51:@0.922460:0.966765:0.939432:0.966765:0.939432:0.950778:0.922460:0.950778:0.000000:0.000000
Varianza para datos agrupados:@0.108233:0.183457:0.356156:0.183457:0.356156:0.165774:0.108233:0.165774:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para datos agrupados, la varianza de una muestra se calcula así::@0.108233:0.200164:0.553409:0.200164:0.553409:0.183667:0.108233:0.183667:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.377659:0.221798:0.384440:0.221798:0.384440:0.207805:0.377659:0.207805:0.000000
1:@0.361187:0.249000:0.368393:0.249000:0.368393:0.235007:0.361187:0.235007:0.000000
.:@0.400356:0.239299:0.402693:0.239299:0.402693:0.225306:0.400356:0.225306:0.000000
2:@0.290048:0.232478:0.294220:0.232478:0.294220:0.224379:0.290048:0.224379:0.000000
2:@0.391554:0.213021:0.395725:0.213021:0.395725:0.204922:0.391554:0.204922:0.000000
1:@0.321658:0.233444:0.325829:0.233444:0.325829:0.225344:0.321658:0.225344:0.000000
a:@0.349551:0.221897:0.357166:0.221897:0.357166:0.207928:0.349551:0.207928:0.000000
n:@0.342002:0.249099:0.349944:0.249099:0.349944:0.235130:0.342002:0.235130:0.000000
i:@0.338716:0.223745:0.340579:0.223745:0.340579:0.215660:0.338716:0.215660:0.000000
i:@0.357008:0.223745:0.358871:0.223745:0.358871:0.215660:0.357008:0.215660:0.000000
i:@0.314560:0.233499:0.316423:0.233499:0.316423:0.225414:0.314560:0.225414:0.000000
n:@0.317859:0.207007:0.322456:0.207007:0.322456:0.198922:0.317859:0.198922:0.000000
∑:@0.311007:0.226196:0.328484:0.226196:0.328484:0.205482:0.311007:0.205482:0.000000
σ:@0.275776:0.239825:0.285630:0.239825:0.289678:0.226015:0.279824:0.226015:0.000000
(:@0.343512:0.224902:0.348954:0.224902:0.348954:0.206674:0.343512:0.206674:0.000000
):@0.385868:0.224902:0.391309:0.224902:0.391309:0.206674:0.385868:0.206674:0.000000
=:@0.298663:0.239835:0.307634:0.239835:0.307634:0.226025:0.298663:0.226025:0.000000
ƒ:@0.329792:0.222334:0.337963:0.222334:0.337963:0.208524:0.329792:0.208524:0.000000
−:@0.362294:0.222334:0.371265:0.222334:0.371265:0.208524:0.362294:0.208524:0.000000
−:@0.351411:0.249536:0.360382:0.249536:0.360382:0.235726:0.351411:0.235726:0.000000
=:@0.316737:0.233758:0.321929:0.233758:0.321929:0.225764:0.316737:0.225764:0.000000
Ejercicios resueltos:@0.108233:0.281133:0.238888:0.281133:0.238888:0.264346:0.108233:0.264346:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.108233:0.298325:0.120505:0.298325:0.120505:0.281610:0.108233:0.281610:0.000000:0.000000
  Consideremos el conjunto de datos   = {15, 20, 25, 30, 35, 40, 45}.  :@0.120506:0.298108:0.599902:0.298108:0.599902:0.281610:0.120506:0.281610:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.389812:0.298224:0.399772:0.298224:0.399772:0.281755:0.389812:0.281755:0.000000
En primer lugar, calculamos la media aritmética::@0.131968:0.315459:0.469474:0.315459:0.469474:0.298961:0.131968:0.298961:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15 20 25 30 35 40 45:@0.219025:0.345779:0.428334:0.345779:0.428334:0.328723:0.219025:0.328723:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.319476:0.366820:0.328259:0.366820:0.328259:0.349764:0.319476:0.349764:0.000000
210:@0.448395:0.345779:0.474587:0.345779:0.474587:0.328723:0.448395:0.328723:0.000000:0.000000:0.000000
7:@0.457108:0.366820:0.465892:0.366820:0.465892:0.349764:0.457108:0.349764:0.000000
30.:@0.493533:0.355000:0.513789:0.355000:0.513789:0.337944:0.493533:0.337944:0.000000:0.000000:0.000000
,:@0.323806:0.388796:0.326654:0.388796:0.326654:0.371740:0.323806:0.371740:0.000000
1,, ,:@0.348802:0.388796:0.396324:0.388796:0.396324:0.371740:0.348802:0.371740:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15} 45:@0.218724:0.414791:0.413099:0.413513:0.413099:0.396458:0.218724:0.397735:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510:@0.233881:0.438394:0.299229:0.438394:0.299229:0.421338:0.233881:0.421338:0.000000:0.000000:0.000000:0.000000:0.000000
–5:@0.320042:0.438394:0.339601:0.438394:0.339601:0.421338:0.320042:0.421338:0.000000:0.000000
0:@0.360414:0.438394:0.369197:0.438394:0.369197:0.421338:0.360414:0.421338:0.000000
5:@0.389592:0.438394:0.398376:0.438394:0.398376:0.421338:0.389592:0.421338:0.000000
–10:@0.418771:0.438394:0.447013:0.438394:0.447013:0.421338:0.418771:0.421338:0.000000:0.000000:0.000000
15:@0.467030:0.438394:0.484517:0.438394:0.484517:0.421338:0.467030:0.421338:0.000000:0.000000
7 210:@0.354558:0.461100:0.395850:0.462754:0.395850:0.445698:0.354558:0.444045:0.000000:0.000000:0.000000:0.000000:0.000000
8,57,:@0.507402:0.449276:0.543213:0.449276:0.543213:0.432221:0.507402:0.432221:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.352567:0.502851:0.370054:0.502851:0.370054:0.485795:0.352567:0.485795:0.000000:0.000000
10:@0.416481:0.502851:0.433968:0.502851:0.433968:0.485795:0.416481:0.485795:0.000000:0.000000
5:@0.480833:0.502851:0.489616:0.502851:0.489616:0.485795:0.480833:0.485795:0.000000
0:@0.518775:0.502851:0.527558:0.502851:0.527558:0.485795:0.518775:0.485795:0.000000
5:@0.549347:0.502851:0.558131:0.502851:0.558131:0.485795:0.549347:0.485795:0.000000
10:@0.579123:0.502851:0.596611:0.502851:0.596611:0.485795:0.579123:0.485795:0.000000:0.000000
15:@0.618022:0.502851:0.635529:0.502851:0.635529:0.485795:0.618022:0.485795:0.000000:0.000000
7:@0.484398:0.525482:0.493181:0.525482:0.493181:0.508426:0.484398:0.508426:0.000000
700:@0.336095:0.545094:0.362286:0.545094:0.362286:0.528038:0.336095:0.528038:0.000000:0.000000:0.000000
7:@0.344799:0.566141:0.353582:0.566141:0.353582:0.549085:0.344799:0.549085:0.000000
100.:@0.380411:0.554317:0.409370:0.554317:0.409370:0.537261:0.380411:0.537261:0.000000:0.000000:0.000000:0.000000
1:@0.236453:0.391090:0.241536:0.391090:0.241536:0.381217:0.236453:0.381217:0.000000
1:@0.282508:0.391090:0.287591:0.391090:0.287591:0.381217:0.282508:0.381217:0.000000
2:@0.204900:0.505358:0.209984:0.505358:0.209984:0.495486:0.204900:0.495486:0.000000
2:@0.307305:0.481634:0.312388:0.481634:0.312388:0.471762:0.307305:0.471762:0.000000
1:@0.243439:0.506535:0.248522:0.506535:0.248522:0.496663:0.243439:0.496663:0.000000
2:@0.377177:0.492155:0.382261:0.492155:0.382261:0.482283:0.377177:0.482283:0.000000
2:@0.441527:0.492155:0.446611:0.492155:0.446611:0.482283:0.441527:0.482283:0.000000
2:@0.496735:0.492155:0.501819:0.492155:0.501819:0.482283:0.496735:0.482283:0.000000
2:@0.528184:0.494552:0.533268:0.494552:0.533268:0.484679:0.528184:0.484679:0.000000
2:@0.558330:0.494552:0.563414:0.494552:0.563414:0.484679:0.558330:0.484679:0.000000
2:@0.597249:0.494552:0.602333:0.494552:0.602333:0.484679:0.597249:0.484679:0.000000
2:@0.635731:0.494552:0.640814:0.494552:0.640814:0.484679:0.635731:0.484679:0.000000
x:@0.191151:0.355119:0.198879:0.355119:0.198879:0.338093:0.191151:0.338093:0.000000
D:@0.189636:0.388916:0.201666:0.388916:0.201666:0.371890:0.189636:0.371890:0.000000
x:@0.228494:0.388916:0.236222:0.388916:0.236222:0.371890:0.228494:0.371890:0.000000
xx:@0.258808:0.388916:0.282291:0.388916:0.282291:0.371890:0.258808:0.371890:0.000000:0.000000
Xi:@0.311091:0.388916:0.332382:0.388916:0.332382:0.371890:0.311091:0.371890:0.000000:0.000000
n:@0.382812:0.388916:0.392492:0.388916:0.392492:0.371890:0.382812:0.371890:0.000000
D:@0.189656:0.414911:0.201686:0.414911:0.201686:0.397885:0.189656:0.397885:0.000000
D:@0.189656:0.449396:0.201686:0.449396:0.201686:0.432370:0.189656:0.432370:0.000000
x:@0.260661:0.492447:0.268388:0.492447:0.268388:0.475421:0.260661:0.475421:0.000000
x:@0.289999:0.492447:0.297726:0.492447:0.297726:0.475421:0.289999:0.475421:0.000000
n:@0.268030:0.525587:0.277710:0.525587:0.277710:0.508561:0.268030:0.508561:0.000000
m:@0.201380:0.451642:0.210233:0.451642:0.210233:0.441788:0.201380:0.441788:0.000000
i:@0.269304:0.494704:0.271575:0.494704:0.271575:0.484849:0.269304:0.484849:0.000000
i:@0.234777:0.506609:0.237048:0.506609:0.237048:0.496755:0.234777:0.496755:0.000000
n:@0.238293:0.474320:0.243896:0.474320:0.243896:0.464465:0.238293:0.464465:0.000000
∑:@0.230443:0.497707:0.251745:0.497707:0.251745:0.472459:0.230443:0.472459:0.000000
σ:@0.187514:0.514319:0.199524:0.514319:0.204457:0.497487:0.192448:0.497487:0.000000
{:@0.217888:0.392814:0.227448:0.392814:0.227448:0.369754:0.217888:0.369754:0.000000
}:@0.395847:0.392814:0.405407:0.392814:0.405407:0.369754:0.395847:0.369754:0.000000
(:@0.252526:0.496130:0.259159:0.496130:0.259159:0.473912:0.252526:0.473912:0.000000
):@0.300367:0.496130:0.307000:0.496130:0.307000:0.473912:0.300367:0.473912:0.000000
(:@0.334844:0.506647:0.341476:0.506647:0.341476:0.484429:0.334844:0.484429:0.000000
) (:@0.370237:0.506647:0.405390:0.506647:0.405390:0.484429:0.370237:0.484429:0.000000:0.000000:0.000000
) ( ):@0.434589:0.506647:0.496431:0.506647:0.496431:0.484429:0.434589:0.484429:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.204357:0.355658:0.215291:0.355658:0.215291:0.338826:0.204357:0.338826:0.000000
+:@0.237917:0.346435:0.248851:0.346435:0.248851:0.329603:0.237917:0.329603:0.000000
+:@0.269964:0.346435:0.280898:0.346435:0.280898:0.329603:0.269964:0.329603:0.000000
+:@0.301572:0.346435:0.312506:0.346435:0.312506:0.329603:0.301572:0.329603:0.000000
+:@0.333619:0.346435:0.344553:0.346435:0.344553:0.329603:0.333619:0.329603:0.000000
+:@0.365227:0.346435:0.376162:0.346435:0.376162:0.329603:0.365227:0.329603:0.000000
+:@0.397692:0.346435:0.408626:0.346435:0.408626:0.329603:0.397692:0.329603:0.000000
=:@0.432916:0.355658:0.443851:0.355658:0.443851:0.338826:0.432916:0.338826:0.000000
=:@0.479622:0.355658:0.490556:0.355658:0.490556:0.338826:0.479622:0.338826:0.000000
=:@0.204786:0.389455:0.215720:0.389455:0.215720:0.372624:0.204786:0.372624:0.000000
−:@0.244560:0.389455:0.255495:0.389455:0.255495:0.372624:0.244560:0.372624:0.000000
∈:@0.292242:0.389455:0.306443:0.389455:0.306443:0.372624:0.292242:0.372624:0.000000
= ⋅⋅⋅:@0.335701:0.389455:0.377845:0.389455:0.377845:0.372624:0.335701:0.372624:0.000000:0.000000:0.000000:0.000000:0.000000
= +:@0.204766:0.415450:0.233617:0.414169:0.233617:0.397337:0.204766:0.398619:0.000000:0.000000:0.000000
− +:@0.257964:0.415450:0.265663:0.414169:0.265663:0.397337:0.257964:0.398619:0.000000:0.000000:0.000000
− +:@0.291903:0.415450:0.297272:0.414169:0.297272:0.397337:0.291903:0.398619:0.000000:0.000000:0.000000
=:@0.215202:0.449936:0.226137:0.449936:0.226137:0.433104:0.215202:0.433104:0.000000
+:@0.266628:0.439053:0.277563:0.439053:0.277563:0.422222:0.266628:0.422222:0.000000
+:@0.304132:0.439053:0.315067:0.439053:0.315067:0.422222:0.304132:0.422222:0.000000
++ +:@0.344086:0.439053:0.413796:0.439053:0.413796:0.422222:0.344086:0.422222:0.000000:0.000000:0.000000:0.000000
+:@0.451957:0.439053:0.462892:0.439053:0.462892:0.422222:0.451957:0.422222:0.000000
=:@0.215382:0.514317:0.226316:0.514317:0.226316:0.497486:0.215382:0.497486:0.000000
−:@0.275731:0.492986:0.286665:0.492986:0.286665:0.476155:0.275731:0.476155:0.000000
=:@0.319349:0.514317:0.330284:0.514317:0.330284:0.497486:0.319349:0.497486:0.000000
−:@0.341756:0.503510:0.352690:0.503510:0.352690:0.486678:0.341756:0.486678:0.000000
+ −:@0.386032:0.503510:0.416604:0.503510:0.416604:0.486678:0.386032:0.486678:0.000000:0.000000:0.000000
+ −:@0.450384:0.503510:0.480956:0.503510:0.480956:0.486678:0.450384:0.486678:0.000000:0.000000:0.000000
+:@0.505574:0.503510:0.516508:0.503510:0.516508:0.486678:0.505574:0.486678:0.000000
++:@0.537023:0.503510:0.578112:0.503510:0.578112:0.486678:0.537023:0.486678:0.000000:0.000000
+:@0.606075:0.503510:0.617010:0.503510:0.617010:0.486678:0.606075:0.486678:0.000000
= +:@0.320584:0.554977:0.335055:0.556029:0.335055:0.539197:0.320584:0.538145:0.000000:0.000000:0.000000
= +:@0.367289:0.554977:0.384151:0.556029:0.384151:0.539197:0.367289:0.538145:0.000000:0.000000:0.000000
=:@0.237426:0.506913:0.243755:0.506913:0.243755:0.497171:0.237426:0.497171:0.000000
 :@0.108233:0.368575:0.112375:0.368575:0.112375:0.352077:0.108233:0.352077:0.000000
 :@0.108233:0.385925:0.112375:0.385925:0.112375:0.369428:0.108233:0.369428:0.000000
A continuación, obtenemos el conjunto de desviaciones::@0.131968:0.385925:0.534163:0.385925:0.534163:0.369428:0.131968:0.369428:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15 20 25 30 35 40 45:@0.277988:0.374799:0.487297:0.374799:0.487297:0.357743:0.277988:0.357743:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.378450:0.395846:0.387234:0.395846:0.387234:0.378790:0.378450:0.378790:0.000000
210:@0.507374:0.374799:0.533565:0.374799:0.533565:0.357743:0.507374:0.357743:0.000000:0.000000:0.000000
7:@0.516077:0.395846:0.524861:0.395846:0.524861:0.378790:0.516077:0.378790:0.000000
30.:@0.552506:0.384022:0.572761:0.384022:0.572761:0.366966:0.552506:0.366966:0.000000:0.000000:0.000000
,:@0.382770:0.417816:0.385618:0.417816:0.385618:0.400760:0.382770:0.400760:0.000000
1,, ,:@0.407766:0.417816:0.455273:0.417816:0.455273:0.400760:0.407766:0.400760:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15}:@0.277672:0.443811:0.449078:0.443811:0.449078:0.426755:0.277672:0.426755:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510:@0.292818:0.467413:0.358166:0.467413:0.358166:0.450357:0.292818:0.450357:0.000000:0.000000:0.000000:0.000000:0.000000
–5:@0.378979:0.467413:0.398538:0.467413:0.398538:0.450357:0.378979:0.450357:0.000000:0.000000
0:@0.419351:0.467413:0.428134:0.467413:0.428134:0.450357:0.419351:0.450357:0.000000
5:@0.448530:0.467413:0.457313:0.467413:0.457313:0.450357:0.448530:0.450357:0.000000
–10:@0.477708:0.467413:0.505951:0.467413:0.505951:0.450357:0.477708:0.450357:0.000000:0.000000:0.000000
15:@0.525967:0.467413:0.543454:0.467413:0.543454:0.450357:0.525967:0.450357:0.000000:0.000000
7:@0.413495:0.490119:0.422279:0.490119:0.422279:0.473063:0.413495:0.473063:0.000000
8,57,:@0.566339:0.478295:0.602150:0.478295:0.602150:0.461239:0.566339:0.461239:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.411504:0.531869:0.428991:0.531869:0.428991:0.514813:0.411504:0.514813:0.000000:0.000000
10:@0.475418:0.531869:0.492905:0.531869:0.492905:0.514813:0.475418:0.514813:0.000000:0.000000
5:@0.539770:0.531869:0.548553:0.531869:0.548553:0.514813:0.539770:0.514813:0.000000
0:@0.577712:0.531869:0.586495:0.531869:0.586495:0.514813:0.577712:0.514813:0.000000
5:@0.608285:0.531869:0.617068:0.531869:0.617068:0.514813:0.608285:0.514813:0.000000
10:@0.638061:0.531869:0.655548:0.531869:0.655548:0.514813:0.638061:0.514813:0.000000:0.000000
15:@0.676959:0.531869:0.694466:0.531869:0.694466:0.514813:0.676959:0.514813:0.000000:0.000000
7:@0.543335:0.554501:0.552118:0.554501:0.552118:0.537445:0.543335:0.537445:0.000000
700:@0.395032:0.574113:0.421223:0.574113:0.421223:0.557057:0.395032:0.557057:0.000000:0.000000:0.000000
7:@0.403736:0.595160:0.412519:0.595160:0.412519:0.578104:0.403736:0.578104:0.000000
100.:@0.439348:0.583336:0.468307:0.583336:0.468307:0.566280:0.439348:0.566280:0.000000:0.000000:0.000000:0.000000
1:@0.295416:0.420109:0.300500:0.420109:0.300500:0.410237:0.295416:0.410237:0.000000
1:@0.341471:0.420109:0.346555:0.420109:0.346555:0.410237:0.341471:0.410237:0.000000
2:@0.263863:0.534374:0.268947:0.534374:0.268947:0.524502:0.263863:0.524502:0.000000
2:@0.366268:0.510650:0.371351:0.510650:0.371351:0.500778:0.366268:0.500778:0.000000
1:@0.302402:0.535551:0.307485:0.535551:0.307485:0.525679:0.302402:0.525679:0.000000
2:@0.436140:0.521171:0.441224:0.521171:0.441224:0.511299:0.436140:0.511299:0.000000
2:@0.500490:0.521171:0.505574:0.521171:0.505574:0.511299:0.500490:0.511299:0.000000
2:@0.555698:0.521171:0.560782:0.521171:0.560782:0.511299:0.555698:0.511299:0.000000
2:@0.587147:0.523568:0.592231:0.523568:0.592231:0.513695:0.587147:0.513695:0.000000
2:@0.617293:0.523568:0.622377:0.523568:0.622377:0.513695:0.617293:0.513695:0.000000
2:@0.656212:0.523568:0.661296:0.523568:0.661296:0.513695:0.656212:0.513695:0.000000
2:@0.694693:0.523568:0.699777:0.523568:0.699777:0.513695:0.694693:0.513695:0.000000
x:@0.250114:0.384139:0.257842:0.384139:0.257842:0.367113:0.250114:0.367113:0.000000
D:@0.248600:0.417935:0.260630:0.417935:0.260630:0.400909:0.248600:0.400909:0.000000
x:@0.287458:0.417935:0.295186:0.417935:0.295186:0.400909:0.287458:0.400909:0.000000
xx:@0.317772:0.417935:0.341254:0.417935:0.341254:0.400909:0.317772:0.400909:0.000000:0.000000
Xi:@0.370054:0.417935:0.391346:0.417935:0.391346:0.400909:0.370054:0.400909:0.000000:0.000000
n:@0.441776:0.417935:0.451455:0.417935:0.451455:0.400909:0.441776:0.400909:0.000000
D:@0.248620:0.443930:0.260650:0.443930:0.260650:0.426904:0.248620:0.426904:0.000000
D:@0.248600:0.478418:0.260630:0.478418:0.260630:0.461392:0.248600:0.461392:0.000000
x:@0.319604:0.521469:0.327332:0.521469:0.327332:0.504443:0.319604:0.504443:0.000000
x:@0.348942:0.521469:0.356670:0.521469:0.356670:0.504443:0.348942:0.504443:0.000000
n:@0.326973:0.554609:0.336653:0.554609:0.336653:0.537583:0.326973:0.537583:0.000000
m:@0.260345:0.480662:0.269198:0.480662:0.269198:0.470807:0.260345:0.470807:0.000000
i:@0.328269:0.523724:0.330540:0.523724:0.330540:0.513869:0.328269:0.513869:0.000000
i:@0.293742:0.535629:0.296013:0.535629:0.296013:0.525774:0.293742:0.525774:0.000000
n:@0.297258:0.503339:0.302861:0.503339:0.302861:0.493485:0.297258:0.493485:0.000000
∑:@0.289409:0.526726:0.310710:0.526726:0.310710:0.501479:0.289409:0.501479:0.000000
σ:@0.246477:0.543339:0.258487:0.543339:0.263421:0.526507:0.251411:0.526507:0.000000
{:@0.276851:0.421833:0.286411:0.421833:0.286411:0.398774:0.276851:0.398774:0.000000
}:@0.454810:0.421833:0.464370:0.421833:0.464370:0.398774:0.454810:0.398774:0.000000
(:@0.311490:0.525150:0.318122:0.525150:0.318122:0.502932:0.311490:0.502932:0.000000
):@0.359331:0.525150:0.365963:0.525150:0.365963:0.502932:0.359331:0.502932:0.000000
(:@0.393807:0.535667:0.400440:0.535667:0.400440:0.513449:0.393807:0.513449:0.000000
) (:@0.429200:0.535667:0.464353:0.535667:0.464353:0.513449:0.429200:0.513449:0.000000:0.000000:0.000000
) ( ):@0.493552:0.535667:0.555395:0.535667:0.555395:0.513449:0.493552:0.513449:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.263320:0.384677:0.274254:0.384677:0.274254:0.367846:0.263320:0.367846:0.000000
+:@0.296880:0.375454:0.307815:0.375454:0.307815:0.358623:0.296880:0.358623:0.000000
+:@0.328927:0.375454:0.339861:0.375454:0.339861:0.358623:0.328927:0.358623:0.000000
+:@0.360535:0.375454:0.371470:0.375454:0.371470:0.358623:0.360535:0.358623:0.000000
+:@0.392582:0.375454:0.403516:0.375454:0.403516:0.358623:0.392582:0.358623:0.000000
+:@0.424190:0.375454:0.435125:0.375454:0.435125:0.358623:0.424190:0.358623:0.000000
+:@0.456655:0.375454:0.467590:0.375454:0.467590:0.358623:0.456655:0.358623:0.000000
=:@0.491889:0.384677:0.502823:0.384677:0.502823:0.367846:0.491889:0.367846:0.000000
=:@0.538594:0.384677:0.549529:0.384677:0.549529:0.367846:0.538594:0.367846:0.000000
=:@0.263754:0.418474:0.274688:0.418474:0.274688:0.401642:0.263754:0.401642:0.000000
−:@0.303528:0.418474:0.314463:0.418474:0.314463:0.401642:0.303528:0.401642:0.000000
∈:@0.351210:0.418474:0.365411:0.418474:0.365411:0.401642:0.351210:0.401642:0.000000
= ⋅⋅⋅:@0.394669:0.418474:0.436814:0.418474:0.436814:0.401642:0.394669:0.401642:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.263734:0.444468:0.274668:0.444468:0.274668:0.427637:0.263734:0.427637:0.000000
−:@0.316933:0.444468:0.327867:0.444468:0.327867:0.427637:0.316933:0.427637:0.000000
−:@0.350871:0.444468:0.361806:0.444468:0.361806:0.427637:0.350871:0.427637:0.000000
=:@0.274199:0.478956:0.285134:0.478956:0.285134:0.462124:0.274199:0.462124:0.000000
+:@0.325625:0.468074:0.336560:0.468074:0.336560:0.451242:0.325625:0.451242:0.000000
+:@0.363129:0.468074:0.374063:0.468074:0.374063:0.451242:0.363129:0.451242:0.000000
++ +:@0.403083:0.468074:0.472792:0.468074:0.472792:0.451242:0.403083:0.451242:0.000000:0.000000:0.000000:0.000000
+:@0.510953:0.468074:0.521888:0.468074:0.521888:0.451242:0.510953:0.451242:0.000000
=:@0.274378:0.543338:0.285313:0.543338:0.285313:0.526506:0.274378:0.526506:0.000000
−:@0.334727:0.522007:0.345662:0.522007:0.345662:0.505175:0.334727:0.505175:0.000000
=:@0.378346:0.543338:0.389280:0.543338:0.389280:0.526506:0.378346:0.526506:0.000000
−:@0.400752:0.532530:0.411687:0.532530:0.411687:0.515699:0.400752:0.515699:0.000000
+ −:@0.445028:0.532530:0.475601:0.532530:0.475601:0.515699:0.445028:0.515699:0.000000:0.000000:0.000000
+ −:@0.509380:0.532530:0.539953:0.532530:0.539953:0.515699:0.509380:0.515699:0.000000:0.000000:0.000000
+:@0.564570:0.532530:0.575505:0.532530:0.575505:0.515699:0.564570:0.515699:0.000000
++:@0.596019:0.532530:0.637108:0.532530:0.637108:0.515699:0.596019:0.515699:0.000000:0.000000
+:@0.665072:0.532530:0.676006:0.532530:0.676006:0.515699:0.665072:0.515699:0.000000
=:@0.379580:0.583997:0.390515:0.583997:0.390515:0.567165:0.379580:0.567165:0.000000
=:@0.426286:0.583997:0.437220:0.583997:0.437220:0.567165:0.426286:0.567165:0.000000
=:@0.296389:0.535933:0.302718:0.535933:0.302718:0.526191:0.296389:0.526191:0.000000
 :@0.108233:0.467939:0.112375:0.467939:0.112375:0.451441:0.108233:0.451441:0.000000
y calculamos la desviación media absoluta. Se tiene:@0.131968:0.467939:0.494885:0.467939:0.494885:0.451441:0.131968:0.451441:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.108233:0.475487:0.112375:0.475487:0.112375:0.458989:0.108233:0.458989:0.000000
15 20 25 30 35 40:@0.203790:0.413513:0.380634:0.413513:0.380634:0.396458:0.203790:0.396458:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.304252:0.434560:0.313036:0.434560:0.313036:0.417505:0.304252:0.417505:0.000000
210:@0.433176:0.413513:0.459366:0.413513:0.459366:0.396458:0.433176:0.396458:0.000000:0.000000:0.000000
7:@0.441879:0.434560:0.450663:0.434560:0.450663:0.417505:0.441879:0.417505:0.000000
30.:@0.478308:0.422736:0.498563:0.422736:0.498563:0.405680:0.478308:0.405680:0.000000:0.000000:0.000000
,:@0.308574:0.456534:0.311422:0.456534:0.311422:0.439478:0.308574:0.439478:0.000000
1,, ,:@0.333570:0.456534:0.381092:0.456534:0.381092:0.439478:0.333570:0.439478:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15} 7:@0.203492:0.482529:0.387146:0.483801:0.387146:0.466745:0.203492:0.465473:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510 1,, ,:@0.218620:0.506127:0.317576:0.505775:0.317576:0.488719:0.218620:0.489072:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–5:@0.304781:0.506127:0.324339:0.506127:0.324339:0.489072:0.304781:0.489072:0.000000:0.000000
0:@0.345153:0.506127:0.353936:0.506127:0.353936:0.489072:0.345153:0.489072:0.000000
5:@0.374331:0.506127:0.383115:0.506127:0.383115:0.489072:0.374331:0.489072:0.000000
–10:@0.403510:0.506127:0.431752:0.506127:0.431752:0.489072:0.403510:0.489072:0.000000:0.000000:0.000000
15:@0.451769:0.506127:0.469256:0.506127:0.469256:0.489072:0.451769:0.489072:0.000000:0.000000
7:@0.339312:0.528834:0.348096:0.528834:0.348096:0.511778:0.339312:0.511778:0.000000
8,57,:@0.492154:0.517013:0.527965:0.517013:0.527965:0.499957:0.492154:0.499957:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.337310:0.570592:0.354798:0.570592:0.354798:0.553536:0.337310:0.553536:0.000000:0.000000
10:@0.401224:0.570592:0.418712:0.570592:0.418712:0.553536:0.401224:0.553536:0.000000:0.000000
5:@0.465576:0.570592:0.474360:0.570592:0.474360:0.553536:0.465576:0.553536:0.000000
0:@0.503518:0.570592:0.512302:0.570592:0.512302:0.553536:0.503518:0.553536:0.000000
5:@0.534091:0.570592:0.542875:0.570592:0.542875:0.553536:0.534091:0.553536:0.000000
10:@0.563867:0.570592:0.581354:0.570592:0.581354:0.553536:0.563867:0.553536:0.000000:0.000000
15:@0.602765:0.570592:0.620272:0.570592:0.620272:0.553536:0.602765:0.553536:0.000000:0.000000
7:@0.469142:0.593223:0.477925:0.593223:0.477925:0.576167:0.469142:0.576167:0.000000
700:@0.320839:0.612835:0.347030:0.612835:0.347030:0.595779:0.320839:0.595779:0.000000:0.000000:0.000000
7:@0.329543:0.633882:0.338326:0.633882:0.338326:0.616826:0.329543:0.616826:0.000000
100. 5:@0.365155:0.622058:0.410843:0.619833:0.410843:0.602777:0.365155:0.605002:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.221218:0.458824:0.226302:0.458824:0.226302:0.448952:0.221218:0.448952:0.000000
1:@0.267273:0.458824:0.272357:0.458824:0.272357:0.448952:0.267273:0.448952:0.000000
2:@0.189665:0.573093:0.194749:0.573093:0.194749:0.563221:0.189665:0.563221:0.000000
2:@0.292070:0.549368:0.297154:0.549368:0.297154:0.539496:0.292070:0.539496:0.000000
1:@0.228204:0.574269:0.233288:0.574269:0.233288:0.564397:0.228204:0.564397:0.000000
2:@0.361942:0.559889:0.367026:0.559889:0.367026:0.550017:0.361942:0.550017:0.000000
2:@0.426292:0.559889:0.431376:0.559889:0.431376:0.550017:0.426292:0.550017:0.000000
2:@0.481501:0.559889:0.486585:0.559889:0.486585:0.550017:0.481501:0.550017:0.000000
2:@0.512950:0.562286:0.518034:0.562286:0.518034:0.552414:0.512950:0.552414:0.000000
2:@0.543096:0.562286:0.548180:0.562286:0.548180:0.552414:0.543096:0.552414:0.000000
2:@0.582015:0.562286:0.587099:0.562286:0.587099:0.552414:0.582015:0.552414:0.000000
2:@0.620496:0.562286:0.625580:0.562286:0.625580:0.552414:0.620496:0.552414:0.000000
x:@0.175916:0.422854:0.183644:0.422854:0.183644:0.405828:0.175916:0.405828:0.000000
D:@0.174402:0.456652:0.186432:0.456652:0.186432:0.439626:0.174402:0.439626:0.000000
x:@0.213261:0.456652:0.220988:0.456652:0.220988:0.439626:0.213261:0.439626:0.000000
xx:@0.243574:0.456652:0.267057:0.456652:0.267057:0.439626:0.243574:0.439626:0.000000:0.000000
Xi:@0.295857:0.456652:0.317148:0.456652:0.317148:0.439626:0.295857:0.439626:0.000000:0.000000
n:@0.367578:0.456652:0.377258:0.456652:0.377258:0.439626:0.367578:0.439626:0.000000
D:@0.174422:0.482647:0.186452:0.482647:0.186452:0.465621:0.174422:0.465621:0.000000
D:@0.174402:0.517133:0.186432:0.517133:0.186432:0.500107:0.174402:0.500107:0.000000
x:@0.245410:0.560190:0.253138:0.560190:0.253138:0.543164:0.245410:0.543164:0.000000
x:@0.274748:0.560190:0.282476:0.560190:0.282476:0.543164:0.274748:0.543164:0.000000
n:@0.252779:0.593330:0.262459:0.593330:0.262459:0.576304:0.252779:0.576304:0.000000
m:@0.186145:0.519377:0.194999:0.519377:0.194999:0.509522:0.186145:0.509522:0.000000
i:@0.254069:0.562434:0.256340:0.562434:0.256340:0.552580:0.254069:0.552580:0.000000
i:@0.219543:0.574340:0.221814:0.574340:0.221814:0.564485:0.219543:0.564485:0.000000
n:@0.223059:0.542050:0.228661:0.542050:0.228661:0.532195:0.223059:0.532195:0.000000
∑:@0.215209:0.565441:0.236510:0.565441:0.236510:0.540194:0.215209:0.540194:0.000000
σ:@0.172279:0.582055:0.184289:0.582055:0.189223:0.565223:0.177213:0.565223:0.000000
{:@0.202653:0.460548:0.212213:0.460548:0.212213:0.437489:0.202653:0.437489:0.000000
}:@0.380612:0.460548:0.390172:0.460548:0.390172:0.437489:0.380612:0.437489:0.000000
(:@0.237292:0.563865:0.243924:0.563865:0.243924:0.541647:0.237292:0.541647:0.000000
):@0.285133:0.563865:0.291765:0.563865:0.291765:0.541647:0.285133:0.541647:0.000000
(:@0.319609:0.574382:0.326242:0.574382:0.326242:0.552164:0.319609:0.552164:0.000000
) (:@0.355002:0.574382:0.390155:0.574382:0.390155:0.552164:0.355002:0.552164:0.000000:0.000000:0.000000
) ( ):@0.419354:0.574382:0.481197:0.574382:0.481197:0.552164:0.419354:0.552164:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.189122:0.423392:0.200056:0.423392:0.200056:0.406560:0.189122:0.406560:0.000000
+:@0.318384:0.414169:0.329318:0.414169:0.329318:0.397337:0.318384:0.397337:0.000000
+:@0.349992:0.414169:0.360927:0.414169:0.360927:0.397337:0.349992:0.397337:0.000000
+:@0.382457:0.414169:0.393392:0.414169:0.393392:0.397337:0.382457:0.397337:0.000000
=:@0.417691:0.423392:0.428625:0.423392:0.428625:0.406560:0.417691:0.406560:0.000000
=:@0.464396:0.423392:0.475331:0.423392:0.475331:0.406560:0.464396:0.406560:0.000000
=:@0.189560:0.457190:0.200495:0.457190:0.200495:0.440358:0.189560:0.440358:0.000000
−:@0.229335:0.457190:0.240269:0.457190:0.240269:0.440358:0.229335:0.440358:0.000000
∈:@0.277016:0.457190:0.291217:0.457190:0.291217:0.440358:0.277016:0.440358:0.000000
= ⋅⋅⋅:@0.320475:0.457190:0.362620:0.457190:0.362620:0.440358:0.320475:0.440358:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.189540:0.483185:0.200475:0.483185:0.200475:0.466353:0.189540:0.466353:0.000000
−:@0.242739:0.483185:0.253673:0.483185:0.253673:0.466353:0.242739:0.466353:0.000000
−:@0.276678:0.483185:0.287612:0.483185:0.287612:0.466353:0.276678:0.466353:0.000000
=:@0.200001:0.517671:0.210935:0.517671:0.210935:0.500839:0.200001:0.500839:0.000000
+ = ⋅⋅⋅:@0.251427:0.506789:0.299105:0.506431:0.299105:0.489599:0.251427:0.489957:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
+:@0.288931:0.506789:0.299865:0.506789:0.299865:0.489957:0.288931:0.489957:0.000000
++ +:@0.328885:0.506789:0.398594:0.506789:0.398594:0.489957:0.328885:0.489957:0.000000:0.000000:0.000000:0.000000
+:@0.436755:0.506789:0.447690:0.506789:0.447690:0.489957:0.436755:0.489957:0.000000
=:@0.200164:0.582055:0.211098:0.582055:0.211098:0.565223:0.200164:0.565223:0.000000
−:@0.260512:0.560724:0.271447:0.560724:0.271447:0.543892:0.260512:0.543892:0.000000
=:@0.304131:0.582055:0.315065:0.582055:0.315065:0.565223:0.304131:0.565223:0.000000
−:@0.326537:0.571247:0.337472:0.571247:0.337472:0.554416:0.326537:0.554416:0.000000
+ −:@0.370813:0.571247:0.401386:0.571247:0.401386:0.554416:0.370813:0.554416:0.000000:0.000000:0.000000
+ −:@0.435165:0.571247:0.465738:0.571247:0.465738:0.554416:0.435165:0.554416:0.000000:0.000000:0.000000
+:@0.490356:0.571247:0.501290:0.571247:0.501290:0.554416:0.490356:0.554416:0.000000
++:@0.521805:0.571247:0.562894:0.571247:0.562894:0.554416:0.521805:0.554416:0.000000:0.000000
+:@0.590857:0.571247:0.601792:0.571247:0.601792:0.554416:0.590857:0.554416:0.000000
= + −:@0.305366:0.622714:0.337869:0.620488:0.337869:0.603656:0.305366:0.605882:0.000000:0.000000:0.000000:0.000000:0.000000
= + −:@0.352071:0.622714:0.402221:0.620488:0.402221:0.603656:0.352071:0.605882:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.222191:0.574648:0.228520:0.574648:0.228520:0.564905:0.222191:0.564905:0.000000
 :@0.108233:0.558064:0.112375:0.558064:0.112375:0.541566:0.108233:0.541566:0.000000
donde el símbolo :@0.131968:0.558064:0.265881:0.558064:0.265881:0.541566:0.131968:0.541566:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
;:@0.271450:0.557991:0.275438:0.557991:0.275438:0.541638:0.271450:0.541638:0.000000
 significa aproximado. Con el conjunto de :@0.285219:0.558064:0.599878:0.558064:0.599878:0.541566:0.285219:0.541566:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desviaciones, calculamos la varianza::@0.131983:0.575414:0.388307:0.575414:0.388307:0.558917:0.131983:0.558917:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15 20 25 30 35 40 45:@0.140274:0.462754:0.349582:0.462754:0.349582:0.445698:0.140274:0.445698:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.240735:0.483801:0.249519:0.483801:0.249519:0.466745:0.240735:0.466745:0.000000
30.:@0.414791:0.471977:0.435047:0.471977:0.435047:0.454921:0.414791:0.454921:0.000000:0.000000:0.000000
,:@0.245058:0.505775:0.247906:0.505775:0.247906:0.488719:0.245058:0.488719:0.000000
{–15,10, 5,0,5,10,15}:@0.139975:0.531770:0.311381:0.531770:0.311381:0.514714:0.139975:0.514714:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510:@0.155132:0.555373:0.220480:0.555373:0.220480:0.538317:0.155132:0.538317:0.000000:0.000000:0.000000:0.000000:0.000000
–5:@0.241293:0.555373:0.260852:0.555373:0.260852:0.538317:0.241293:0.538317:0.000000:0.000000
0:@0.281665:0.555373:0.290449:0.555373:0.290449:0.538317:0.281665:0.538317:0.000000
5:@0.310844:0.555373:0.319627:0.555373:0.319627:0.538317:0.310844:0.538317:0.000000
–10:@0.340022:0.555373:0.368265:0.555373:0.368265:0.538317:0.340022:0.538317:0.000000:0.000000:0.000000
15:@0.388281:0.555373:0.405769:0.555373:0.405769:0.538317:0.388281:0.538317:0.000000:0.000000
7:@0.275809:0.578079:0.284593:0.578079:0.284593:0.561024:0.275809:0.561024:0.000000
8,57,:@0.428653:0.566255:0.464464:0.566255:0.464464:0.549200:0.428653:0.549200:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.273794:0.619833:0.291281:0.619833:0.291281:0.602777:0.273794:0.602777:0.000000:0.000000
10:@0.337708:0.619833:0.355195:0.619833:0.355195:0.602777:0.337708:0.602777:0.000000:0.000000
0:@0.440002:0.619833:0.448785:0.619833:0.448785:0.602777:0.440002:0.602777:0.000000
5:@0.470574:0.619833:0.479358:0.619833:0.479358:0.602777:0.470574:0.602777:0.000000
10:@0.500351:0.619833:0.517838:0.619833:0.517838:0.602777:0.500351:0.602777:0.000000:0.000000
15:@0.539249:0.619833:0.556756:0.619833:0.556756:0.602777:0.539249:0.602777:0.000000:0.000000
7:@0.405625:0.642464:0.414408:0.642464:0.414408:0.625408:0.405625:0.625408:0.000000
700:@0.257322:0.662076:0.283513:0.662076:0.283513:0.645020:0.257322:0.645020:0.000000:0.000000:0.000000
7:@0.266026:0.683123:0.274809:0.683123:0.274809:0.666067:0.266026:0.666067:0.000000
100.:@0.301638:0.671299:0.330597:0.671299:0.330597:0.654243:0.301638:0.654243:0.000000:0.000000:0.000000:0.000000
1:@0.157701:0.508065:0.162785:0.508065:0.162785:0.498193:0.157701:0.498193:0.000000
1:@0.203756:0.508065:0.208840:0.508065:0.208840:0.498193:0.203756:0.498193:0.000000
2:@0.126148:0.622330:0.131232:0.622330:0.131232:0.612458:0.126148:0.612458:0.000000
2:@0.228553:0.598606:0.233637:0.598606:0.233637:0.588734:0.228553:0.588734:0.000000
1:@0.164687:0.623506:0.169771:0.623506:0.169771:0.613634:0.164687:0.613634:0.000000
2:@0.298425:0.609127:0.303509:0.609127:0.303509:0.599255:0.298425:0.599255:0.000000
2:@0.362775:0.609127:0.367859:0.609127:0.367859:0.599255:0.362775:0.599255:0.000000
2:@0.417984:0.609127:0.423067:0.609127:0.423067:0.599255:0.417984:0.599255:0.000000
2:@0.449432:0.611523:0.454516:0.611523:0.454516:0.601651:0.449432:0.601651:0.000000
2:@0.479578:0.611523:0.484662:0.611523:0.484662:0.601651:0.479578:0.601651:0.000000
2:@0.518483:0.611525:0.523566:0.611525:0.523566:0.601652:0.518483:0.601652:0.000000
2:@0.556963:0.611525:0.562047:0.611525:0.562047:0.601652:0.556963:0.601652:0.000000
x:@0.112401:0.472095:0.120128:0.472095:0.120128:0.455069:0.112401:0.455069:0.000000
D:@0.110887:0.505893:0.122917:0.505893:0.122917:0.488867:0.110887:0.488867:0.000000
x:@0.149745:0.505893:0.157473:0.505893:0.157473:0.488867:0.149745:0.488867:0.000000
xx:@0.180059:0.505893:0.203541:0.505893:0.203541:0.488867:0.180059:0.488867:0.000000:0.000000
Xi:@0.232341:0.505893:0.253633:0.505893:0.253633:0.488867:0.232341:0.488867:0.000000:0.000000
n:@0.304063:0.505893:0.313742:0.505893:0.313742:0.488867:0.304063:0.488867:0.000000
D:@0.110907:0.531888:0.122937:0.531888:0.122937:0.514862:0.110907:0.514862:0.000000
D:@0.110907:0.566373:0.122937:0.566373:0.122937:0.549347:0.110907:0.549347:0.000000
x:@0.181893:0.609431:0.189621:0.609431:0.189621:0.592405:0.181893:0.592405:0.000000
x:@0.211231:0.609431:0.218959:0.609431:0.218959:0.592405:0.211231:0.592405:0.000000
n:@0.189263:0.642571:0.198942:0.642571:0.198942:0.625545:0.189263:0.625545:0.000000
m:@0.122630:0.568618:0.131484:0.568618:0.131484:0.558763:0.122630:0.558763:0.000000
i:@0.190554:0.611675:0.192825:0.611675:0.192825:0.601821:0.190554:0.601821:0.000000
i:@0.156027:0.623581:0.158299:0.623581:0.158299:0.613726:0.156027:0.613726:0.000000
n:@0.159544:0.591291:0.165146:0.591291:0.165146:0.581436:0.159544:0.581436:0.000000
∑:@0.151694:0.614682:0.172995:0.614682:0.172995:0.589435:0.151694:0.589435:0.000000
σ:@0.108763:0.631296:0.120773:0.631296:0.125707:0.614464:0.113697:0.614464:0.000000
{:@0.139138:0.509789:0.148698:0.509789:0.148698:0.486730:0.139138:0.486730:0.000000
}:@0.317097:0.509789:0.326657:0.509789:0.326657:0.486730:0.317097:0.486730:0.000000
(:@0.173775:0.613106:0.180408:0.613106:0.180408:0.590888:0.173775:0.590888:0.000000
):@0.221616:0.613106:0.228248:0.613106:0.228248:0.590888:0.221616:0.590888:0.000000
(:@0.256093:0.623623:0.262725:0.623623:0.262725:0.601405:0.256093:0.601405:0.000000
) (:@0.291485:0.623623:0.326639:0.623623:0.326639:0.601405:0.291485:0.601405:0.000000:0.000000:0.000000
) ( ):@0.355837:0.623623:0.417680:0.623623:0.417680:0.601405:0.355837:0.601405:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.125607:0.472633:0.136541:0.472633:0.136541:0.455801:0.125607:0.455801:0.000000
+:@0.159167:0.463410:0.170102:0.463410:0.170102:0.446578:0.159167:0.446578:0.000000
+:@0.191214:0.463410:0.202148:0.463410:0.202148:0.446578:0.191214:0.446578:0.000000
+:@0.222822:0.463410:0.233757:0.463410:0.233757:0.446578:0.222822:0.446578:0.000000
+:@0.254869:0.463410:0.265803:0.463410:0.265803:0.446578:0.254869:0.446578:0.000000
+:@0.286477:0.463410:0.297412:0.463410:0.297412:0.446578:0.286477:0.446578:0.000000
+:@0.318942:0.463410:0.329877:0.463410:0.329877:0.446578:0.318942:0.446578:0.000000
=:@0.354175:0.472633:0.365110:0.472633:0.365110:0.455801:0.354175:0.455801:0.000000
=:@0.400881:0.472633:0.411816:0.472633:0.411816:0.455801:0.400881:0.455801:0.000000
=:@0.126045:0.506431:0.136980:0.506431:0.136980:0.489599:0.126045:0.489599:0.000000
−:@0.165820:0.506431:0.176754:0.506431:0.176754:0.489599:0.165820:0.489599:0.000000
∈:@0.213501:0.506431:0.227702:0.506431:0.227702:0.489599:0.213501:0.489599:0.000000
=:@0.126025:0.532426:0.136960:0.532426:0.136960:0.515594:0.126025:0.515594:0.000000
−:@0.179224:0.532426:0.190158:0.532426:0.190158:0.515594:0.179224:0.515594:0.000000
−:@0.213163:0.532426:0.224097:0.532426:0.224097:0.515594:0.213163:0.515594:0.000000
=:@0.136462:0.566911:0.147396:0.566911:0.147396:0.550080:0.136462:0.550080:0.000000
+:@0.187888:0.556029:0.198822:0.556029:0.198822:0.539197:0.187888:0.539197:0.000000
+:@0.225392:0.556029:0.236326:0.556029:0.236326:0.539197:0.225392:0.539197:0.000000
++:@0.265345:0.556029:0.306315:0.556029:0.306315:0.539197:0.265345:0.539197:0.000000:0.000000
=:@0.136647:0.631296:0.147581:0.631296:0.147581:0.614464:0.136647:0.614464:0.000000
−:@0.196996:0.609965:0.207930:0.609965:0.207930:0.593133:0.196996:0.593133:0.000000
=:@0.240614:0.631296:0.251548:0.631296:0.251548:0.614464:0.240614:0.614464:0.000000
−:@0.263021:0.620488:0.273955:0.620488:0.273955:0.603656:0.263021:0.603656:0.000000
+:@0.426839:0.620488:0.437773:0.620488:0.437773:0.603656:0.426839:0.603656:0.000000
++:@0.458288:0.620488:0.499377:0.620488:0.499377:0.603656:0.458288:0.603656:0.000000:0.000000
+:@0.527340:0.620488:0.538275:0.620488:0.538275:0.603656:0.527340:0.603656:0.000000
=:@0.241849:0.671955:0.252783:0.671955:0.252783:0.655123:0.241849:0.655123:0.000000
=:@0.288555:0.671955:0.299489:0.671955:0.299489:0.655123:0.288555:0.655123:0.000000
=:@0.158676:0.623889:0.165005:0.623889:0.165005:0.614146:0.158676:0.614146:0.000000
 :@0.581915:0.687590:0.586057:0.687590:0.586057:0.671092:0.581915:0.671092:0.000000
Desviación estándar:@0.108233:0.707595:0.270196:0.707595:0.270196:0.689912:0.108233:0.689912:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición. :@0.108233:0.724765:0.196447:0.724765:0.196447:0.707820:0.108233:0.707820:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Sea    = { , ...,  } un conjunto de   datos reales (  > 2).:@0.196447:0.724303:0.587295:0.724303:0.587295:0.707805:0.196447:0.707805:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.228851:0.724418:0.238811:0.724418:0.238811:0.707950:0.228851:0.707950:0.000000
x:@0.263759:0.724418:0.271234:0.724418:0.271234:0.707950:0.263759:0.707950:0.000000
1:@0.271234:0.726975:0.275756:0.726975:0.275756:0.718193:0.271234:0.718193:0.000000
x:@0.297814:0.724418:0.305289:0.724418:0.305289:0.707950:0.297814:0.707950:0.000000
n:@0.305288:0.726975:0.310416:0.726975:0.310416:0.718193:0.305288:0.718193:0.000000
n:@0.435273:0.724418:0.444635:0.724418:0.444635:0.707950:0.435273:0.707950:0.000000
n:@0.541636:0.724418:0.550999:0.724418:0.550999:0.707950:0.541636:0.707950:0.000000
i):@0.108245:0.759221:0.118783:0.759221:0.118783:0.742507:0.108245:0.742507:0.000000:0.000000
  La desviación estándar de la población  se denota   (que se lee :@0.118784:0.759004:0.599913:0.759004:0.599913:0.742507:0.118784:0.742507:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X :@0.413094:0.759120:0.427197:0.759120:0.427197:0.742651:0.413094:0.742651:0.000000:0.000000
σ:@0.502547:0.758498:0.514164:0.758498:0.514164:0.740786:0.502547:0.740786:0.000000
sigma) y se define como::@0.131980:0.776355:0.306964:0.776355:0.306964:0.759857:0.131980:0.759857:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
,  donde μ es la media de la población.:@0.283341:0.831087:0.556001:0.829421:0.556001:0.812923:0.283341:0.814589:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.243293:0.906839:0.251789:0.906839:0.251789:0.890341:0.243293:0.890341:0.000000
,:@0.280089:0.895850:0.282844:0.895850:0.282844:0.879353:0.280089:0.879353:0.000000
2:@0.272071:0.800695:0.276989:0.800695:0.276989:0.791146:0.272071:0.791146:0.000000
1:@0.206996:0.823759:0.211913:0.823759:0.211913:0.814211:0.206996:0.814211:0.000000
2:@0.268827:0.863324:0.273744:0.863324:0.273744:0.853775:0.268827:0.853775:0.000000
1:@0.206996:0.888505:0.211913:0.888505:0.211913:0.878957:0.206996:0.878957:0.000000
x:@0.224185:0.811479:0.231660:0.811479:0.231660:0.795010:0.224185:0.795010:0.000000
n:@0.231775:0.842204:0.241138:0.842204:0.241138:0.825736:0.231775:0.825736:0.000000
x:@0.224185:0.876230:0.231660:0.876230:0.231660:0.859761:0.224185:0.859761:0.000000
x:@0.253449:0.876230:0.260924:0.876230:0.260924:0.859761:0.253449:0.859761:0.000000
n:@0.219465:0.906955:0.228828:0.906955:0.228828:0.890487:0.219465:0.890487:0.000000
i:@0.232548:0.813649:0.234744:0.813649:0.234744:0.804117:0.232548:0.804117:0.000000
i:@0.197947:0.823826:0.200144:0.823826:0.200144:0.814294:0.197947:0.814294:0.000000
n:@0.201660:0.794401:0.207079:0.794401:0.207079:0.784869:0.201660:0.784869:0.000000
i:@0.232548:0.878400:0.234744:0.878400:0.234744:0.868868:0.232548:0.868868:0.000000
i:@0.197947:0.888577:0.200144:0.888577:0.200144:0.879045:0.197947:0.879045:0.000000
n:@0.201660:0.859152:0.207079:0.859152:0.207079:0.849620:0.201660:0.849620:0.000000
∑:@0.193767:0.817019:0.214372:0.817019:0.214372:0.792598:0.193767:0.792598:0.000000
∑:@0.193767:0.881770:0.214372:0.881770:0.214372:0.857349:0.193767:0.857349:0.000000
(:@0.215912:0.881380:0.222328:0.881380:0.222328:0.852400:0.215912:0.852400:0.000000
):@0.262554:0.881380:0.268969:0.881380:0.268969:0.852400:0.262554:0.852400:0.000000
=:@0.164766:0.831723:0.175342:0.831723:0.175342:0.815442:0.164766:0.815442:0.000000
−:@0.239207:0.812001:0.249783:0.812001:0.249783:0.795720:0.239207:0.795720:0.000000
=:@0.164766:0.896484:0.175342:0.896484:0.175342:0.880203:0.164766:0.880203:0.000000
−:@0.239207:0.876747:0.249783:0.876747:0.249783:0.860467:0.239207:0.860467:0.000000
−:@0.230980:0.907473:0.241557:0.907473:0.241557:0.891192:0.230980:0.891192:0.000000
=:@0.200718:0.824126:0.206840:0.824126:0.206840:0.814703:0.200718:0.814703:0.000000
=:@0.200718:0.888877:0.206840:0.888877:0.206840:0.879454:0.200718:0.879454:0.000000
ii) :@0.108241:0.859568:0.127121:0.859568:0.127121:0.842853:0.108241:0.842853:0.000000:0.000000:0.000000:0.000000
 La desviación estándar de la muestra   se denota  , y se define :@0.127121:0.859351:0.599924:0.859351:0.599924:0.842853:0.127121:0.842853:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.405331:0.859466:0.415291:0.859466:0.415291:0.842998:0.405331:0.842998:0.000000
σ:@0.497627:0.858845:0.509244:0.858845:0.509244:0.841132:0.497627:0.841132:0.000000
como::@0.131976:0.876702:0.176517:0.876702:0.176517:0.860204:0.131976:0.860204:0.000000:0.000000:0.000000:0.000000:0.000000
,:@0.415304:0.864501:0.418059:0.864501:0.418059:0.848003:0.415304:0.848003:0.000000
1:@0.375256:0.940253:0.383752:0.940253:0.383752:0.923755:0.375256:0.923755:0.000000
,  :@0.412053:0.929264:0.428178:0.928144:0.428178:0.911646:0.412053:0.912766:0.000000:0.000000:0.000000
2:@0.404037:0.834108:0.408954:0.834108:0.408954:0.824559:0.404037:0.824559:0.000000
1:@0.338961:0.857172:0.343879:0.857172:0.343879:0.847623:0.338961:0.847623:0.000000
2:@0.400790:0.896738:0.405708:0.896738:0.405708:0.887189:0.400790:0.887189:0.000000
1:@0.338959:0.921919:0.343877:0.921919:0.343877:0.912371:0.338959:0.912371:0.000000
x:@0.356148:0.844892:0.363623:0.844892:0.363623:0.828423:0.356148:0.828423:0.000000
n:@0.363739:0.875617:0.373102:0.875617:0.373102:0.859148:0.363739:0.859148:0.000000
x:@0.356148:0.909643:0.363623:0.909643:0.363623:0.893174:0.356148:0.893174:0.000000
x:@0.385412:0.909643:0.392887:0.909643:0.392887:0.893174:0.385412:0.893174:0.000000
n:@0.351428:0.940368:0.360791:0.940368:0.360791:0.923899:0.351428:0.923899:0.000000
i:@0.364511:0.847062:0.366708:0.847062:0.366708:0.837530:0.364511:0.837530:0.000000
i:@0.329910:0.857239:0.332107:0.857239:0.332107:0.847706:0.329910:0.847706:0.000000
n:@0.333624:0.827814:0.339043:0.827814:0.339043:0.818282:0.333624:0.818282:0.000000
i:@0.364511:0.911813:0.366708:0.911813:0.366708:0.902281:0.364511:0.902281:0.000000
i:@0.329910:0.921990:0.332107:0.921990:0.332107:0.912457:0.329910:0.912457:0.000000
n:@0.333624:0.892565:0.339043:0.892565:0.339043:0.883033:0.333624:0.883033:0.000000
∑:@0.325733:0.850433:0.346337:0.850433:0.346337:0.826012:0.325733:0.826012:0.000000
∑:@0.325733:0.915184:0.346337:0.915184:0.346337:0.890763:0.325733:0.890763:0.000000
(:@0.347876:0.914793:0.354291:0.914793:0.354291:0.885813:0.347876:0.885813:0.000000
):@0.394517:0.914793:0.400933:0.914793:0.400933:0.885813:0.394517:0.885813:0.000000
=:@0.296729:0.865137:0.307306:0.865137:0.307306:0.848856:0.296729:0.848856:0.000000
−:@0.371170:0.845415:0.381747:0.845415:0.381747:0.829134:0.371170:0.829134:0.000000
=:@0.296729:0.929897:0.307306:0.929897:0.307306:0.913617:0.296729:0.913617:0.000000
−:@0.371170:0.910161:0.381747:0.910161:0.381747:0.893880:0.371170:0.893880:0.000000
−:@0.362944:0.940886:0.373521:0.940886:0.373521:0.924605:0.362944:0.924605:0.000000
=:@0.332682:0.857540:0.338803:0.857540:0.338803:0.848117:0.332682:0.848117:0.000000
=:@0.332682:0.922291:0.338803:0.922291:0.338803:0.912868:0.332682:0.912868:0.000000
donde denota la media aritmética de la muestra.:@0.131975:0.959332:0.490467:0.959325:0.490467:0.942827:0.131975:0.942834:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.184115:0.959030:0.190940:0.959030:0.190940:0.943993:0.184115:0.943993:0.000000
 :@0.192048:0.959003:0.195830:0.959003:0.195830:0.943940:0.192048:0.943940:0.000000
ii):@0.108227:0.094347:0.123023:0.094347:0.123023:0.077632:0.108227:0.077632:0.000000:0.000000:0.000000
  La varianza de la muestra   se denota :@0.123024:0.094130:0.421231:0.094130:0.421231:0.077632:0.123024:0.077632:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.327890:0.094245:0.337851:0.094245:0.337851:0.077777:0.327890:0.077777:0.000000
σ:@0.423889:0.093624:0.435506:0.093624:0.435506:0.075911:0.423889:0.075911:0.000000
2  :@0.435510:0.087773:0.446842:0.087773:0.446842:0.078155:0.435510:0.078155:0.000000:0.000000:0.000000
(que se lee sigma al  :@0.448390:0.094126:0.599912:0.094126:0.599912:0.077628:0.448390:0.077628:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cuadrado) y se define como  :@0.131978:0.135594:0.336421:0.135594:0.336421:0.119097:0.131978:0.119097:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.393344:0.123538:0.399117:0.123538:0.399117:0.097456:0.393344:0.097456:0.000000
):@0.435321:0.123538:0.441095:0.123538:0.441095:0.097456:0.435321:0.097456:0.000000
,:@0.453889:0.079831:0.456368:0.079831:0.456368:0.064983:0.453889:0.064983:0.000000
1:@0.417973:0.144145:0.425619:0.144145:0.425619:0.129297:0.417973:0.129297:0.000000
,:@0.450967:0.134244:0.453446:0.134244:0.453446:0.119396:0.450967:0.119396:0.000000
2:@0.349514:0.072590:0.353940:0.072590:0.353940:0.063996:0.349514:0.063996:0.000000
2:@0.443900:0.052479:0.448326:0.052479:0.448326:0.043885:0.443900:0.043885:0.000000
1:@0.385322:0.073238:0.389748:0.073238:0.389748:0.064644:0.385322:0.064644:0.000000
2:@0.349514:0.127020:0.353940:0.127020:0.353940:0.118426:0.349514:0.118426:0.000000
2:@0.440970:0.104989:0.445395:0.104989:0.445395:0.096395:0.440970:0.096395:0.000000
1:@0.385322:0.127645:0.389748:0.127645:0.389748:0.119051:0.385322:0.119051:0.000000
x:@0.400789:0.062184:0.407516:0.062184:0.407516:0.047362:0.400789:0.047362:0.000000
n:@0.407620:0.089823:0.416047:0.089823:0.416047:0.075002:0.407620:0.075002:0.000000
x:@0.400789:0.116604:0.407516:0.116604:0.407516:0.101782:0.400789:0.101782:0.000000
x:@0.427126:0.116604:0.433854:0.116604:0.433854:0.101782:0.427126:0.101782:0.000000
n:@0.396549:0.144249:0.404975:0.144249:0.404975:0.129427:0.396549:0.129427:0.000000
i:@0.408327:0.064128:0.410304:0.064128:0.410304:0.055549:0.408327:0.055549:0.000000
i:@0.377186:0.073294:0.379163:0.073294:0.379163:0.064716:0.377186:0.064716:0.000000
n:@0.380528:0.046797:0.385406:0.046797:0.385406:0.038218:0.380528:0.038218:0.000000
i:@0.408327:0.118558:0.410304:0.118558:0.410304:0.109979:0.408327:0.109979:0.000000
i:@0.377186:0.127709:0.379163:0.127709:0.379163:0.119130:0.377186:0.119130:0.000000
n:@0.380528:0.101231:0.385405:0.101231:0.385405:0.092652:0.380528:0.092652:0.000000
∑:@0.373402:0.067179:0.391945:0.067179:0.391945:0.045200:0.373402:0.045200:0.000000
∑:@0.373402:0.121600:0.391945:0.121600:0.391945:0.099621:0.373402:0.099621:0.000000
=:@0.359043:0.080404:0.368562:0.080404:0.368562:0.065751:0.359043:0.065751:0.000000
−:@0.414319:0.062654:0.423838:0.062654:0.423838:0.048001:0.414319:0.048001:0.000000
=:@0.359043:0.134816:0.368562:0.134816:0.368562:0.120164:0.359043:0.120164:0.000000
−:@0.414319:0.117079:0.423838:0.117079:0.423838:0.102427:0.414319:0.102427:0.000000
−:@0.406916:0.144719:0.416434:0.144719:0.416434:0.130066:0.406916:0.130066:0.000000
=:@0.379669:0.073566:0.385178:0.073566:0.385178:0.065085:0.379669:0.065085:0.000000
=:@0.379669:0.127978:0.385178:0.127978:0.385178:0.119497:0.379669:0.119497:0.000000
 donde :@0.453654:0.135596:0.508202:0.135596:0.508202:0.119098:0.453654:0.119098:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.508681:0.135300:0.515506:0.135300:0.515506:0.120263:0.508681:0.120263:0.000000
 es :@0.516614:0.135274:0.536717:0.135274:0.536717:0.120211:0.516614:0.120211:0.000000:0.000000:0.000000:0.000000
la media :@0.536151:0.135596:0.599900:0.135596:0.599900:0.119098:0.536151:0.119098:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
aritmética de la muestra.:@0.131966:0.158224:0.307010:0.158224:0.307010:0.141726:0.131966:0.141726:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Interculturalidad:@0.684804:0.596869:0.805118:0.596869:0.805118:0.581397:0.684804:0.581397:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El uso de la estadística :@0.678232:0.624801:0.825791:0.624801:0.825791:0.609738:0.678232:0.609738:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
data al siglo V a. C. Cuenta :@0.638496:0.640643:0.814007:0.640643:0.814007:0.625580:0.638496:0.625580:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la historia que los atenien-:@0.638496:0.656485:0.807569:0.656485:0.807569:0.641422:0.638496:0.641422:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ses calculaban la altura de la :@0.638496:0.672327:0.823946:0.672327:0.823946:0.657264:0.638496:0.657264:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
muralla de Platea, contando :@0.638496:0.688169:0.823983:0.688169:0.823983:0.673106:0.638496:0.673106:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el número de ladrillos de una :@0.638496:0.704011:0.830792:0.704011:0.830792:0.688948:0.638496:0.688948:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sección expuesta de la muralla :@0.638496:0.719853:0.840197:0.719853:0.840197:0.704790:0.638496:0.704790:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que estuviera lo suficientemen-:@0.638496:0.735695:0.840640:0.735695:0.840640:0.720632:0.638496:0.720632:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
te cerca como para contarlos. :@0.638496:0.751537:0.833988:0.751537:0.833988:0.736474:0.638496:0.736474:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El conteo era repetido varias :@0.638496:0.767379:0.825388:0.767379:0.825388:0.752316:0.638496:0.752316:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
veces por diferentes soldados. :@0.638496:0.783221:0.835465:0.783221:0.835465:0.768158:0.638496:0.768158:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El valor más frecuente (la moda :@0.638496:0.799063:0.846899:0.799063:0.846899:0.784000:0.638496:0.784000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en términos más modernos) era :@0.638496:0.814905:0.850454:0.814905:0.850454:0.799842:0.638496:0.799842:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tomado como el valor del nú-:@0.638496:0.830747:0.833093:0.830747:0.833093:0.815684:0.638496:0.815684:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mero de ladrillos más probable. :@0.638496:0.846589:0.845228:0.846589:0.845228:0.831526:0.638496:0.831526:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Multiplicando este valor por :@0.638496:0.862431:0.827180:0.862431:0.827180:0.847368:0.638496:0.847368:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la altura de los ladrillos usados :@0.638496:0.878273:0.838106:0.878273:0.838106:0.863210:0.638496:0.863210:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en la muralla les permitía a los :@0.638496:0.894115:0.836908:0.894115:0.836908:0.879052:0.638496:0.879052:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
atenienses determinar la altura :@0.638496:0.909957:0.840181:0.909957:0.840181:0.894894:0.638496:0.894894:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de las escaleras necesarias para :@0.638496:0.925799:0.841131:0.925799:0.841131:0.910736:0.638496:0.910736:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
trepar las murallas.:@0.638496:0.941641:0.758950:0.941641:0.758950:0.926578:0.638496:0.926578:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia :@0.684804:0.096006:0.782426:0.096006:0.782426:0.080533:0.684804:0.080533:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática:@0.684804:0.108574:0.768866:0.108574:0.768866:0.093101:0.684804:0.093101:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La varianza de una :@0.685042:0.133048:0.808717:0.133048:0.808717:0.117985:0.685042:0.117985:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
muestra tiene una desventaja,  :@0.638498:0.148890:0.839392:0.148890:0.839392:0.133827:0.638498:0.133827:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
pues se deben calcular los :@0.638498:0.164732:0.810228:0.164732:0.810228:0.149669:0.638498:0.149669:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desvíos :@0.638498:0.180574:0.689527:0.180574:0.689527:0.165511:0.638498:0.165511:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x – x, i :@0.689527:0.180680:0.737740:0.180682:0.737740:0.165645:0.689527:0.165643:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.696321:0.183628:0.698341:0.183628:0.698341:0.174861:0.696321:0.174861:0.000000
= 1, ...  . Se de-:@0.737740:0.180576:0.831686:0.180576:0.831686:0.165513:0.737740:0.165513:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.776772:0.180682:0.785321:0.180682:0.785321:0.165645:0.776772:0.165645:0.000000
muestra que la varianza puede :@0.638514:0.196418:0.840288:0.196418:0.840288:0.181355:0.638514:0.181355:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
calcularse con la fórmula:@0.638514:0.212260:0.799144:0.212260:0.799144:0.197197:0.638514:0.197197:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.763275:0.270450:0.770795:0.270450:0.770795:0.255848:0.763275:0.255848:0.000000
,:@0.792553:0.260327:0.794991:0.260327:0.794991:0.245725:0.792553:0.245725:0.000000
2:@0.701325:0.253209:0.705677:0.253209:0.705677:0.244758:0.701325:0.244758:0.000000
2:@0.753120:0.234951:0.757473:0.234951:0.757473:0.226499:0.753120:0.226499:0.000000
1:@0.734319:0.254217:0.738671:0.254217:0.738671:0.245765:0.734319:0.245765:0.000000
x:@0.743119:0.242167:0.749735:0.242167:0.749735:0.227591:0.743119:0.227591:0.000000
nx:@0.771987:0.242167:0.787036:0.242167:0.787036:0.227591:0.771987:0.227591:0.000000:0.000000
n:@0.743264:0.270552:0.751551:0.270552:0.751551:0.255976:0.743264:0.255976:0.000000
i:@0.750533:0.244097:0.752478:0.244097:0.752478:0.235660:0.750533:0.235660:0.000000
i:@0.726906:0.254274:0.728850:0.254274:0.728850:0.245837:0.726906:0.245837:0.000000
n:@0.729925:0.226630:0.734721:0.226630:0.734721:0.218193:0.729925:0.218193:0.000000
∑:@0.723195:0.246654:0.741432:0.246654:0.741432:0.225039:0.723195:0.225039:0.000000
σ:@0.686431:0.260875:0.696713:0.260875:0.700937:0.246465:0.690655:0.246465:0.000000
=:@0.710314:0.260885:0.719676:0.260885:0.719676:0.246475:0.710314:0.246475:0.000000
−:@0.761094:0.242623:0.770455:0.242623:0.770455:0.228213:0.761094:0.228213:0.000000
−:@0.753080:0.271008:0.762441:0.271008:0.762441:0.256598:0.753080:0.256598:0.000000
=:@0.729172:0.254544:0.734591:0.254544:0.734591:0.246203:0.729172:0.246203:0.000000
.:@0.796212:0.261380:0.798727:0.261380:0.798727:0.246317:0.796212:0.246317:0.000000
Competencia :@0.684804:0.361836:0.782426:0.361836:0.782426:0.346363:0.684804:0.346363:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
comunicacional:@0.684804:0.374403:0.796762:0.374403:0.796762:0.358931:0.684804:0.358931:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Aprende la siguiente :@0.678232:0.398878:0.814697:0.398878:0.814697:0.383815:0.678232:0.383815:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
simbología::@0.638496:0.414720:0.712319:0.414720:0.712319:0.399657:0.638496:0.399657:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
:@0.638496:0.433532:0.650228:0.433532:0.650228:0.420476:0.638496:0.420476:0.000000
 :@0.650228:0.433242:0.654626:0.433242:0.654626:0.420964:0.650228:0.420964:0.000000
: sumatoria.:@0.654626:0.434127:0.728609:0.434127:0.728609:0.419063:0.654626:0.419063:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.639609:0.454814:0.646434:0.454814:0.646434:0.439777:0.639609:0.439777:0.000000
 : media aritmética.:@0.647540:0.453532:0.770069:0.453532:0.770069:0.438469:0.647540:0.438469:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
σ:@0.638498:0.472476:0.649104:0.472476:0.649104:0.456304:0.638498:0.456304:0.000000
 : letra griega sigma designada :@0.649104:0.472938:0.843718:0.472938:0.843718:0.457875:0.649104:0.457875:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para la varianza.:@0.638498:0.488780:0.740959:0.488780:0.740959:0.473717:0.638498:0.473717:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 ©:@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