Evaluación formativa:@0.367428:0.092326:0.761846:0.092326:0.761846:0.025337:0.367428:0.025337:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
56:@0.058599:0.966558:0.074760:0.966558:0.074760:0.950778:0.058599:0.950778:0.000000:0.000000
I.M.5.9.1.:@0.191276:0.124610:0.233680:0.124610:0.233680:0.114295:0.191276:0.114295:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Completa :@0.198557:0.179744:0.278718:0.179744:0.278718:0.162798:0.198557:0.162798:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el  proceso. :@0.283016:0.179282:0.366827:0.179282:0.366827:0.162784:0.283016:0.162784:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calcula:@0.371251:0.179744:0.428199:0.179744:0.428199:0.162798:0.371251:0.162798:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  la des-:@0.428199:0.179282:0.486842:0.179282:0.486842:0.162784:0.428199:0.162784:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
viación media absoluta y la varianza del :@0.198557:0.196632:0.491000:0.196632:0.491000:0.180135:0.198557:0.180135:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
conjunto de datos:@0.198557:0.213983:0.329195:0.213983:0.329195:0.197486:0.198557:0.197486:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
V:@0.198557:0.231450:0.209307:0.231450:0.209307:0.214981:0.198557:0.214981:0.000000
 = {15, 23, 25, 27, 29, 44, 45}.:@0.209307:0.231334:0.403193:0.231334:0.403193:0.214836:0.209307:0.214836:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.161603:0.175713:0.173025:0.175713:0.173025:0.155083:0.161603:0.155083:0.000000
En  la  siguiente  tabla  se  muestra  un :@0.588988:0.141097:0.881416:0.141097:0.881416:0.124600:0.588988:0.124600:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.877274:0.141097:0.881416:0.141097:0.881416:0.124600:0.877274:0.124600:0.000000
conjunto de datos de una población::@0.588988:0.158448:0.851379:0.158448:0.851379:0.141951:0.588988:0.141951:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.552036:0.136271:0.563458:0.136271:0.563458:0.115642:0.552036:0.115642:0.000000
1,8:@0.626708:0.185199:0.643879:0.185199:0.643879:0.170853:0.626708:0.170853:0.000000:0.000000:0.000000
1,6:@0.674201:0.185199:0.691372:0.185199:0.691372:0.170853:0.674201:0.170853:0.000000:0.000000:0.000000
1,4:@0.721694:0.185199:0.738865:0.185199:0.738865:0.170853:0.721694:0.170853:0.000000:0.000000:0.000000
1,7:@0.769187:0.185199:0.786358:0.185199:0.786358:0.170853:0.769187:0.170853:0.000000:0.000000:0.000000
1,9:@0.816680:0.185199:0.833851:0.185199:0.833851:0.170853:0.816680:0.170853:0.000000:0.000000:0.000000
2,2:@0.626725:0.201745:0.643896:0.201745:0.643896:0.187399:0.626725:0.187399:0.000000:0.000000:0.000000
2,8:@0.674218:0.201745:0.691389:0.201745:0.691389:0.187399:0.674218:0.187399:0.000000:0.000000:0.000000
2,3:@0.721711:0.201745:0.738882:0.201745:0.738882:0.187399:0.721711:0.187399:0.000000:0.000000:0.000000
1,4:@0.769204:0.201745:0.786375:0.201745:0.786375:0.187399:0.769204:0.187399:0.000000:0.000000:0.000000
2,2:@0.816697:0.201745:0.833868:0.201745:0.833868:0.187399:0.816697:0.187399:0.000000:0.000000:0.000000
1,4:@0.626742:0.219561:0.643913:0.219561:0.643913:0.205215:0.626742:0.205215:0.000000:0.000000:0.000000
2,1:@0.674235:0.219561:0.691406:0.219561:0.691406:0.205215:0.674235:0.205215:0.000000:0.000000:0.000000
2,1:@0.721728:0.219561:0.738899:0.219561:0.738899:0.205215:0.721728:0.205215:0.000000:0.000000:0.000000
2,9:@0.769221:0.219561:0.786392:0.219561:0.786392:0.205215:0.769221:0.205215:0.000000:0.000000:0.000000
1,4:@0.816714:0.219561:0.833885:0.219561:0.833885:0.205215:0.816714:0.205215:0.000000:0.000000:0.000000
2,2:@0.626758:0.237377:0.643929:0.237377:0.643929:0.223031:0.626758:0.223031:0.000000:0.000000:0.000000
1,6:@0.674251:0.237377:0.691423:0.237377:0.691423:0.223031:0.674251:0.223031:0.000000:0.000000:0.000000
2,1:@0.721744:0.237377:0.738916:0.237377:0.738916:0.223031:0.721744:0.223031:0.000000:0.000000:0.000000
2,0:@0.769237:0.237377:0.786409:0.237377:0.786409:0.223031:0.769237:0.223031:0.000000:0.000000:0.000000
1,8:@0.816730:0.237377:0.833902:0.237377:0.833902:0.223031:0.816730:0.223031:0.000000:0.000000:0.000000
a):@0.557896:0.909962:0.572345:0.909962:0.572345:0.893247:0.557896:0.893247:0.000000:0.000000
 :@0.572248:0.909745:0.576391:0.909745:0.576391:0.893247:0.572248:0.893247:0.000000
Ordena:@0.581631:0.910207:0.639446:0.910207:0.639446:0.893261:0.581631:0.893261:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 los datos de menor a mayor y :@0.639349:0.909745:0.863019:0.909745:0.863019:0.893247:0.639349:0.893247:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ela-:@0.864002:0.910207:0.891763:0.910207:0.891763:0.893261:0.864002:0.893261:0.000000:0.000000:0.000000:0.000000
bora:@0.581631:0.927558:0.617156:0.927558:0.617156:0.910612:0.581631:0.910612:0.000000:0.000000:0.000000:0.000000
 una tabla con las frecuencias absolutas.:@0.617059:0.927095:0.891799:0.927095:0.891799:0.910598:0.617059:0.910598:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a):@0.557665:0.292737:0.572210:0.292737:0.572210:0.276023:0.557665:0.276023:0.000000:0.000000
 :@0.572210:0.292521:0.576352:0.292521:0.576352:0.276023:0.572210:0.276023:0.000000
Ordena:@0.581399:0.292983:0.639696:0.292983:0.639696:0.276037:0.581399:0.276037:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 en forma ascendente, de menor a :@0.639696:0.292521:0.895672:0.292521:0.895672:0.276023:0.639696:0.276023:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mayor.:@0.581399:0.309871:0.628599:0.309871:0.628599:0.293374:0.581399:0.293374:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
b):@0.557665:0.344790:0.573481:0.344790:0.573481:0.328075:0.557665:0.328075:0.000000:0.000000
 :@0.573289:0.344573:0.577431:0.344573:0.577431:0.328075:0.573289:0.328075:0.000000
Obtén:@0.581399:0.345035:0.629986:0.345035:0.629986:0.328090:0.581399:0.328090:0.000000:0.000000:0.000000:0.000000:0.000000
 las frecuencias absolutas de los datos.:@0.629794:0.344573:0.891372:0.344573:0.891372:0.328075:0.629794:0.328075:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
c):@0.557665:0.380995:0.571998:0.380995:0.571998:0.364280:0.557665:0.364280:0.000000:0.000000
 :@0.571998:0.380778:0.576140:0.380778:0.576140:0.364280:0.571998:0.364280:0.000000
Obtén:@0.581399:0.381241:0.630757:0.381241:0.630757:0.364295:0.581399:0.364295:0.000000:0.000000:0.000000:0.000000:0.000000
 las medidas de dispersión: rango, :@0.630757:0.380778:0.870760:0.380778:0.870760:0.364280:0.630757:0.364280:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
varianza y desviación estándar.:@0.581399:0.398129:0.797018:0.398129:0.797018:0.381631:0.581399:0.381631:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.557665:0.415480:0.561807:0.415480:0.561807:0.398982:0.557665:0.398982:0.000000
d):@0.557665:0.433047:0.573867:0.433047:0.573867:0.416333:0.557665:0.416333:0.000000:0.000000
 :@0.573867:0.432830:0.578009:0.432830:0.578009:0.416333:0.573867:0.416333:0.000000
Obtén:@0.581399:0.433293:0.630757:0.433293:0.630757:0.416347:0.581399:0.416347:0.000000:0.000000:0.000000:0.000000:0.000000
 el coeficiente de variación.:@0.630757:0.432830:0.821406:0.432830:0.821406:0.416333:0.630757:0.416333:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
e):@0.557665:0.467749:0.572248:0.467749:0.572248:0.451034:0.557665:0.451034:0.000000:0.000000
 :@0.572248:0.467532:0.576391:0.467532:0.576391:0.451034:0.572248:0.451034:0.000000
Analiza:@0.581399:0.467994:0.638714:0.467994:0.638714:0.451049:0.581399:0.451049:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 los resultados.:@0.638714:0.467532:0.742551:0.467532:0.742551:0.451034:0.638714:0.451034:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
a):@0.167312:0.282038:0.181857:0.282038:0.181857:0.265323:0.167312:0.265323:0.000000:0.000000
 :@0.181857:0.281821:0.185999:0.281821:0.185999:0.265323:0.181857:0.265323:0.000000
Calcula :@0.191047:0.282284:0.252019:0.282284:0.252019:0.265338:0.191047:0.265338:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la media aritmética.:@0.252019:0.281821:0.391170:0.281821:0.391170:0.265323:0.252019:0.265323:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.167312:0.358829:0.171454:0.358829:0.171454:0.342332:0.167312:0.342332:0.000000
15 23 25 27 29 44 45:@0.220601:0.308628:0.436932:0.308628:0.436932:0.290998:0.220601:0.290998:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.324433:0.330378:0.333512:0.330378:0.333512:0.312748:0.324433:0.312748:0.000000
,:@0.441075:0.318170:0.444019:0.318170:0.444019:0.300540:0.441075:0.300540:0.000000
x:@0.191784:0.318293:0.199772:0.318293:0.199772:0.300694:0.191784:0.300694:0.000000
x:@0.191784:0.354603:0.199772:0.354603:0.199772:0.337005:0.191784:0.337005:0.000000
=:@0.205441:0.318850:0.216743:0.318850:0.216743:0.301452:0.205441:0.301452:0.000000
+:@0.240130:0.309301:0.251432:0.309301:0.251432:0.291903:0.240130:0.291903:0.000000
+:@0.272802:0.309301:0.284104:0.309301:0.284104:0.291903:0.272802:0.291903:0.000000
+:@0.305474:0.309301:0.316776:0.309301:0.316776:0.291903:0.305474:0.291903:0.000000
+:@0.338598:0.309301:0.349901:0.309301:0.349901:0.291903:0.338598:0.291903:0.000000
+:@0.371723:0.309301:0.383026:0.309301:0.383026:0.291903:0.371723:0.291903:0.000000
+:@0.405280:0.309301:0.416583:0.309301:0.416583:0.291903:0.405280:0.291903:0.000000
=:@0.205441:0.355155:0.216743:0.355155:0.216743:0.337757:0.205441:0.337757:0.000000
 :@0.167315:0.393542:0.171457:0.393542:0.171457:0.377044:0.167315:0.377044:0.000000
El conjunto de desvíos   (desviaciones) está :@0.191050:0.393542:0.505320:0.393542:0.505320:0.377044:0.191050:0.377044:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
D:@0.352819:0.393658:0.364455:0.393658:0.364455:0.377189:0.352819:0.377189:0.000000
dado como:@0.191050:0.410893:0.273931:0.410893:0.273931:0.394395:0.191050:0.394395:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.167315:0.467673:0.171457:0.467673:0.171457:0.451176:0.167315:0.451176:0.000000
 :@0.167315:0.502379:0.171457:0.502379:0.171457:0.485881:0.167315:0.485881:0.000000
cuya desviación media absoluta es::@0.191050:0.502379:0.437776:0.502379:0.437776:0.485881:0.191050:0.485881:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.167315:0.598430:0.171457:0.598430:0.171457:0.581932:0.167315:0.581932:0.000000
14,71:@0.241559:0.527397:0.277786:0.527397:0.277786:0.512197:0.241559:0.512197:0.000000:0.000000:0.000000:0.000000:0.000000
6,71:@0.305991:0.527397:0.334445:0.527397:0.334445:0.512197:0.305991:0.512197:0.000000:0.000000:0.000000:0.000000
4,71:@0.362649:0.527397:0.391102:0.527397:0.391102:0.512197:0.362649:0.512197:0.000000:0.000000:0.000000:0.000000
2,71:@0.419307:0.527397:0.447760:0.527397:0.447760:0.512197:0.419307:0.512197:0.000000:0.000000:0.000000:0.000000
0,71 14,29:@0.241559:0.549805:0.323759:0.549805:0.323759:0.534605:0.241559:0.534605:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1529:@0.343089:0.549805:0.374187:0.549805:0.374187:0.534605:0.343089:0.534605:0.000000:0.000000:0.000000:0.000000
7:@0.341065:0.569255:0.348893:0.569255:0.348893:0.554055:0.341065:0.554055:0.000000
D:@0.191059:0.559224:0.201780:0.559224:0.201780:0.544051:0.191059:0.544051:0.000000
D:@0.191059:0.592742:0.201780:0.592742:0.201780:0.577568:0.191059:0.577568:0.000000
m:@0.201525:0.561224:0.209416:0.561224:0.209416:0.552441:0.201525:0.552441:0.000000
m:@0.201525:0.594746:0.209416:0.594746:0.209416:0.585964:0.201525:0.585964:0.000000
=:@0.214259:0.559704:0.224004:0.559704:0.224004:0.544704:0.214259:0.544704:0.000000
−:@0.231956:0.527985:0.241700:0.527985:0.241700:0.512985:0.231956:0.512985:0.000000
+ −:@0.281159:0.527985:0.306133:0.527985:0.306133:0.512985:0.281159:0.512985:0.000000:0.000000:0.000000
+ −:@0.337817:0.527985:0.362809:0.527985:0.362809:0.512985:0.337817:0.512985:0.000000:0.000000:0.000000
+ −:@0.394492:0.527985:0.419496:0.527984:0.419496:0.512983:0.394492:0.512985:0.000000:0.000000:0.000000
+:@0.451180:0.527984:0.460924:0.527984:0.460924:0.512983:0.451180:0.512983:0.000000
−:@0.231961:0.550391:0.241706:0.550391:0.241706:0.535391:0.231961:0.535391:0.000000
+:@0.273390:0.550391:0.283134:0.550391:0.283134:0.535391:0.273390:0.535391:0.000000
+:@0.328965:0.550391:0.338710:0.550391:0.338710:0.535391:0.328965:0.535391:0.000000
=:@0.214264:0.593221:0.224009:0.593221:0.224009:0.578220:0.214264:0.578220:0.000000
 :@0.167315:0.633136:0.171457:0.633136:0.171457:0.616638:0.167315:0.616638:0.000000
Cálculo de la varianza::@0.191050:0.633136:0.347559:0.633136:0.347559:0.616638:0.191050:0.616638:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.167315:0.810186:0.171457:0.810186:0.171457:0.793688:0.167315:0.793688:0.000000
–14,71:@0.231098:0.713091:0.272034:0.713091:0.272034:0.699514:0.231098:0.699514:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
6,71:@0.307707:0.713091:0.333137:0.713091:0.333137:0.699514:0.307707:0.699514:0.000000:0.000000:0.000000:0.000000
–4,71:@0.360232:0.713091:0.394223:0.713091:0.394223:0.699514:0.360232:0.699514:0.000000:0.000000:0.000000:0.000000:0.000000
–2,71:@0.231098:0.733248:0.265090:0.733248:0.265090:0.719671:0.231098:0.719671:0.000000:0.000000:0.000000:0.000000:0.000000
0,71:@0.292518:0.733248:0.317948:0.733248:0.317948:0.719671:0.292518:0.719671:0.000000:0.000000:0.000000:0.000000
14,29:@0.344393:0.733248:0.376736:0.733248:0.376736:0.719671:0.344393:0.719671:0.000000:0.000000:0.000000:0.000000:0.000000
15,29:@0.404814:0.733248:0.436824:0.733248:0.436824:0.719671:0.404814:0.719671:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.333501:0.751263:0.340493:0.751263:0.340493:0.737686:0.333501:0.737686:0.000000
7:@0.233207:0.785687:0.240199:0.785687:0.240199:0.772110:0.233207:0.772110:0.000000
2:@0.204904:0.675164:0.208951:0.675164:0.208951:0.667306:0.204904:0.667306:0.000000
2:@0.286402:0.656279:0.290449:0.656279:0.290449:0.648421:0.286402:0.648421:0.000000
1:@0.235563:0.676094:0.239610:0.676094:0.239610:0.668236:0.235563:0.668236:0.000000
2:@0.204895:0.735235:0.208942:0.735235:0.208942:0.727376:0.204895:0.727376:0.000000
2:@0.276409:0.704573:0.280456:0.704573:0.280456:0.696714:0.276409:0.696714:0.000000
2:@0.337497:0.704573:0.341544:0.704573:0.341544:0.696714:0.337497:0.696714:0.000000
2:@0.398586:0.704573:0.402633:0.704573:0.402633:0.696714:0.398586:0.696714:0.000000
2:@0.269471:0.724725:0.273518:0.724725:0.273518:0.716866:0.269471:0.716866:0.000000
2:@0.322338:0.724725:0.326385:0.724725:0.326385:0.716866:0.322338:0.716866:0.000000
2:@0.382793:0.724724:0.386840:0.724724:0.386840:0.716866:0.382793:0.716866:0.000000
2:@0.442891:0.724724:0.446938:0.724724:0.446938:0.716866:0.442891:0.716866:0.000000
2:@0.204904:0.769653:0.208951:0.769653:0.208951:0.761795:0.204904:0.761795:0.000000
2:@0.204904:0.799364:0.208951:0.799364:0.208951:0.791506:0.204904:0.791506:0.000000
x:@0.249280:0.664897:0.255431:0.664897:0.255431:0.651344:0.249280:0.651344:0.000000
x:@0.272633:0.664897:0.278785:0.664897:0.278785:0.651344:0.272633:0.651344:0.000000
n:@0.255146:0.691277:0.262851:0.691277:0.262851:0.677724:0.255146:0.677724:0.000000
i:@0.256173:0.666683:0.257981:0.666683:0.257981:0.658839:0.256173:0.658839:0.000000
i:@0.228680:0.676147:0.230488:0.676147:0.230488:0.668302:0.228680:0.668302:0.000000
n:@0.231477:0.650443:0.235937:0.650443:0.235937:0.642598:0.231477:0.642598:0.000000
∑:@0.225228:0.669077:0.242185:0.669077:0.242185:0.648980:0.225228:0.648980:0.000000
σ:@0.191064:0.682293:0.200625:0.682293:0.204552:0.668895:0.194992:0.668895:0.000000
σ:@0.191067:0.742371:0.200628:0.742371:0.204555:0.728973:0.194995:0.728973:0.000000
σ:@0.191063:0.776783:0.200624:0.776783:0.204551:0.763384:0.194991:0.763384:0.000000
σ:@0.191058:0.806494:0.200618:0.806494:0.204546:0.793096:0.194986:0.793096:0.000000
(:@0.242818:0.667814:0.248098:0.667814:0.248098:0.650129:0.242818:0.650129:0.000000
):@0.280901:0.667814:0.286180:0.667814:0.286180:0.650129:0.280901:0.650129:0.000000
(:@0.225585:0.716097:0.230864:0.716097:0.230864:0.698411:0.225585:0.698411:0.000000
) (:@0.270912:0.716097:0.298895:0.716097:0.298895:0.698411:0.270912:0.698411:0.000000:0.000000:0.000000
) (:@0.331999:0.716097:0.359982:0.716097:0.359982:0.698411:0.331999:0.698411:0.000000:0.000000:0.000000
):@0.393085:0.716097:0.398365:0.716097:0.398365:0.698411:0.393085:0.698411:0.000000
(:@0.225585:0.736264:0.230864:0.736264:0.230864:0.718579:0.225585:0.718579:0.000000
) (:@0.263968:0.736264:0.291951:0.736264:0.291951:0.718579:0.263968:0.718579:0.000000:0.000000:0.000000
) (:@0.316826:0.736264:0.344809:0.736264:0.344809:0.718579:0.316826:0.718579:0.000000:0.000000:0.000000
) (:@0.377263:0.736264:0.405262:0.736264:0.405262:0.718579:0.377263:0.718579:0.000000:0.000000:0.000000
):@0.437382:0.736264:0.442662:0.736264:0.442662:0.718579:0.437382:0.718579:0.000000
=:@0.213264:0.682302:0.221968:0.682302:0.221968:0.668903:0.213264:0.668903:0.000000
−:@0.261302:0.665322:0.270006:0.665322:0.270006:0.651924:0.261302:0.651924:0.000000
=:@0.213264:0.742368:0.221968:0.742368:0.221968:0.728969:0.213264:0.728969:0.000000
+−:@0.283483:0.713608:0.307819:0.713608:0.307819:0.700210:0.283483:0.700210:0.000000:0.000000
+:@0.344569:0.713608:0.353273:0.713608:0.353273:0.700210:0.344569:0.700210:0.000000
+:@0.405656:0.713608:0.414360:0.713608:0.414360:0.700210:0.405656:0.700210:0.000000
+:@0.276538:0.733765:0.285242:0.733765:0.285242:0.720366:0.276538:0.720366:0.000000
+:@0.329397:0.733765:0.338101:0.733765:0.338101:0.720366:0.329397:0.720366:0.000000
+:@0.389849:0.733765:0.398553:0.733765:0.398553:0.720366:0.389849:0.720366:0.000000
=:@0.213248:0.776780:0.221952:0.776780:0.221952:0.763381:0.213248:0.763381:0.000000
=:@0.213264:0.806498:0.221968:0.806498:0.221968:0.793100:0.213264:0.793100:0.000000
=:@0.230797:0.676398:0.235835:0.676398:0.235835:0.668643:0.230797:0.668643:0.000000
b):@0.167314:0.845101:0.183323:0.845101:0.183323:0.828387:0.167314:0.828387:0.000000:0.000000
 :@0.183323:0.844884:0.187465:0.844884:0.187465:0.828387:0.183323:0.828387:0.000000
Define :@0.191049:0.845347:0.245799:0.845347:0.245799:0.828401:0.191049:0.828401:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿qué es la varianza?:@0.245799:0.844884:0.380559:0.844884:0.380559:0.828387:0.245799:0.828387:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Resuelve:@0.589137:0.551956:0.655870:0.551956:0.655870:0.535010:0.589137:0.535010:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 en tu cuaderno y :@0.655872:0.551493:0.795852:0.551493:0.795852:0.534995:0.655872:0.534995:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
escribe:@0.798529:0.551956:0.853068:0.551956:0.853068:0.535010:0.798529:0.535010:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 en :@0.853052:0.551493:0.881563:0.551493:0.881563:0.534995:0.853052:0.534995:0.000000:0.000000:0.000000:0.000000
la cuadrícula la respuesta. En el colegio :@0.589137:0.568844:0.881565:0.568844:0.881565:0.552346:0.589137:0.552346:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
XYZ de la ciudad de Guayaquil se toma :@0.589137:0.586195:0.881505:0.586195:0.881505:0.569697:0.589137:0.569697:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una  muestra  de  la  estatura  medida en :@0.589137:0.603545:0.881572:0.603545:0.881572:0.587048:0.589137:0.587048:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
metros de 36 estudiantes del primero de :@0.589137:0.620896:0.881565:0.620896:0.881565:0.604398:0.589137:0.604398:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bachillerato, cuyos datos se muestran en :@0.589137:0.638247:0.881555:0.638247:0.881555:0.621749:0.589137:0.621749:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la tabla siguiente::@0.589137:0.655598:0.710258:0.655598:0.710258:0.639100:0.589137:0.639100:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3:@0.552185:0.546666:0.563607:0.546666:0.563607:0.526036:0.552185:0.526036:0.000000
1,54:@0.618849:0.688713:0.643408:0.688713:0.643408:0.674367:0.618849:0.674367:0.000000:0.000000:0.000000:0.000000
1,58:@0.666343:0.688713:0.690902:0.688713:0.690902:0.674367:0.666343:0.674367:0.000000:0.000000:0.000000:0.000000
1,65:@0.713836:0.688713:0.738395:0.688713:0.738395:0.674367:0.713836:0.674367:0.000000:0.000000:0.000000:0.000000
1,73:@0.761329:0.688713:0.785888:0.688713:0.785888:0.674367:0.761329:0.674367:0.000000:0.000000:0.000000:0.000000
1,62:@0.808822:0.688713:0.833381:0.688713:0.833381:0.674367:0.808822:0.674367:0.000000:0.000000:0.000000:0.000000
1,58:@0.618866:0.712778:0.643425:0.712778:0.643425:0.698432:0.618866:0.698432:0.000000:0.000000:0.000000:0.000000
1,59:@0.666359:0.712778:0.690918:0.712778:0.690918:0.698432:0.666359:0.698432:0.000000:0.000000:0.000000:0.000000
1,75:@0.713852:0.712778:0.738411:0.712778:0.738411:0.698432:0.713852:0.698432:0.000000:0.000000:0.000000:0.000000
1,62:@0.761345:0.712778:0.785904:0.712778:0.785904:0.698432:0.761345:0.698432:0.000000:0.000000:0.000000:0.000000
1,70:@0.808838:0.712778:0.833397:0.712778:0.833397:0.698432:0.808838:0.698432:0.000000:0.000000:0.000000:0.000000
1,65:@0.618883:0.736843:0.643442:0.736843:0.643442:0.722497:0.618883:0.722497:0.000000:0.000000:0.000000:0.000000
1,64:@0.666376:0.736843:0.690935:0.736843:0.690935:0.722497:0.666376:0.722497:0.000000:0.000000:0.000000:0.000000
1,68:@0.713869:0.736843:0.738428:0.736843:0.738428:0.722497:0.713869:0.722497:0.000000:0.000000:0.000000:0.000000
1,59:@0.761362:0.736843:0.785921:0.736843:0.785921:0.722497:0.761362:0.722497:0.000000:0.000000:0.000000:0.000000
1,60:@0.808855:0.736843:0.833414:0.736843:0.833414:0.722497:0.808855:0.722497:0.000000:0.000000:0.000000:0.000000
1,74:@0.618900:0.760907:0.643459:0.760907:0.643459:0.746561:0.618900:0.746561:0.000000:0.000000:0.000000:0.000000
1,77:@0.666393:0.760907:0.690952:0.760907:0.690952:0.746561:0.666393:0.746561:0.000000:0.000000:0.000000:0.000000
1,76:@0.713886:0.760907:0.738445:0.760907:0.738445:0.746561:0.713886:0.746561:0.000000:0.000000:0.000000:0.000000
1,67:@0.761379:0.760907:0.785938:0.760907:0.785938:0.746561:0.761379:0.746561:0.000000:0.000000:0.000000:0.000000
1,65:@0.808872:0.760907:0.833431:0.760907:0.833431:0.746561:0.808872:0.746561:0.000000:0.000000:0.000000:0.000000
1,68:@0.618916:0.784972:0.643475:0.784972:0.643475:0.770626:0.618916:0.770626:0.000000:0.000000:0.000000:0.000000
1,57:@0.666410:0.784972:0.690969:0.784972:0.690969:0.770626:0.666410:0.770626:0.000000:0.000000:0.000000:0.000000
1,64:@0.713903:0.784972:0.738462:0.784972:0.738462:0.770626:0.713903:0.770626:0.000000:0.000000:0.000000:0.000000
1,76:@0.761396:0.784972:0.785955:0.784972:0.785955:0.770626:0.761396:0.770626:0.000000:0.000000:0.000000:0.000000
1,58:@0.808889:0.784972:0.833448:0.784972:0.833448:0.770626:0.808889:0.770626:0.000000:0.000000:0.000000:0.000000
1,58:@0.618933:0.809037:0.643492:0.809037:0.643492:0.794691:0.618933:0.794691:0.000000:0.000000:0.000000:0.000000
1,62:@0.666426:0.809037:0.690985:0.809037:0.690985:0.794691:0.666426:0.794691:0.000000:0.000000:0.000000:0.000000
1,65:@0.713919:0.809037:0.738478:0.809037:0.738478:0.794691:0.713919:0.794691:0.000000:0.000000:0.000000:0.000000
1,66:@0.761412:0.809037:0.785971:0.809037:0.785971:0.794691:0.761412:0.794691:0.000000:0.000000:0.000000:0.000000
1,69:@0.808905:0.809037:0.833464:0.809037:0.833464:0.794691:0.808905:0.794691:0.000000:0.000000:0.000000:0.000000
1,64:@0.618950:0.833101:0.643509:0.833101:0.643509:0.818756:0.618950:0.818756:0.000000:0.000000:0.000000:0.000000
1,67:@0.666443:0.833101:0.691002:0.833101:0.691002:0.818756:0.666443:0.818756:0.000000:0.000000:0.000000:0.000000
1,71:@0.713936:0.833101:0.738495:0.833101:0.738495:0.818756:0.713936:0.818756:0.000000:0.000000:0.000000:0.000000
1,73:@0.761429:0.833101:0.785988:0.833101:0.785988:0.818756:0.761429:0.818756:0.000000:0.000000:0.000000:0.000000
1,69:@0.808922:0.833101:0.833481:0.833101:0.833481:0.818756:0.808922:0.818756:0.000000:0.000000:0.000000:0.000000
1,58:@0.618967:0.857166:0.643526:0.857166:0.643526:0.842820:0.618967:0.842820:0.000000:0.000000:0.000000:0.000000
1,69:@0.666460:0.857166:0.691019:0.857166:0.691019:0.842820:0.666460:0.842820:0.000000:0.000000:0.000000:0.000000
1,69:@0.713953:0.857166:0.738512:0.857166:0.738512:0.842820:0.713953:0.842820:0.000000:0.000000:0.000000:0.000000
1,68:@0.761446:0.857166:0.786005:0.857166:0.786005:0.842820:0.761446:0.842820:0.000000:0.000000:0.000000:0.000000
1,68:@0.808939:0.857166:0.833498:0.857166:0.833498:0.842820:0.808939:0.842820:0.000000:0.000000:0.000000:0.000000
,71:@0.277913:0.353594:0.291172:0.353594:0.291172:0.343502:0.277913:0.343502:0.000000:0.000000:0.000000
7:@0.242418:0.357307:0.247615:0.357307:0.247615:0.347215:0.242418:0.347215:0.000000
208:@0.237221:0.349064:0.252801:0.349064:0.252801:0.338971:0.237221:0.338971:0.000000:0.000000:0.000000
29:@0.267530:0.353594:0.277925:0.353594:0.277925:0.343502:0.267530:0.343502:0.000000:0.000000
=:@0.257745:0.353594:0.264356:0.353594:0.264356:0.343502:0.257745:0.343502:0.000000
, 845:@0.277029:0.590881:0.290294:0.590881:0.290294:0.580789:0.277029:0.580789:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.249318:0.594594:0.254516:0.594594:0.254516:0.584502:0.249318:0.584502:0.000000
59:@0.246726:0.586350:0.257120:0.586350:0.257120:0.576258:0.246726:0.576258:0.000000:0.000000
=:@0.262057:0.590881:0.268668:0.590881:0.268668:0.580789:0.262057:0.580789:0.000000
–2,71; –0,71; 14,29; 15,29:@0.227542:0.479567:0.332027:0.479567:0.332027:0.469525:0.227542:0.469525:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
525,22:@0.223625:0.768745:0.251159:0.768745:0.251159:0.758703:0.223625:0.758703:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los datos tienen una alta dispersión.:@0.584525:0.476681:0.740477:0.476681:0.740477:0.466638:0.584525:0.466638:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,4:@0.634540:0.303140:0.646560:0.303140:0.646560:0.293098:0.634540:0.293098:0.000000:0.000000:0.000000
1,4:@0.694850:0.303140:0.706870:0.303140:0.706870:0.293098:0.694850:0.293098:0.000000:0.000000:0.000000
1,4:@0.755160:0.303140:0.767180:0.303140:0.767180:0.293098:0.755160:0.293098:0.000000:0.000000:0.000000
1,4:@0.815471:0.303140:0.827491:0.303140:0.827491:0.293098:0.815471:0.293098:0.000000:0.000000:0.000000
1,6:@0.875781:0.303140:0.887801:0.303140:0.887801:0.293098:0.875781:0.293098:0.000000:0.000000:0.000000
1,6:@0.634540:0.311941:0.646560:0.311941:0.646560:0.301899:0.634540:0.301899:0.000000:0.000000:0.000000
1,7:@0.694850:0.311941:0.706870:0.311941:0.706870:0.301899:0.694850:0.301899:0.000000:0.000000:0.000000
1,8:@0.755160:0.311941:0.767180:0.311941:0.767180:0.301899:0.755160:0.301899:0.000000:0.000000:0.000000
1,8:@0.815471:0.311941:0.827491:0.311941:0.827491:0.301899:0.815471:0.301899:0.000000:0.000000:0.000000
1,9:@0.875781:0.311941:0.887801:0.311941:0.887801:0.301899:0.875781:0.301899:0.000000:0.000000:0.000000
2:@0.634540:0.320743:0.639711:0.320743:0.639711:0.310700:0.634540:0.310700:0.000000
2,1:@0.694850:0.320743:0.706870:0.320743:0.706870:0.310700:0.694850:0.310700:0.000000:0.000000:0.000000
2,1:@0.755160:0.320743:0.767180:0.320743:0.767180:0.310700:0.755160:0.310700:0.000000:0.000000:0.000000
2,1:@0.815471:0.320743:0.827491:0.320743:0.827491:0.310700:0.815471:0.310700:0.000000:0.000000:0.000000
2,2:@0.875781:0.320743:0.887801:0.320743:0.887801:0.310700:0.875781:0.310700:0.000000:0.000000:0.000000
2,2:@0.634540:0.329544:0.646560:0.329544:0.646560:0.319502:0.634540:0.319502:0.000000:0.000000:0.000000
2,2:@0.694850:0.329544:0.706870:0.329544:0.706870:0.319502:0.694850:0.319502:0.000000:0.000000:0.000000
2,3:@0.755160:0.329544:0.767180:0.329544:0.767180:0.319502:0.755160:0.319502:0.000000:0.000000:0.000000
2,8:@0.815471:0.329544:0.827491:0.329544:0.827491:0.319502:0.815471:0.319502:0.000000:0.000000:0.000000
2,9:@0.875781:0.329544:0.887801:0.329544:0.887801:0.319502:0.875781:0.319502:0.000000:0.000000:0.000000
75,03:@0.229735:0.804187:0.252098:0.804187:0.252098:0.794145:0.229735:0.794145:0.000000:0.000000:0.000000:0.000000:0.000000
La varianza es una medida de dispersión que representa la :@0.191893:0.862389:0.444271:0.862389:0.444271:0.852347:0.191893:0.852347:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variabilidad de una serie de datos respecto a su media.:@0.191893:0.871190:0.426306:0.871190:0.426306:0.861148:0.191893:0.861148:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
; =:@0.617570:0.446132:0.637260:0.446132:0.637260:0.436040:0.617570:0.436040:0.000000:0.000000:0.000000
, 09:@0.649980:0.449843:0.658059:0.449843:0.658059:0.439751:0.649980:0.439751:0.000000:0.000000:0.000000:0.000000
, 044:@0.647388:0.441078:0.660652:0.441078:0.660652:0.430986:0.647388:0.430986:0.000000:0.000000:0.000000:0.000000:0.000000
,4:@0.714167:0.446132:0.722246:0.446132:0.722246:0.436040:0.714167:0.436040:0.000000:0.000000
V:@0.586179:0.446203:0.592755:0.446203:0.592755:0.436128:0.586179:0.436128:0.000000
X:@0.608064:0.451442:0.614157:0.451442:0.614157:0.441367:0.608064:0.441367:0.000000
V:@0.620902:0.446203:0.627478:0.446203:0.627478:0.436128:0.620902:0.436128:0.000000
100 =:@0.675235:0.446132:0.700606:0.446132:0.700606:0.436040:0.675235:0.436040:0.000000:0.000000:0.000000:0.000000:0.000000
44:@0.703790:0.446132:0.714173:0.446132:0.714173:0.436040:0.703790:0.436040:0.000000:0.000000
#:@0.664817:0.445645:0.672831:0.445645:0.672831:0.436800:0.664817:0.436800:0.000000
v:@0.608064:0.440870:0.615230:0.440870:0.615230:0.432025:0.608064:0.432025:0.000000
=:@0.595929:0.446132:0.602540:0.446132:0.602540:0.436040:0.595929:0.436040:0.000000
Rango 1,5:@0.804630:0.390090:0.846741:0.390090:0.846741:0.380048:0.804630:0.380048:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
,;:@0.835250:0.401422:0.850194:0.401422:0.850194:0.391330:0.835250:0.391330:0.000000:0.000000
, 0 4:@0.877300:0.401422:0.885373:0.401422:0.885373:0.391330:0.877300:0.391330:0.000000:0.000000:0.000000:0.000000:0.000000
01:@0.830053:0.401422:0.843323:0.401422:0.843323:0.391330:0.830053:0.391330:0.000000:0.000000
6:@0.843311:0.401422:0.848509:0.401422:0.848509:0.391330:0.843311:0.391330:0.000000
2:@0.814134:0.396437:0.817080:0.396437:0.817080:0.391643:0.814134:0.391643:0.000000
v:@0.806382:0.400688:0.813548:0.400688:0.813548:0.391843:0.806382:0.391843:0.000000
v:@0.851980:0.400688:0.859145:0.400688:0.859145:0.391843:0.851980:0.391843:0.000000
=:@0.820277:0.401422:0.826889:0.401422:0.826889:0.391330:0.820277:0.391330:0.000000
=:@0.862339:0.401422:0.868951:0.401422:0.868951:0.391330:0.862339:0.391330:0.000000
, 19:@0.831848:0.414118:0.839921:0.414118:0.839921:0.404026:0.831848:0.404026:0.000000:0.000000:0.000000:0.000000
X:@0.807570:0.414189:0.813663:0.414189:0.813663:0.404115:0.807570:0.404115:0.000000
=:@0.816869:0.414118:0.823480:0.414118:0.823480:0.404026:0.816869:0.404026:0.000000