203:@0.937671:0.974518:0.968375:0.974518:0.968375:0.956333:0.937671:0.956333:0.000000:0.000000:0.000000
Pensamiento aleatorio y sistema de datos:@0.557411:0.043661:0.926911:0.043661:0.926911:0.024916:0.557411:0.024916:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Empresa :@0.101550:0.136836:0.168252:0.136836:0.168252:0.121124:0.101550:0.121124:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
B:@0.168129:0.136836:0.176964:0.136836:0.176964:0.120430:0.168129:0.120430:0.000000
x:@0.320913:0.181185:0.328368:0.181185:0.328368:0.164779:0.320913:0.164779:0.000000
i:@0.328303:0.184358:0.330545:0.184358:0.330545:0.175197:0.328303:0.175197:0.000000
0:@0.396970:0.181185:0.405953:0.181185:0.405953:0.165473:0.396970:0.165473:0.000000
1:@0.472697:0.181185:0.481680:0.181185:0.481680:0.165473:0.472697:0.165473:0.000000
2:@0.548425:0.181185:0.557408:0.181185:0.557408:0.165473:0.548425:0.165473:0.000000
3:@0.624152:0.181185:0.633135:0.181185:0.633135:0.165473:0.624152:0.165473:0.000000
4:@0.699880:0.181185:0.708863:0.181185:0.708863:0.165473:0.699880:0.165473:0.000000
p:@0.319991:0.213027:0.329250:0.213027:0.329250:0.196621:0.319991:0.196621:0.000000
i:@0.329205:0.216202:0.331447:0.216202:0.331447:0.207041:0.329205:0.207041:0.000000
0,1:@0.390958:0.213029:0.411979:0.213029:0.411979:0.197317:0.390958:0.197317:0.000000:0.000000:0.000000
0,2:@0.466685:0.213029:0.487706:0.213029:0.487706:0.197317:0.466685:0.197317:0.000000:0.000000:0.000000
0,3:@0.542412:0.213029:0.563433:0.213029:0.563433:0.197317:0.542412:0.197317:0.000000:0.000000:0.000000
0,3:@0.618140:0.213029:0.639161:0.213029:0.639161:0.197317:0.618140:0.197317:0.000000:0.000000:0.000000
0,1:@0.693867:0.213029:0.714888:0.213029:0.714888:0.197317:0.693867:0.197317:0.000000:0.000000:0.000000
a.  Cuál es la media o esperanza matemática de cada distribución?:@0.104633:0.260682:0.593283:0.260682:0.593283:0.244969:0.104633:0.244969:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b.  ¿Cuál de las dos empresas tiene mayor varianza?:@0.104633:0.351145:0.485050:0.351145:0.485050:0.335433:0.104633:0.335433:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
c.  ¿Cuál de las dos empresas mantiene una mejor organización en cuanto al uso del transporte para repartir :@0.104633:0.441609:0.931207:0.441609:0.931207:0.425896:0.104633:0.425896:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mercancías? ¿Por qué?:@0.134760:0.458251:0.297985:0.458251:0.297985:0.442538:0.134760:0.442538:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4.  Analiza y decide los procedimientos para resolver el siguiente problema.:@0.073089:0.545141:0.649676:0.545141:0.649676:0.528472:0.073089:0.528472:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Supón que la variable aleatoria   representa el número de arandelas defectuosas que produce una máquina :@0.101558:0.579645:0.930541:0.579645:0.930541:0.562976:0.101558:0.562976:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.342600:0.579645:0.352191:0.579645:0.352191:0.562962:0.342600:0.562962:0.000000
de una fábrica. Se obtiene una muestra de tres partes y se somete a prueba. Se obtiene la siguiente distribución :@0.101576:0.596287:0.931266:0.596287:0.931266:0.579617:0.101576:0.579617:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de probabilidad::@0.101576:0.612929:0.226613:0.612929:0.226613:0.596259:0.101576:0.596259:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.331357:0.657284:0.338811:0.657284:0.338811:0.640878:0.331357:0.640878:0.000000
i:@0.338745:0.660457:0.340987:0.660457:0.340987:0.651296:0.338745:0.651296:0.000000
0:@0.421125:0.657284:0.430108:0.657284:0.430108:0.641572:0.421125:0.641572:0.000000
1:@0.510566:0.657284:0.519549:0.657284:0.519549:0.641572:0.510566:0.641572:0.000000
2:@0.600007:0.657284:0.608990:0.657284:0.608990:0.641572:0.600007:0.641572:0.000000
3:@0.689448:0.657284:0.698431:0.657284:0.698431:0.641572:0.689448:0.641572:0.000000
p:@0.330451:0.689126:0.339710:0.689126:0.339710:0.672720:0.330451:0.672720:0.000000
i:@0.339646:0.692301:0.341889:0.692301:0.341889:0.683140:0.339646:0.683140:0.000000
0,32:@0.410662:0.689128:0.440592:0.689128:0.440592:0.673416:0.410662:0.673416:0.000000:0.000000:0.000000:0.000000
0,24:@0.500102:0.689128:0.530033:0.689128:0.530033:0.673416:0.500102:0.673416:0.000000:0.000000:0.000000:0.000000
0,30:@0.589543:0.689128:0.619474:0.689128:0.619474:0.673416:0.589543:0.673416:0.000000:0.000000:0.000000:0.000000
0,14:@0.678984:0.689128:0.708914:0.689128:0.708914:0.673416:0.678984:0.673416:0.000000:0.000000:0.000000:0.000000
a.  ¿Cuál es la varianza de la distribución de probabilidad?:@0.104633:0.736781:0.529014:0.736781:0.529014:0.721068:0.104633:0.721068:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b.  ¿La varianza puede ser un número negativo? ¿Por qué?:@0.104633:0.823670:0.532714:0.823670:0.532714:0.807957:0.104633:0.807957:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
MUESTRA EDITORIAL:@0.248902:0.947499:0.888171:0.113285:0.743922:0.050540:0.104653:0.884754:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Muestra editorial solo para fines didácticos – Prohibida su venta:@0.095585:0.659700:0.095585:0.341447:0.077558:0.341447:0.077558:0.659700:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000