0.498742:0.272641:0.480305:0.115519:0.480305:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1. :@0.115519:0.518589:0.134260:0.518589:0.134260:0.501453:0.115519:0.501453:0.000000:0.000000:0.000000
Si un banco recibe en promedio 6 cheques sin fondo por día, cuáles :@0.148763:0.518589:0.663520:0.518589:0.663520:0.502200:0.148763:0.502200:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
son las probabilidades de que reciba::@0.148763:0.535185:0.420051:0.535185:0.420051:0.518796:0.148763:0.518796:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a)  :@0.148763:0.558904:0.171300:0.558904:0.171300:0.542004:0.148763:0.542004:0.000000:0.000000:0.000000:0.000000
Cuatro cheques sin fondo en un día dado.:@0.182006:0.558904:0.488605:0.558904:0.488605:0.542515:0.182006:0.542515:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b)  :@0.148763:0.582623:0.172608:0.582623:0.172608:0.565723:0.148763:0.565723:0.000000:0.000000:0.000000:0.000000
Diez cheques sin fondos en cualquiera de dos días consecutivos?:@0.182006:0.582623:0.658010:0.582623:0.658010:0.566234:0.182006:0.566234:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
        Solución:@0.115519:0.606342:0.215248:0.606342:0.215248:0.589442:0.115519:0.589442:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.059451:0.122645:0.071060:0.122645:0.071060:0.065614:0.059451:0.065614:0.000000
Distribución de Poisson :@0.115891:0.141978:0.467440:0.141978:0.467440:0.101242:0.115891:0.101242:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X: Ps :@0.467262:0.141978:0.545664:0.141978:0.555234:0.101242:0.476833:0.101242:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( ):@0.546080:0.141978:0.592669:0.141978:0.592669:0.101242:0.546080:0.101242:0.000000:0.000000:0.000000
λ:@0.555579:0.146127:0.583170:0.146127:0.583170:0.103656:0.555579:0.103656:0.000000
M.5.3.18. Identificar variables aleatorias discretas en problemas de texto y reconocer la distribución de Poisson, como ejemplo de variables aleatorias discretas :@0.125388:0.069719:0.877792:0.069719:0.877792:0.059289:0.125388:0.059289:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y sus aplicaciones.:@0.125388:0.080280:0.210123:0.080280:0.210123:0.069851:0.125388:0.069851:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Función de probabilidad de Poisson:@0.175013:0.173612:0.433315:0.173612:0.433315:0.158248:0.175013:0.158248:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Propiedades:@0.640998:0.173612:0.731762:0.173612:0.731762:0.158248:0.640998:0.158248:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La distribución de Poisson de una variable aleatoria     •  Se aplica a una población de tamaño infinito.:@0.121741:0.197161:0.823792:0.197162:0.823792:0.182263:0.121741:0.182262:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.478310:0.197161:0.486552:0.197161:0.486552:0.182287:0.478310:0.182287:0.000000
y parámetro   se representa con la notación::@0.121741:0.212249:0.418575:0.212249:0.418575:0.197350:0.121741:0.197350:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ:@0.206539:0.212865:0.215737:0.212865:0.215737:0.198708:0.206539:0.198708:0.000000
X: Ps:@0.280670:0.230895:0.308463:0.230895:0.308463:0.216021:0.280670:0.216021:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.308463:0.230895:0.312902:0.230895:0.312902:0.215996:0.308463:0.215996:0.000000
λ):@0.312902:0.231511:0.327678:0.231511:0.327678:0.217353:0.312902:0.217353:0.000000:0.000000
Y se expresa como::@0.121741:0.249540:0.248772:0.249540:0.248772:0.234641:0.121741:0.234641:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
P X:@0.249109:0.275001:0.269765:0.275001:0.269765:0.260127:0.249109:0.260127:0.000000:0.000000:0.000000
(  =  ) = e:@0.257083:0.275001:0.323858:0.275001:0.323858:0.260102:0.257083:0.260102:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
k:@0.287087:0.275001:0.293972:0.275001:0.293972:0.260127:0.287087:0.260127:0.000000
 –:@0.323860:0.269518:0.330882:0.269518:0.330882:0.260832:0.323860:0.260832:0.000000:0.000000
λ:@0.330882:0.269877:0.336244:0.269877:0.336244:0.261624:0.330882:0.261624:0.000000
 :@0.336243:0.275632:0.340431:0.275632:0.340431:0.261475:0.336243:0.261475:0.000000
λ:@0.342557:0.266994:0.352674:0.266994:0.352674:0.251421:0.342557:0.251421:0.000000
k:@0.352672:0.260269:0.357088:0.260269:0.357088:0.250731:0.352672:0.250731:0.000000
k:@0.344129:0.286017:0.351702:0.286017:0.351702:0.269656:0.344129:0.269656:0.000000
!:@0.351702:0.286017:0.355517:0.286017:0.355517:0.269628:0.351702:0.269628:0.000000
Donde,  (  =  ) es la probabilidad de ocurrencia cuando :@0.121737:0.306032:0.490240:0.306032:0.490240:0.291133:0.121737:0.291133:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
P X k:@0.173234:0.306032:0.216120:0.306032:0.216120:0.291158:0.173234:0.291158:0.000000:0.000000:0.000000:0.000000:0.000000
la variable discreta   toma un valor infinito  ,   es la :@0.121737:0.321120:0.490256:0.321120:0.490256:0.306221:0.121737:0.306221:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.254548:0.321120:0.262791:0.321120:0.262791:0.306246:0.254548:0.306246:0.000000
k:@0.424602:0.321120:0.431487:0.321120:0.431487:0.306246:0.424602:0.306246:0.000000
λ:@0.440267:0.321736:0.449464:0.321736:0.449464:0.307579:0.440267:0.307579:0.000000
ocurrencia promedio por unidad de tiempo, volumen, :@0.121737:0.336207:0.490280:0.336207:0.490280:0.321308:0.121737:0.321308:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
área, etc.,   es la constante con valor aproximado de :@0.121737:0.351295:0.490303:0.351295:0.490303:0.336396:0.121737:0.336396:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
e:@0.190791:0.351295:0.197877:0.351295:0.197877:0.336421:0.190791:0.336421:0.000000
2,711 828, y   es el número de éxitos por unidad.:@0.121737:0.366383:0.444502:0.366383:0.444502:0.351484:0.121737:0.351484:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
k:@0.203171:0.366383:0.210056:0.366383:0.210056:0.351509:0.203171:0.351509:0.000000
•  Los sucesos son independientes entre sí.:@0.499990:0.215808:0.793805:0.215808:0.793805:0.200909:0.499990:0.200909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•  La distribución de Poisson parte de la distribución :@0.499990:0.234454:0.876480:0.234454:0.876480:0.219555:0.499990:0.219555:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
binomial.:@0.523728:0.249542:0.585477:0.249542:0.585477:0.234643:0.523728:0.234643:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•  Cuando en una distribución binomial se realiza el :@0.499990:0.268187:0.876399:0.268187:0.876399:0.253288:0.499990:0.253288:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
experimento muchas veces, la muestra   es grande :@0.523728:0.283275:0.876463:0.283275:0.876463:0.268376:0.523728:0.268376:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.792517:0.283275:0.801161:0.283275:0.801161:0.268401:0.792517:0.268401:0.000000
y la probabilidad de éxito en cada ensayo es baja. :@0.523728:0.298363:0.876449:0.298363:0.876449:0.283464:0.523728:0.283464:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.872764:0.298363:0.876433:0.298363:0.876433:0.283464:0.872764:0.283464:0.000000
Es aquí cuando se aplica la distribución de Poisson.:@0.523728:0.313450:0.862238:0.313450:0.862238:0.298551:0.523728:0.298551:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•  El producto de :@0.499990:0.332096:0.629737:0.332096:0.629737:0.317197:0.499990:0.317197:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
np:@0.631680:0.332096:0.648751:0.332096:0.648751:0.317222:0.631680:0.317222:0.000000:0.000000
 tiende a aproximarse a un valor :@0.648751:0.332096:0.876491:0.332096:0.876491:0.317197:0.648751:0.317197:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
promedio, al que lo denominamos parámetro  .:@0.523728:0.347184:0.844380:0.347184:0.844380:0.332285:0.523728:0.332285:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ:@0.832268:0.347800:0.841465:0.347800:0.841465:0.333642:0.832268:0.333642:0.000000
Lectura de tablas de la distribución de Poisson:@0.330539:0.398268:0.663974:0.398268:0.663974:0.382903:0.330539:0.382903:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La tabla de probabilidad de Poisson permite resolver los ejercicios y problemas anteriores con mayor facilidad. :@0.121737:0.424797:0.856218:0.424797:0.856218:0.409898:0.121737:0.409898:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para utilizarla es necesario conocer el valor de   y el valor de  . :@0.121737:0.439884:0.540309:0.439884:0.540309:0.424985:0.121737:0.424985:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ:@0.429073:0.440500:0.438270:0.440500:0.438270:0.426343:0.429073:0.426343:0.000000
X:@0.525483:0.439884:0.533726:0.439884:0.533726:0.425010:0.525483:0.425010:0.000000
Recuerda:@0.540309:0.439884:0.605744:0.439884:0.605744:0.424772:0.540309:0.424772:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 que   es el número de éxitos que :@0.605744:0.439884:0.834930:0.439884:0.834930:0.424985:0.605744:0.424985:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.639182:0.439884:0.647424:0.439884:0.647424:0.425010:0.639182:0.425010:0.000000
buscamos y que :@0.121737:0.454972:0.234565:0.454972:0.234565:0.440073:0.121737:0.440073:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X = k:@0.234565:0.454972:0.265707:0.454972:0.265707:0.440098:0.234565:0.440098:0.000000:0.000000:0.000000:0.000000:0.000000
.:@0.265707:0.454972:0.268622:0.454972:0.268622:0.440073:0.265707:0.440073:0.000000
a) :@0.148595:0.633017:0.167317:0.633017:0.167317:0.616116:0.148595:0.616116:0.000000:0.000000:0.000000
Primero, se definen las variables: :@0.181838:0.633017:0.421342:0.633017:0.421342:0.616628:0.181838:0.616628:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.181838:0.649613:0.190904:0.649613:0.190904:0.633252:0.181838:0.633252:0.000000
 = 4,    = 6:@0.190904:0.649613:0.268393:0.649613:0.268393:0.633225:0.190904:0.633225:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ:@0.230229:0.650291:0.240346:0.650291:0.240346:0.634718:0.230229:0.634718:0.000000
P X:@0.229591:0.678328:0.250246:0.678328:0.250246:0.663454:0.229591:0.663454:0.000000:0.000000:0.000000
(  =  ) = e:@0.237565:0.678328:0.306446:0.678328:0.306446:0.663429:0.237565:0.663429:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4:@0.267567:0.678642:0.276559:0.678642:0.276559:0.662253:0.267567:0.662253:0.000000
 –6:@0.306446:0.672830:0.318234:0.672830:0.318234:0.664144:0.306446:0.664144:0.000000:0.000000:0.000000
 :@0.318234:0.678944:0.322422:0.678944:0.322422:0.664787:0.318234:0.664787:0.000000
6⁴:@0.324379:0.669628:0.339250:0.669628:0.339250:0.653240:0.324379:0.653240:0.000000:0.000000
4!:@0.325411:0.689323:0.338218:0.689323:0.338218:0.672934:0.325411:0.672934:0.000000:0.000000
 :@0.341205:0.678944:0.345393:0.678944:0.345393:0.664787:0.341205:0.664787:0.000000
= 0,133 8:@0.345393:0.678328:0.406506:0.678328:0.406506:0.663429:0.345393:0.663429:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.148595:0.705931:0.152630:0.705931:0.152630:0.689542:0.148595:0.689542:0.000000
La probabilidad de recibir 4 cheques sin   :@0.181838:0.705931:0.511639:0.704638:0.511639:0.688249:0.181838:0.689542:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fondos es del 13,4 %.:@0.181838:0.722527:0.334566:0.722527:0.334566:0.706138:0.181838:0.706138:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b) :@0.507603:0.633017:0.527634:0.633017:0.527634:0.616116:0.507603:0.616116:0.000000:0.000000:0.000000
Primero, se definen las variables: :@0.540847:0.633017:0.780351:0.633017:0.780351:0.616628:0.540847:0.616628:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.540847:0.649613:0.549913:0.649613:0.549913:0.633252:0.540847:0.633252:0.000000
 = 10,    = 6 × 2 = 12 (dos días):@0.549913:0.649613:0.775060:0.649613:0.775060:0.633225:0.549913:0.633225:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
λ:@0.598231:0.650291:0.608347:0.650291:0.608347:0.634718:0.598231:0.634718:0.000000
P X:@0.593749:0.677035:0.614405:0.677035:0.614405:0.662161:0.593749:0.662161:0.000000:0.000000:0.000000
(  = :@0.601723:0.677035:0.631727:0.677035:0.631727:0.662136:0.601723:0.662136:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.631727:0.677350:0.649712:0.677350:0.649712:0.660961:0.631727:0.660961:0.000000:0.000000
) = :@0.649712:0.677035:0.671474:0.677035:0.671474:0.662136:0.649712:0.662136:0.000000:0.000000:0.000000:0.000000
e:@0.671474:0.677035:0.678560:0.677035:0.678560:0.662161:0.671474:0.662161:0.000000
 –12:@0.678558:0.671539:0.695113:0.671539:0.695113:0.662853:0.678558:0.662853:0.000000:0.000000:0.000000:0.000000
 :@0.695113:0.677651:0.699301:0.677651:0.699301:0.663494:0.695113:0.663494:0.000000
12:@0.699301:0.669628:0.717287:0.669628:0.717287:0.653240:0.699301:0.653240:0.000000:0.000000
10:@0.717287:0.663581:0.727772:0.663581:0.727772:0.654026:0.717287:0.654026:0.000000:0.000000
10!:@0.702637:0.686152:0.724436:0.686152:0.724436:0.669763:0.702637:0.669763:0.000000:0.000000:0.000000
 :@0.727772:0.677651:0.731960:0.677651:0.731960:0.663494:0.727772:0.663494:0.000000
= 0,104 8:@0.731960:0.677035:0.793073:0.677035:0.793073:0.662136:0.731960:0.662136:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La probabilidad de recibir 10 cheques sin fon-:@0.540847:0.704638:0.875248:0.704638:0.875248:0.688249:0.540847:0.688249:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dos en dos días consecutivos es del 10,5 %.:@0.540847:0.721234:0.856251:0.721234:0.856251:0.704845:0.540847:0.704845:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
www.freepik.es:@0.896919:0.600257:0.896919:0.546800:0.883023:0.546800:0.883023:0.600257:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2.  :@0.115519:0.751425:0.137982:0.751425:0.137982:0.734289:0.115519:0.734289:0.000000:0.000000:0.000000:0.000000
La probabilidad de que se presente un accidente laboral en una empresa que fabrica pinturas es :@0.148763:0.751425:0.884503:0.751425:0.884503:0.735036:0.148763:0.735036:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de 0,025 por cada día de trabajo. Si la empresa trabaja los 365 día del año, ¿cuál es la probabilidad :@0.148763:0.768021:0.884488:0.768021:0.884488:0.751632:0.148763:0.751632:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.880450:0.768021:0.884486:0.768021:0.884486:0.751632:0.880450:0.751632:0.000000
de tener 5 accidentes?:@0.148763:0.784617:0.313504:0.784617:0.313504:0.768229:0.148763:0.768229:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los datos son::@0.148763:0.806276:0.251865:0.806276:0.251865:0.789887:0.148763:0.789887:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.115519:0.829995:0.119555:0.829995:0.119555:0.813606:0.115519:0.813606:0.000000
Probabilidad de accidente por cada día de tra-:@0.148763:0.829995:0.487463:0.829995:0.487463:0.813606:0.148763:0.813606:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bajo 0,025.:@0.148763:0.846591:0.227467:0.846591:0.227467:0.830202:0.148763:0.830202:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Número de días laborados   = 365:@0.148763:0.864972:0.401885:0.864972:0.401885:0.848583:0.148763:0.848583:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.346344:0.864972:0.355852:0.864972:0.355852:0.848610:0.346344:0.848610:0.000000
k:@0.148763:0.883352:0.156336:0.883352:0.156336:0.866991:0.148763:0.866991:0.000000
 = 5:@0.156336:0.883352:0.184383:0.883352:0.184383:0.866963:0.156336:0.866963:0.000000:0.000000:0.000000:0.000000
Solución:@0.540847:0.806276:0.610062:0.806276:0.610062:0.789375:0.540847:0.789375:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
np:@0.572150:0.829483:0.590633:0.829483:0.590633:0.813122:0.572150:0.813122:0.000000:0.000000
k:@0.791605:0.829483:0.799179:0.829483:0.799179:0.813122:0.791605:0.813122:0.000000
PX:@0.543459:0.863201:0.566659:0.863201:0.566659:0.846840:0.543459:0.846840:0.000000:0.000000
λ:@0.542617:0.830161:0.552733:0.830161:0.557298:0.814588:0.547182:0.814588:0.000000
λ:@0.599153:0.830161:0.609269:0.830161:0.613834:0.814588:0.603718:0.814588:0.000000
λ:@0.712870:0.830161:0.722986:0.830161:0.727551:0.814588:0.717434:0.814588:0.000000
(:@0.657536:0.856392:0.663672:0.856392:0.663672:0.835992:0.657536:0.835992:0.000000
):@0.704029:0.856392:0.710165:0.856392:0.710165:0.835992:0.704029:0.835992:0.000000
=:@0.558383:0.830161:0.568500:0.830161:0.568500:0.814588:0.558383:0.814588:0.000000
=:@0.614919:0.830161:0.625036:0.830161:0.625036:0.814588:0.614919:0.814588:0.000000
=:@0.728630:0.830161:0.738746:0.830161:0.738746:0.814588:0.728630:0.814588:0.000000
=:@0.803501:0.830161:0.813618:0.830161:0.813618:0.814588:0.803501:0.814588:0.000000
=:@0.572150:0.863873:0.582267:0.863873:0.582267:0.848300:0.572150:0.848300:0.000000
=:@0.601985:0.863873:0.612102:0.863873:0.612102:0.848300:0.601985:0.848300:0.000000
=:@0.721359:0.863873:0.731476:0.863873:0.731476:0.848300:0.721359:0.848300:0.000000
−:@0.625078:0.855925:0.630941:0.855925:0.630941:0.846900:0.625078:0.846900:0.000000
;:@0.591260:0.829483:0.594466:0.829483:0.594466:0.813094:0.591260:0.813094:0.000000
365(0,025);:@0.628318:0.829483:0.708165:0.829483:0.708165:0.813094:0.628318:0.813094:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
9,125;:@0.742016:0.829483:0.783386:0.829483:0.783386:0.813094:0.742016:0.813094:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
5:@0.816869:0.829483:0.825862:0.829483:0.825862:0.813094:0.816869:0.813094:0.000000
(:@0.552991:0.863195:0.557874:0.863195:0.557874:0.846806:0.552991:0.846806:0.000000
5)e:@0.585552:0.863195:0.624324:0.863195:0.624324:0.846806:0.585552:0.846806:0.000000:0.000000:0.000000
9,125:@0.664386:0.853846:0.703895:0.853846:0.703895:0.837457:0.664386:0.837457:0.000000:0.000000:0.000000:0.000000:0.000000
5!:@0.681147:0.873685:0.694064:0.873685:0.694064:0.857296:0.681147:0.857296:0.000000:0.000000
0,0574:@0.734754:0.863195:0.784196:0.863195:0.784196:0.846806:0.734754:0.846806:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
9,125:@0.630837:0.855533:0.653788:0.855533:0.653788:0.846035:0.630837:0.846035:0.000000:0.000000:0.000000:0.000000:0.000000
5:@0.710049:0.844415:0.715260:0.844415:0.715260:0.834917:0.710049:0.834917:0.000000
La probabilidad de tener 5 accidentes en 365 días es del 5,7 %.:@0.148595:0.912695:0.604767:0.912695:0.604767:0.896306:0.148595:0.896306:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000