55:@0.922460:0.966765:0.939432:0.966765:0.939432:0.950778:0.922460:0.950778:0.000000:0.000000
2. :@0.108233:0.096411:0.124590:0.096411:0.124590:0.079697:0.108233:0.079697:0.000000:0.000000:0.000000
Considera el conjunto de datos:@0.131968:0.096194:0.354017:0.096194:0.354017:0.079697:0.131968:0.079697:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.113545:0.112375:0.113545:0.112375:0.097047:0.108233:0.097047:0.000000
A :@0.131968:0.113661:0.147380:0.113661:0.147380:0.097192:0.131968:0.097192:0.000000:0.000000
= {46, 45, 35, 37, 38, 44, 35, 46, 47, 40, 37, 47, 46, 36, 44}, que  :@0.149518:0.113545:0.599902:0.113545:0.599902:0.097047:0.149518:0.097047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
corresponden a los tiempos medidos en minutos de un ciclista :@0.131968:0.130896:0.599902:0.130896:0.599902:0.114398:0.131968:0.114398:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que recorre cierta distancia en estos últimos quince días.:@0.131968:0.148246:0.530868:0.148246:0.530868:0.131749:0.131968:0.131749:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.165597:0.112375:0.165597:0.112375:0.149100:0.108233:0.149100:0.000000
 :@0.108233:0.182948:0.112375:0.182948:0.112375:0.166450:0.108233:0.166450:0.000000
Calculemos el rango, la media aritmética, la varianza y la desvia-:@0.131968:0.182948:0.595775:0.182948:0.595775:0.166450:0.131968:0.166450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ción estándar.:@0.131968:0.200299:0.229893:0.200299:0.229893:0.183801:0.131968:0.183801:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.217649:0.112375:0.217649:0.112375:0.201152:0.108233:0.201152:0.000000
 :@0.108233:0.235000:0.112375:0.235000:0.112375:0.218503:0.108233:0.218503:0.000000
Para el efecto, ordenamos a este conjunto de menor a mayor. Tenemos:@0.131968:0.235000:0.595833:0.235000:0.595833:0.218503:0.131968:0.218503:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.252351:0.112375:0.252351:0.112375:0.235853:0.108233:0.235853:0.000000
E :@0.131968:0.252467:0.144066:0.252467:0.144066:0.235998:0.131968:0.235998:0.000000:0.000000
= {35, 35, 36, 37, 37, 38, 40, 44, 44, 45, 46, 46, 46, 47, 47}, y luego :@0.144914:0.252351:0.599765:0.252351:0.599765:0.235853:0.144914:0.235853:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
obtenemos el conjunto con datos agrupados::@0.131968:0.269702:0.454622:0.269702:0.454622:0.253204:0.131968:0.253204:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.324270:0.112375:0.324270:0.112375:0.307772:0.108233:0.307772:0.000000
a:@0.183140:0.295433:0.190946:0.295433:0.190946:0.281112:0.183140:0.281112:0.000000
i:@0.190846:0.298241:0.192770:0.298241:0.192770:0.289892:0.190846:0.289892:0.000000
35:@0.218558:0.295332:0.233333:0.295332:0.233333:0.280987:0.218558:0.280987:0.000000:0.000000
36:@0.256552:0.295332:0.271328:0.295332:0.271328:0.280987:0.256552:0.280987:0.000000:0.000000
37:@0.294547:0.295332:0.309322:0.295332:0.309322:0.280987:0.294547:0.280987:0.000000:0.000000
38:@0.332541:0.295332:0.347317:0.295332:0.347317:0.280987:0.332541:0.280987:0.000000:0.000000
40:@0.370535:0.295332:0.385311:0.295332:0.385311:0.280987:0.370535:0.280987:0.000000:0.000000
44:@0.408530:0.295332:0.423305:0.295332:0.423305:0.280987:0.408530:0.280987:0.000000:0.000000
45:@0.446524:0.295332:0.461300:0.295332:0.461300:0.280987:0.446524:0.280987:0.000000:0.000000
46:@0.484519:0.295332:0.499294:0.295332:0.499294:0.280987:0.484519:0.280987:0.000000:0.000000
47:@0.522513:0.295332:0.537289:0.295332:0.537289:0.280987:0.522513:0.280987:0.000000:0.000000
f:@0.184969:0.311979:0.188705:0.311979:0.188705:0.297658:0.184969:0.297658:0.000000
i:@0.189062:0.314786:0.190986:0.314786:0.190986:0.306437:0.189062:0.306437:0.000000
2:@0.222252:0.311877:0.229639:0.311877:0.229639:0.297531:0.222252:0.297531:0.000000
1:@0.260246:0.311877:0.267634:0.311877:0.267634:0.297531:0.260246:0.297531:0.000000
2:@0.298240:0.311877:0.305628:0.311877:0.305628:0.297531:0.298240:0.297531:0.000000
1:@0.336235:0.311877:0.343623:0.311877:0.343623:0.297531:0.336235:0.297531:0.000000
1:@0.374229:0.311877:0.381617:0.311877:0.381617:0.297531:0.374229:0.297531:0.000000
2:@0.412224:0.311877:0.419612:0.311877:0.419612:0.297531:0.412224:0.297531:0.000000
1:@0.450218:0.311877:0.457606:0.311877:0.457606:0.297531:0.450218:0.297531:0.000000
3:@0.488213:0.311877:0.495600:0.311877:0.495600:0.297531:0.488213:0.297531:0.000000
2:@0.526207:0.311877:0.533595:0.311877:0.533595:0.297531:0.526207:0.297531:0.000000
Cálculamos el rango:@0.108233:0.353395:0.263839:0.353395:0.263839:0.336449:0.108233:0.336449:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
: de la tabla se tiene :@0.263839:0.352933:0.407654:0.352933:0.407654:0.336435:0.263839:0.336435:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
t:@0.407885:0.353048:0.413549:0.353048:0.413549:0.336579:0.407885:0.336579:0.000000
mín:@0.413343:0.356278:0.429528:0.356278:0.429528:0.346677:0.413343:0.346677:0.000000:0.000000:0.000000
 = 35 minutos, :@0.429527:0.352933:0.537143:0.352933:0.537143:0.336435:0.429527:0.336435:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
t:@0.537374:0.353048:0.543038:0.353048:0.543038:0.336579:0.537374:0.336579:0.000000
máx :@0.542846:0.356278:0.563466:0.356278:0.563466:0.346677:0.542846:0.346677:0.000000:0.000000:0.000000:0.000000
= 47 :@0.563598:0.352933:0.599913:0.352933:0.599913:0.336435:0.563598:0.336435:0.000000:0.000000:0.000000:0.000000:0.000000
minutos. Luego, el rango es:   = 47 – 35 = 12.:@0.108226:0.370283:0.427776:0.370283:0.427776:0.353786:0.108226:0.353786:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.307503:0.370399:0.317078:0.370399:0.317078:0.353930:0.307503:0.353930:0.000000
Cálculamos la varianza:@0.108226:0.405448:0.284763:0.405448:0.284763:0.388502:0.108226:0.388502:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
. Para el efecto, calculamos la media aritmé-:@0.284772:0.404985:0.595769:0.404985:0.595769:0.388487:0.284772:0.388487:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tica de los datos agrupados en la tabla de frecuencias: :@0.108226:0.422336:0.491406:0.422336:0.491406:0.405838:0.108226:0.405838:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
...:@0.233079:0.452521:0.240795:0.452521:0.240795:0.435708:0.233079:0.435708:0.000000:0.000000:0.000000
...:@0.227483:0.473460:0.235199:0.473460:0.235199:0.456647:0.227483:0.456647:0.000000:0.000000:0.000000
2353623738402 44 45 3462 47:@0.123483:0.496521:0.509209:0.496521:0.509209:0.479708:0.123483:0.479708:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.307510:0.517269:0.324749:0.517269:0.324749:0.500456:0.307510:0.500456:0.000000:0.000000
623:@0.123875:0.536926:0.149694:0.536926:0.149694:0.520113:0.123875:0.520113:0.000000:0.000000:0.000000
15:@0.127547:0.557674:0.144785:0.557674:0.144785:0.540861:0.127547:0.540861:0.000000:0.000000
41,53minutos.:@0.168366:0.546018:0.275527:0.546018:0.275527:0.529205:0.168366:0.529205:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
11:@0.148821:0.454793:0.168560:0.454793:0.168560:0.445062:0.148821:0.445062:0.000000:0.000000
22:@0.194971:0.454793:0.216358:0.454793:0.216358:0.445062:0.194971:0.445062:0.000000:0.000000
1:@0.171992:0.475723:0.177004:0.475723:0.177004:0.465992:0.171992:0.465992:0.000000
2:@0.203414:0.475723:0.208426:0.475723:0.208426:0.465992:0.203414:0.465992:0.000000
x:@0.109727:0.461939:0.117345:0.461939:0.117345:0.445155:0.109727:0.445155:0.000000
x:@0.155277:0.452641:0.162895:0.452641:0.162895:0.435857:0.155277:0.435857:0.000000
x:@0.201063:0.452641:0.208681:0.452641:0.208681:0.435857:0.201063:0.435857:0.000000
x:@0.277302:0.452641:0.284920:0.452641:0.284920:0.435857:0.277302:0.435857:0.000000
mm:@0.266371:0.454861:0.294997:0.454861:0.294997:0.445147:0.266371:0.445147:0.000000:0.000000
m:@0.263098:0.475792:0.271825:0.475792:0.271825:0.466077:0.263098:0.466077:0.000000
=:@0.122732:0.462381:0.133511:0.462381:0.133511:0.443181:0.122732:0.443181:0.000000
ƒ:@0.138812:0.453083:0.148629:0.453083:0.148629:0.433883:0.138812:0.433883:0.000000
+ƒ:@0.171149:0.453083:0.194297:0.453083:0.194297:0.433883:0.171149:0.433883:0.000000:0.000000
+ +ƒ:@0.220116:0.453083:0.265470:0.453083:0.265470:0.433883:0.220116:0.433883:0.000000:0.000000:0.000000:0.000000
ƒ+ƒ+ +ƒ:@0.161961:0.474022:0.262211:0.474022:0.262211:0.454822:0.161961:0.454822:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.108262:0.506190:0.119041:0.506190:0.119041:0.486990:0.108262:0.486990:0.000000
×:@0.133963:0.497084:0.144742:0.497084:0.144742:0.477883:0.133963:0.477883:0.000000
+:@0.165122:0.497084:0.175901:0.497084:0.175901:0.477883:0.165122:0.477883:0.000000
+ ×:@0.196713:0.497084:0.230483:0.497084:0.230483:0.477883:0.196713:0.477883:0.000000:0.000000:0.000000
+:@0.251294:0.497084:0.262073:0.497084:0.262073:0.477883:0.251294:0.477883:0.000000
+:@0.282885:0.497084:0.293664:0.497084:0.293664:0.477883:0.282885:0.477883:0.000000
+×:@0.314888:0.497084:0.348658:0.497084:0.348658:0.477883:0.314888:0.477883:0.000000:0.000000
+:@0.369902:0.497084:0.380681:0.497084:0.380681:0.477883:0.369902:0.477883:0.000000
+ ×:@0.401493:0.497084:0.434831:0.497084:0.434831:0.477883:0.401493:0.477883:0.000000:0.000000:0.000000
+ ×:@0.456055:0.497084:0.489845:0.497084:0.489845:0.477883:0.456055:0.477883:0.000000:0.000000:0.000000
=:@0.108262:0.546580:0.119041:0.546580:0.119041:0.527380:0.108262:0.527380:0.000000
=:@0.154303:0.546580:0.165082:0.546580:0.165082:0.527380:0.154303:0.527380:0.000000
 :@0.543795:0.560185:0.547937:0.560185:0.547937:0.543687:0.543795:0.543687:0.000000
Calculamos la varianza de los datos agrupados. Para ello, obtenemos :@0.108227:0.577536:0.599954:0.577536:0.599954:0.561038:0.108227:0.561038:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el siguiente conjunto de desvíos::@0.108227:0.594886:0.337522:0.594886:0.337522:0.578389:0.108227:0.578389:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(  –  ):@0.116555:0.626551:0.158132:0.626551:0.158132:0.612205:0.116555:0.612205:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.121731:0.626651:0.128231:0.626651:0.128231:0.612331:0.121731:0.612331:0.000000
i:@0.128197:0.629459:0.130121:0.629459:0.130121:0.621110:0.128197:0.621110:0.000000
x:@0.146455:0.626651:0.152955:0.626651:0.152955:0.612331:0.146455:0.612331:0.000000
–6,53 –5,53 –4,53 –3,53 –1,53:@0.174934:0.626551:0.398596:0.626551:0.398596:0.612205:0.174934:0.612205:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2,47:@0.416956:0.626551:0.441515:0.626551:0.441515:0.612205:0.416956:0.612205:0.000000:0.000000:0.000000:0.000000
3,47:@0.464449:0.626551:0.489008:0.626551:0.489008:0.612205:0.464449:0.612205:0.000000:0.000000:0.000000:0.000000
4,47:@0.511942:0.626551:0.536501:0.626551:0.536501:0.612205:0.511942:0.612205:0.000000:0.000000:0.000000:0.000000
5,47:@0.559435:0.626551:0.583994:0.626551:0.583994:0.612205:0.559435:0.612205:0.000000:0.000000:0.000000:0.000000
f:@0.134343:0.643197:0.138079:0.643197:0.138079:0.628877:0.134343:0.628877:0.000000
i:@0.138449:0.646004:0.140373:0.646004:0.140373:0.637655:0.138449:0.637655:0.000000
2:@0.188092:0.643096:0.195480:0.643096:0.195480:0.628750:0.188092:0.628750:0.000000
1:@0.235585:0.643096:0.242973:0.643096:0.242973:0.628750:0.235585:0.628750:0.000000
2:@0.283078:0.643096:0.290466:0.643096:0.290466:0.628750:0.283078:0.628750:0.000000
1:@0.330571:0.643096:0.337959:0.643096:0.337959:0.628750:0.330571:0.628750:0.000000
1:@0.378064:0.643096:0.385452:0.643096:0.385452:0.628750:0.378064:0.628750:0.000000
2:@0.425557:0.643096:0.432945:0.643096:0.432945:0.628750:0.425557:0.628750:0.000000
1:@0.473050:0.643096:0.480438:0.643096:0.480438:0.628750:0.473050:0.628750:0.000000
3:@0.520543:0.643096:0.527931:0.643096:0.527931:0.628750:0.520543:0.628750:0.000000
2:@0.568036:0.643096:0.575424:0.643096:0.575424:0.628750:0.568036:0.628750:0.000000
Con esta información, pasamos al cálculo de la varianza::@0.108233:0.670695:0.504650:0.670695:0.504650:0.654198:0.108233:0.654198:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Con este dato se calcula la desviación estándar::@0.108233:0.857997:0.442558:0.857997:0.442558:0.841499:0.108233:0.841499:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.307032:0.790159:0.314627:0.790159:0.314627:0.775411:0.307032:0.775411:0.000000
2–6,53:@0.256296:0.810788:0.307876:0.810788:0.307876:0.796040:0.256296:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
5,53:@0.348020:0.810788:0.374887:0.810788:0.374887:0.796040:0.348020:0.796040:0.000000:0.000000:0.000000:0.000000
2–4,53:@0.399738:0.810788:0.451318:0.810788:0.451318:0.796040:0.399738:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–3,53:@0.482145:0.810788:0.518346:0.810788:0.518346:0.796040:0.482145:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000
–1,53:@0.549173:0.810788:0.583961:0.810788:0.583961:0.796040:0.549173:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000
22,47:@0.608813:0.810788:0.651833:0.810788:0.651833:0.796040:0.608813:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000
3,47:@0.683039:0.810788:0.710663:0.810788:0.710663:0.796040:0.683039:0.796040:0.000000:0.000000:0.000000:0.000000
3 4,47:@0.735876:0.810788:0.778897:0.810788:0.778897:0.796040:0.735876:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
25,47:@0.804110:0.810788:0.846390:0.810788:0.846390:0.796040:0.804110:0.796040:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.549965:0.830344:0.565086:0.830344:0.565086:0.815596:0.549965:0.815596:0.000000:0.000000
315,7335:@0.256331:0.847587:0.313697:0.847587:0.313697:0.832839:0.256331:0.832839:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.276928:0.865786:0.292049:0.865786:0.292049:0.851038:0.276928:0.851038:0.000000:0.000000
22,5524.:@0.329731:0.855562:0.381948:0.855562:0.381948:0.840814:0.329731:0.840814:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.304598:0.924014:0.312193:0.924014:0.312193:0.909266:0.304598:0.909266:0.000000
22,5524 4,75.:@0.362860:0.913790:0.459458:0.913790:0.459458:0.899042:0.362860:0.899042:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.233826:0.772754:0.238222:0.772754:0.238222:0.764218:0.233826:0.764218:0.000000
2:@0.337256:0.752240:0.341652:0.752240:0.341652:0.743704:0.337256:0.743704:0.000000
1:@0.267149:0.773779:0.271545:0.773779:0.271545:0.765243:0.267149:0.765243:0.000000
2:@0.233826:0.812944:0.238222:0.812944:0.238222:0.804407:0.233826:0.804407:0.000000
2:@0.314050:0.801527:0.318446:0.801527:0.318446:0.792991:0.314050:0.792991:0.000000
2:@0.381066:0.801527:0.385462:0.801527:0.385462:0.792991:0.381066:0.792991:0.000000
2:@0.457492:0.801527:0.461888:0.801527:0.461888:0.792991:0.457492:0.792991:0.000000
2:@0.524508:0.801527:0.528904:0.801527:0.528904:0.792991:0.524508:0.792991:0.000000
2:@0.590118:0.801527:0.594514:0.801527:0.594514:0.792991:0.590118:0.792991:0.000000
2:@0.658351:0.801527:0.662747:0.801527:0.662747:0.792991:0.658351:0.792991:0.000000
2:@0.717183:0.801527:0.721579:0.801527:0.721579:0.792991:0.717183:0.792991:0.000000
2:@0.785415:0.801527:0.789811:0.801527:0.789811:0.792991:0.785415:0.792991:0.000000
2:@0.852900:0.801527:0.857296:0.801527:0.857296:0.792991:0.852900:0.792991:0.000000
2:@0.233836:0.848383:0.238232:0.848383:0.238232:0.839846:0.233836:0.839846:0.000000
2:@0.327390:0.886106:0.331786:0.886106:0.331786:0.877570:0.327390:0.877570:0.000000
1:@0.272166:0.907630:0.276562:0.907630:0.276562:0.899093:0.272166:0.899093:0.000000
x:@0.296537:0.761601:0.303219:0.761601:0.303219:0.746879:0.296537:0.746879:0.000000
x:@0.320940:0.761601:0.327622:0.761601:0.327622:0.746879:0.320940:0.746879:0.000000
n:@0.286806:0.790257:0.295176:0.790257:0.295176:0.775535:0.286806:0.775535:0.000000
x:@0.287048:0.895457:0.293730:0.895457:0.293730:0.880735:0.287048:0.880735:0.000000
x:@0.312416:0.895457:0.319098:0.895457:0.319098:0.880735:0.312416:0.880735:0.000000
n:@0.284362:0.924113:0.292731:0.924113:0.292731:0.909391:0.284362:0.909391:0.000000
i:@0.285130:0.763541:0.287094:0.763541:0.287094:0.755020:0.285130:0.755020:0.000000
i:@0.304408:0.763541:0.306372:0.763541:0.306372:0.755020:0.304408:0.755020:0.000000
i:@0.259661:0.773843:0.261625:0.773843:0.261625:0.765322:0.259661:0.765322:0.000000
m:@0.261436:0.745923:0.269091:0.745923:0.269091:0.737401:0.261436:0.737401:0.000000
i:@0.294525:0.897406:0.296488:0.897406:0.296488:0.888885:0.294525:0.888885:0.000000
i:@0.264680:0.907685:0.266644:0.907685:0.266644:0.899164:0.264680:0.899164:0.000000
n:@0.267720:0.879765:0.272565:0.879765:0.272565:0.871244:0.267720:0.871244:0.000000
∑:@0.255915:0.766025:0.274334:0.766025:0.274334:0.740762:0.255915:0.740762:0.000000
∑:@0.260934:0.899890:0.279353:0.899890:0.279353:0.874627:0.260934:0.874627:0.000000
σ:@0.218804:0.780440:0.229189:0.780440:0.234126:0.763598:0.223741:0.763598:0.000000
σ:@0.218808:0.820612:0.229193:0.820612:0.234130:0.803770:0.223745:0.803770:0.000000
σ:@0.218821:0.856053:0.229206:0.856053:0.234143:0.839212:0.223758:0.839212:0.000000
σ:@0.218802:0.914282:0.229187:0.914282:0.234124:0.897441:0.223739:0.897441:0.000000
(:@0.290184:0.764684:0.295919:0.764684:0.295919:0.742453:0.290184:0.742453:0.000000
):@0.331276:0.764684:0.337011:0.764684:0.337011:0.742453:0.331276:0.742453:0.000000
(:@0.265333:0.813958:0.271068:0.813958:0.271068:0.791727:0.265333:0.791727:0.000000
) (:@0.308061:0.813958:0.338457:0.813958:0.338457:0.791727:0.308061:0.791727:0.000000:0.000000:0.000000
):@0.375071:0.813958:0.380806:0.813958:0.380806:0.791727:0.375071:0.791727:0.000000
(:@0.408775:0.813958:0.414510:0.813958:0.414510:0.791727:0.408775:0.791727:0.000000
) (:@0.451502:0.813958:0.481899:0.813958:0.481899:0.791727:0.451502:0.791727:0.000000:0.000000:0.000000
) (:@0.518513:0.813958:0.548910:0.813958:0.548910:0.791727:0.518513:0.791727:0.000000:0.000000:0.000000
):@0.584129:0.813958:0.589864:0.813958:0.589864:0.791727:0.584129:0.791727:0.000000
(:@0.617815:0.813958:0.623550:0.813958:0.623550:0.791727:0.617815:0.791727:0.000000
) (:@0.652345:0.813958:0.682742:0.813958:0.682742:0.791727:0.652345:0.791727:0.000000:0.000000:0.000000
):@0.711175:0.813958:0.716910:0.813958:0.716910:0.791727:0.711175:0.791727:0.000000
(:@0.744482:0.813958:0.750217:0.813958:0.750217:0.791727:0.744482:0.791727:0.000000
):@0.779391:0.813958:0.785126:0.813958:0.785126:0.791727:0.779391:0.791727:0.000000
(:@0.813095:0.813958:0.818830:0.813958:0.818830:0.791727:0.813095:0.791727:0.000000
):@0.846884:0.813958:0.852619:0.813958:0.852619:0.791727:0.846884:0.791727:0.000000
(:@0.280017:0.898540:0.285752:0.898540:0.285752:0.876309:0.280017:0.876309:0.000000
):@0.321384:0.898540:0.327119:0.898540:0.327119:0.876309:0.321384:0.876309:0.000000
=:@0.242917:0.780428:0.252372:0.780428:0.252372:0.763586:0.242917:0.763586:0.000000
ƒ:@0.275708:0.761984:0.284319:0.761984:0.284319:0.745142:0.275708:0.745142:0.000000
−:@0.309962:0.761984:0.319417:0.761984:0.319417:0.745142:0.309962:0.745142:0.000000
−:@0.296736:0.790639:0.306191:0.790639:0.306191:0.773797:0.296736:0.773797:0.000000
=:@0.242917:0.820613:0.252372:0.820613:0.252372:0.803772:0.242917:0.803772:0.000000
+−:@0.321725:0.811268:0.348161:0.811268:0.348161:0.794427:0.321725:0.794427:0.000000:0.000000
+:@0.388736:0.811268:0.398191:0.811268:0.398191:0.794427:0.388736:0.794427:0.000000
+:@0.465167:0.811268:0.474622:0.811268:0.474622:0.794427:0.465167:0.794427:0.000000
+:@0.532177:0.811268:0.541632:0.811268:0.541632:0.794427:0.532177:0.794427:0.000000
+:@0.597793:0.811268:0.607248:0.811268:0.607248:0.794427:0.597793:0.794427:0.000000
+:@0.666027:0.811268:0.675481:0.811268:0.675481:0.794427:0.666027:0.794427:0.000000
+:@0.724857:0.811268:0.734312:0.811268:0.734312:0.794427:0.724857:0.794427:0.000000
+:@0.793090:0.811268:0.802545:0.811268:0.802545:0.794427:0.793090:0.794427:0.000000
=:@0.242935:0.856055:0.252389:0.856055:0.252389:0.839213:0.242935:0.839213:0.000000
=:@0.317678:0.856055:0.327133:0.856055:0.327133:0.839213:0.317678:0.839213:0.000000
=:@0.236272:0.914284:0.245727:0.914284:0.245727:0.897442:0.236272:0.897442:0.000000
−:@0.300096:0.895839:0.309551:0.895839:0.309551:0.878997:0.300096:0.878997:0.000000
−:@0.294310:0.924495:0.303765:0.924495:0.303765:0.907653:0.294310:0.907653:0.000000
=:@0.339170:0.914284:0.348625:0.914284:0.348625:0.897442:0.339170:0.897442:0.000000
=:@0.417048:0.914284:0.426502:0.914284:0.426502:0.897442:0.417048:0.897442:0.000000
=:@0.261965:0.774065:0.267437:0.774065:0.267437:0.764317:0.261965:0.764317:0.000000
=:@0.266972:0.907911:0.272445:0.907911:0.272445:0.898163:0.266972:0.898163:0.000000
1:@0.206258:0.737511:0.214697:0.737511:0.214697:0.721125:0.206258:0.721125:0.000000
2–6,53:@0.149885:0.760432:0.207196:0.760432:0.207196:0.744046:0.149885:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
5,53:@0.251800:0.760432:0.281652:0.760432:0.281652:0.744046:0.251800:0.744046:0.000000:0.000000:0.000000:0.000000
2–4,53:@0.309264:0.760432:0.366575:0.760432:0.366575:0.744046:0.309264:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–3,53:@0.400827:0.760432:0.441050:0.760432:0.441050:0.744046:0.400827:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000
–1,53:@0.475302:0.760432:0.513956:0.760432:0.513956:0.744046:0.475302:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000
22,47:@0.541568:0.760432:0.589368:0.760432:0.589368:0.744046:0.541568:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000
3,47:@0.624042:0.760432:0.654735:0.760432:0.654735:0.744046:0.624042:0.744046:0.000000:0.000000:0.000000:0.000000
3 4,47:@0.682749:0.760432:0.730550:0.760432:0.730550:0.744046:0.682749:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
25,47:@0.758564:0.760432:0.805541:0.760432:0.805541:0.744046:0.758564:0.744046:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.476182:0.782161:0.492983:0.782161:0.492983:0.765775:0.476182:0.765775:0.000000:0.000000
315,7335:@0.149923:0.801319:0.213663:0.801319:0.213663:0.784933:0.149923:0.784933:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.172809:0.821540:0.189610:0.821540:0.189610:0.805154:0.172809:0.805154:0.000000:0.000000
22,5524.:@0.231479:0.810180:0.289497:0.810180:0.289497:0.793794:0.231479:0.793794:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.203554:0.886240:0.211993:0.886240:0.211993:0.869853:0.203554:0.869853:0.000000
22,5524 4,75.:@0.268289:0.874880:0.375620:0.874880:0.375620:0.858493:0.268289:0.858493:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.124920:0.718173:0.129804:0.718173:0.129804:0.708688:0.124920:0.708688:0.000000
2:@0.239841:0.695380:0.244726:0.695380:0.244726:0.685895:0.239841:0.685895:0.000000
1:@0.161946:0.719312:0.166830:0.719312:0.166830:0.709827:0.161946:0.709827:0.000000
2:@0.124920:0.762828:0.129804:0.762828:0.129804:0.753343:0.124920:0.753343:0.000000
2:@0.214057:0.750143:0.218942:0.750143:0.218942:0.740658:0.214057:0.740658:0.000000
2:@0.288519:0.750143:0.293403:0.750143:0.293403:0.740658:0.288519:0.740658:0.000000
2:@0.373436:0.750143:0.378321:0.750143:0.378321:0.740658:0.373436:0.740658:0.000000
2:@0.447898:0.750143:0.452782:0.750143:0.452782:0.740658:0.447898:0.740658:0.000000
2:@0.520798:0.750143:0.525683:0.750143:0.525683:0.740658:0.520798:0.740658:0.000000
2:@0.596611:0.750143:0.601495:0.750143:0.601495:0.740658:0.596611:0.740658:0.000000
2:@0.661980:0.750143:0.666864:0.750143:0.666864:0.740658:0.661980:0.740658:0.000000
2:@0.737793:0.750143:0.742677:0.750143:0.742677:0.740658:0.737793:0.740658:0.000000
2:@0.812775:0.750143:0.817660:0.750143:0.817660:0.740658:0.812775:0.740658:0.000000
2:@0.124931:0.802204:0.129815:0.802204:0.129815:0.792719:0.124931:0.792719:0.000000
2:@0.228879:0.844120:0.233763:0.844120:0.233763:0.834636:0.228879:0.834636:0.000000
1:@0.167519:0.868035:0.172404:0.868035:0.172404:0.858551:0.167519:0.858551:0.000000
x:@0.194598:0.705781:0.202023:0.705781:0.202023:0.689423:0.194598:0.689423:0.000000
x:@0.221713:0.705781:0.229138:0.705781:0.229138:0.689423:0.221713:0.689423:0.000000
n:@0.183787:0.737621:0.193087:0.737621:0.193087:0.721263:0.183787:0.721263:0.000000
x:@0.184056:0.854510:0.191481:0.854510:0.191481:0.838152:0.184056:0.838152:0.000000
x:@0.212242:0.854510:0.219667:0.854510:0.219667:0.838152:0.212242:0.838152:0.000000
n:@0.181071:0.886349:0.190371:0.886349:0.190371:0.869991:0.181071:0.869991:0.000000
i:@0.181923:0.707937:0.184105:0.707937:0.184105:0.698469:0.181923:0.698469:0.000000
i:@0.203344:0.707937:0.205526:0.707937:0.205526:0.698469:0.203344:0.698469:0.000000
i:@0.153625:0.719383:0.155807:0.719383:0.155807:0.709915:0.153625:0.709915:0.000000
m:@0.155597:0.688361:0.164103:0.688361:0.164103:0.678893:0.155597:0.678893:0.000000
i:@0.192362:0.856674:0.194544:0.856674:0.194544:0.847206:0.192362:0.847206:0.000000
i:@0.159201:0.868096:0.161383:0.868096:0.161383:0.858628:0.159201:0.858628:0.000000
n:@0.162579:0.837073:0.167962:0.837073:0.167962:0.827605:0.162579:0.827605:0.000000
∑:@0.149464:0.710696:0.169929:0.710696:0.169929:0.682626:0.149464:0.682626:0.000000
∑:@0.155039:0.859435:0.175505:0.859435:0.175505:0.831365:0.155039:0.831365:0.000000
σ:@0.108229:0.726713:0.119768:0.726713:0.125253:0.708000:0.113714:0.708000:0.000000
σ:@0.108233:0.771349:0.119772:0.771349:0.125257:0.752636:0.113719:0.752636:0.000000
σ:@0.108247:0.810728:0.119786:0.810728:0.125272:0.792015:0.113733:0.792015:0.000000
σ:@0.108226:0.875427:0.119765:0.875427:0.125250:0.856714:0.113712:0.856714:0.000000
(:@0.187539:0.709207:0.193911:0.709207:0.193911:0.684505:0.187539:0.684505:0.000000
):@0.233196:0.709207:0.239568:0.709207:0.239568:0.684505:0.233196:0.684505:0.000000
(:@0.159926:0.763956:0.166299:0.763956:0.166299:0.739254:0.159926:0.739254:0.000000
) (:@0.207402:0.763956:0.241176:0.763956:0.241176:0.739254:0.207402:0.739254:0.000000:0.000000:0.000000
):@0.281857:0.763956:0.288230:0.763956:0.288230:0.739254:0.281857:0.739254:0.000000
(:@0.319305:0.763956:0.325677:0.763956:0.325677:0.739254:0.319305:0.739254:0.000000
) (:@0.366780:0.763956:0.400555:0.763956:0.400555:0.739254:0.366780:0.739254:0.000000:0.000000:0.000000
) (:@0.441236:0.763956:0.475010:0.763956:0.475010:0.739254:0.441236:0.739254:0.000000:0.000000:0.000000
):@0.514142:0.763956:0.520514:0.763956:0.520514:0.739254:0.514142:0.739254:0.000000
(:@0.551571:0.763956:0.557943:0.763956:0.557943:0.739254:0.551571:0.739254:0.000000
) (:@0.589938:0.763956:0.623712:0.763956:0.623712:0.739254:0.589938:0.739254:0.000000:0.000000:0.000000
):@0.655304:0.763956:0.661676:0.763956:0.661676:0.739254:0.655304:0.739254:0.000000
(:@0.692312:0.763956:0.698684:0.763956:0.698684:0.739254:0.692312:0.739254:0.000000
):@0.731100:0.763956:0.737472:0.763956:0.737472:0.739254:0.731100:0.739254:0.000000
(:@0.768548:0.763956:0.774920:0.763956:0.774920:0.739254:0.768548:0.739254:0.000000
):@0.806092:0.763956:0.812464:0.763956:0.812464:0.739254:0.806092:0.739254:0.000000
(:@0.176243:0.857935:0.182615:0.857935:0.182615:0.833234:0.176243:0.833234:0.000000
):@0.222206:0.857935:0.228578:0.857935:0.228578:0.833234:0.222206:0.833234:0.000000
=:@0.135020:0.726701:0.145526:0.726701:0.145526:0.707988:0.135020:0.707988:0.000000
ƒ:@0.171454:0.706207:0.181022:0.706207:0.181022:0.687494:0.171454:0.687494:0.000000
−:@0.209514:0.706207:0.220020:0.706207:0.220020:0.687494:0.209514:0.687494:0.000000
−:@0.194818:0.738046:0.205324:0.738046:0.205324:0.719333:0.194818:0.719333:0.000000
=:@0.135020:0.771351:0.145526:0.771351:0.145526:0.752638:0.135020:0.752638:0.000000
+−:@0.222584:0.760967:0.251957:0.760967:0.251957:0.742254:0.222584:0.742254:0.000000:0.000000
+:@0.297040:0.760967:0.307545:0.760967:0.307545:0.742254:0.297040:0.742254:0.000000
+:@0.381963:0.760967:0.392468:0.760967:0.392468:0.742254:0.381963:0.742254:0.000000
+:@0.456419:0.760967:0.466924:0.760967:0.466924:0.742254:0.456419:0.742254:0.000000
+:@0.529325:0.760967:0.539830:0.760967:0.539830:0.742254:0.529325:0.742254:0.000000
+:@0.605139:0.760967:0.615645:0.760967:0.615645:0.742254:0.605139:0.742254:0.000000
+:@0.670506:0.760967:0.681011:0.760967:0.681011:0.742254:0.670506:0.742254:0.000000
+:@0.746320:0.760967:0.756826:0.760967:0.756826:0.742254:0.746320:0.742254:0.000000
=:@0.135039:0.810730:0.145545:0.810730:0.145545:0.792017:0.135039:0.792017:0.000000
=:@0.218087:0.810730:0.228592:0.810730:0.228592:0.792017:0.218087:0.792017:0.000000
=:@0.127637:0.875428:0.138143:0.875428:0.138143:0.856715:0.127637:0.856715:0.000000
−:@0.198553:0.854934:0.209059:0.854934:0.209059:0.836221:0.198553:0.836221:0.000000
−:@0.192124:0.886774:0.202629:0.886774:0.202629:0.868061:0.192124:0.868061:0.000000
=:@0.241971:0.875414:0.252477:0.875414:0.252477:0.856701:0.241971:0.856701:0.000000
=:@0.328502:0.875414:0.339007:0.875414:0.339007:0.856701:0.328502:0.856701:0.000000
=:@0.156183:0.719630:0.162264:0.719630:0.162264:0.708799:0.156183:0.708799:0.000000
=:@0.161749:0.868349:0.167829:0.868349:0.167829:0.857518:0.161749:0.857518:0.000000
Competencia digital:@0.684804:0.106800:0.827156:0.106800:0.827156:0.091327:0.684804:0.091327:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Existen programas y :@0.685042:0.135427:0.818233:0.135427:0.818233:0.120364:0.685042:0.120364:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sof-:@0.818233:0.135533:0.840115:0.135533:0.840115:0.120496:0.818233:0.120496:0.000000:0.000000:0.000000:0.000000
tware:@0.638498:0.151375:0.674769:0.151375:0.674769:0.136338:0.638498:0.136338:0.000000:0.000000:0.000000:0.000000:0.000000
 educativos gratuitos que :@0.674769:0.151269:0.841767:0.151269:0.841767:0.136206:0.674769:0.136206:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
nos permiten analizar de forma :@0.638498:0.167111:0.844528:0.167111:0.844528:0.152048:0.638498:0.152048:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
rápida y efectiva los resultados :@0.638498:0.182953:0.839867:0.182953:0.839867:0.167890:0.638498:0.167890:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de un estudio estadístico. Así :@0.638498:0.198795:0.830437:0.198795:0.830437:0.183732:0.638498:0.183732:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
por ejemplo,   es un entorno :@0.638498:0.214637:0.831670:0.214637:0.831670:0.199574:0.638498:0.199574:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.724336:0.214743:0.733078:0.214743:0.733078:0.199706:0.724336:0.199706:0.000000
de lenguaje de programación :@0.638498:0.230479:0.831565:0.230479:0.831565:0.215416:0.638498:0.215416:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
con enfoque estadístico. :@0.638498:0.246321:0.799019:0.246321:0.799019:0.231258:0.638498:0.231258:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.638498:0.269397:0.647241:0.269397:0.647241:0.254361:0.638498:0.254361:0.000000
 es una implementación de un :@0.647241:0.269292:0.849047:0.269292:0.849047:0.254229:0.647241:0.254229:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
software:@0.638498:0.285239:0.692463:0.285239:0.692463:0.270203:0.638498:0.270203:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 libre del lenguaje   y es :@0.692465:0.285134:0.847765:0.285134:0.847765:0.270071:0.692465:0.270071:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.808961:0.285239:0.816156:0.285239:0.816156:0.270203:0.808961:0.270203:0.000000
un programa muy utilizado en :@0.638498:0.300976:0.839550:0.300976:0.839550:0.285913:0.638498:0.285913:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
investigación.:@0.638498:0.316818:0.725323:0.316818:0.725323:0.301755:0.638498:0.301755:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
p:@0.638503:0.447775:0.649984:0.447775:0.649984:0.437751:0.638503:0.437751:0.000000
 Programa estadístico R, que permite :@0.649984:0.448483:0.848505:0.448483:0.848505:0.437006:0.649984:0.437006:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.845598:0.448483:0.848480:0.448483:0.848480:0.437006:0.845598:0.437006:0.000000
      procesar información.:@0.638498:0.460553:0.763203:0.460553:0.763203:0.449076:0.638498:0.449076:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Indaga:@0.638503:0.485905:0.686135:0.485905:0.686135:0.470432:0.638503:0.470432:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 sobre otros :@0.686135:0.485482:0.766680:0.485482:0.766680:0.470419:0.686135:0.470419:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
software :@0.766680:0.485588:0.824426:0.485588:0.824426:0.470551:0.766680:0.470551:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
utilizados en análisis estadístico :@0.638503:0.501324:0.844270:0.501324:0.844270:0.486261:0.638503:0.486261:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y :@0.638503:0.517166:0.649427:0.517166:0.649427:0.502103:0.638503:0.502103:0.000000:0.000000
detalla:@0.649427:0.517589:0.697657:0.517589:0.697657:0.502116:0.649427:0.502116:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 las características que :@0.697657:0.517166:0.844317:0.517166:0.844317:0.502103:0.697657:0.502103:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
incluyen.:@0.638503:0.533008:0.695513:0.533008:0.695513:0.517945:0.638503:0.517945:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, 1954344133:@0.870968:0.433641:0.870968:0.362140:0.859499:0.362140:0.859499:0.433641:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 ©:@0.079553:0.731952:0.079553:0.720342:0.061505:0.720342:0.061505:0.731952:0.000000:0.000000
maya:@0.080774:0.720340:0.080774:0.684191:0.055786:0.684191:0.055786:0.720340:0.000000:0.000000:0.000000:0.000000
®EDUCACIÓN – Libro resuelto solo para fines didácticos – Prohibida su reproducción :@0.079553:0.684191:0.079553:0.268044:0.061505:0.268044:0.061505:0.684191:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000