50:@0.058599:0.966558:0.074760:0.966558:0.074760:0.950778:0.058599:0.950778:0.000000:0.000000
Medidas de dispersión:@0.404235:0.120539:0.673563:0.120539:0.673563:0.075879:0.404235:0.075879:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.1 Calcular e interpretar el rango, varianza y desviación estándar, para datos no agrupados y agrupados con apoyo de las TIC.:@0.143847:0.946810:0.700752:0.946810:0.700752:0.936768:0.143847:0.936768:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.3. Juzgar la validez de las soluciones obtenidas en los problemas de aplicación de las medidas de tendencia central y de dispersión para datos agrupados dentro del :@0.143847:0.955611:0.883315:0.955611:0.883315:0.945569:0.143847:0.945569:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
contexto del problema, con apoyo de las TIC.:@0.143847:0.964412:0.340289:0.964412:0.340289:0.954370:0.143847:0.954370:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
En estadística es muy importante el análisis de la variabilidad de los :@0.404236:0.158763:0.895957:0.158763:0.895957:0.142265:0.404236:0.142265:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos. En esta sección nos enfocamos en las medidas de dispersión. :@0.404236:0.176113:0.895862:0.176113:0.895862:0.159616:0.404236:0.159616:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Algunas de estas medidas son el rango (amplitud), la varianza y la :@0.404236:0.193464:0.895959:0.193464:0.895959:0.176966:0.404236:0.176966:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desviación estándar.:@0.404236:0.210815:0.545892:0.210815:0.545892:0.194317:0.404236:0.194317:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Rango:@0.404236:0.246914:0.454755:0.246914:0.454755:0.229231:0.404236:0.229231:0.000000:0.000000:0.000000:0.000000:0.000000
Esta medida de dispersión se conoce también como amplitud.:@0.404236:0.263621:0.836520:0.263621:0.836520:0.247124:0.404236:0.247124:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición.:@0.404236:0.298786:0.484959:0.298786:0.484959:0.281840:0.404236:0.281840:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Sea   = {:@0.484572:0.298323:0.552039:0.298323:0.552039:0.281825:0.484572:0.281825:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.516861:0.298439:0.526821:0.298439:0.526821:0.281970:0.516861:0.281970:0.000000
x , ..., x:@0.551654:0.298439:0.594671:0.298439:0.594671:0.281970:0.551654:0.281970:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1 :@0.558742:0.300995:0.565264:0.300995:0.565264:0.292214:0.558742:0.292214:0.000000:0.000000
n:@0.594285:0.300995:0.599413:0.300995:0.599413:0.292214:0.594285:0.292214:0.000000
} un conjunto de   datos reales. El mínimo :@0.599207:0.298323:0.895909:0.298323:0.895909:0.281825:0.599207:0.281825:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.721135:0.298439:0.730498:0.298439:0.730498:0.281970:0.721135:0.281970:0.000000
valor del conjunto de datos   se denota :@0.404243:0.318435:0.689637:0.318435:0.689637:0.301938:0.404243:0.301938:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.601614:0.318551:0.611574:0.318551:0.611574:0.302082:0.601614:0.302082:0.000000
x  = mín {x i:@0.689637:0.318551:0.796412:0.318555:0.796412:0.302087:0.689637:0.302082:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mín:@0.696986:0.321785:0.713171:0.321785:0.713171:0.312184:0.696986:0.312184:0.000000:0.000000:0.000000
i:@0.777111:0.321785:0.779324:0.321785:0.779324:0.312184:0.777111:0.312184:0.000000
 |   = 1, 2, ...,  }. :@0.779324:0.318440:0.877018:0.318440:0.877018:0.301942:0.779324:0.301942:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.855672:0.318555:0.865035:0.318555:0.865035:0.302087:0.855672:0.302087:0.000000
El máximo del conjunto de datos   se denota con  :@0.404249:0.351768:0.730716:0.351768:0.730716:0.335270:0.404249:0.335270:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.620264:0.351883:0.630224:0.351883:0.630224:0.335415:0.620264:0.335415:0.000000
x  = máx {x i:@0.729252:0.351883:0.826315:0.351879:0.826315:0.335410:0.729252:0.335415:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
máx:@0.736093:0.355109:0.753738:0.355109:0.753738:0.345507:0.736093:0.345507:0.000000:0.000000:0.000000
i:@0.811549:0.355109:0.813762:0.355109:0.813762:0.345507:0.811549:0.345507:0.000000
 |  = 1, 2, ...,  }. :@0.813311:0.351763:0.895921:0.351763:0.895921:0.335266:0.813311:0.335266:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.875365:0.351879:0.884728:0.351879:0.884728:0.335410:0.875365:0.335410:0.000000
 :@0.891779:0.351763:0.895921:0.351763:0.895921:0.335266:0.891779:0.335266:0.000000
El rango   se define como   = :@0.404252:0.380681:0.621406:0.380681:0.621406:0.364184:0.404252:0.364184:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.465554:0.380797:0.475129:0.380797:0.475129:0.364328:0.465554:0.364328:0.000000
R x:@0.592740:0.380797:0.628881:0.380797:0.628881:0.364328:0.592740:0.364328:0.000000:0.000000:0.000000
máx:@0.628864:0.383354:0.645303:0.383354:0.645303:0.374572:0.628864:0.374572:0.000000:0.000000:0.000000
 – :@0.645303:0.380681:0.664087:0.380681:0.664087:0.364184:0.645303:0.364184:0.000000:0.000000:0.000000
x:@0.664087:0.380797:0.671562:0.380797:0.671562:0.364328:0.664087:0.364328:0.000000
mín:@0.671561:0.383354:0.686646:0.383354:0.686646:0.374572:0.671561:0.374572:0.000000:0.000000:0.000000
.:@0.686646:0.380681:0.689401:0.380681:0.689401:0.364184:0.686646:0.364184:0.000000
Ejercicio resuelto:@0.404237:0.415759:0.522215:0.415759:0.522215:0.398972:0.404237:0.398972:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1. :@0.404237:0.432950:0.420593:0.432950:0.420593:0.416236:0.404237:0.416236:0.000000:0.000000:0.000000
  Para el conjunto de datos   = {7,5; 7,9; 7,5; 8,2; 8,1; 8,2; 8,3; 7,5; 8,0; :@0.420593:0.432733:0.896021:0.432733:0.896021:0.416236:0.420593:0.416236:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
A:@0.615384:0.432849:0.626654:0.432849:0.626654:0.416380:0.615384:0.416380:0.000000
8,0} se tiene x  = 7,5; x  = 8,3. Luego, el rango del conjunto   es :@0.427972:0.450084:0.895920:0.450084:0.895920:0.433587:0.427972:0.433587:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mín:@0.524272:0.452757:0.539357:0.452757:0.539357:0.443975:0.524272:0.443975:0.000000:0.000000:0.000000
máx:@0.593230:0.452757:0.609669:0.452757:0.609669:0.443975:0.593230:0.443975:0.000000:0.000000:0.000000
A:@0.861948:0.450200:0.873218:0.450200:0.873218:0.433731:0.861948:0.433731:0.000000
R:@0.427979:0.467551:0.437553:0.467551:0.437553:0.451082:0.427979:0.451082:0.000000
 = 8,3 – 7,5 = 0,8.:@0.437553:0.467435:0.556516:0.467435:0.556516:0.450937:0.437553:0.450937:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desviación media:@0.404236:0.503534:0.545917:0.503534:0.545917:0.485851:0.404236:0.485851:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición.:@0.404236:0.520704:0.488423:0.520704:0.488423:0.503758:0.404236:0.503758:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Sea   = { , ...,  } un conjunto de   datos reales, y  la me-:@0.488425:0.520242:0.891774:0.520242:0.891774:0.503744:0.488425:0.503744:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.519828:0.520357:0.529788:0.520357:0.529788:0.503889:0.519828:0.503889:0.000000
x:@0.553735:0.520357:0.561209:0.520357:0.561209:0.503889:0.553735:0.503889:0.000000
1:@0.561193:0.522914:0.565715:0.522914:0.565715:0.514132:0.561193:0.514132:0.000000
x:@0.586773:0.520357:0.594248:0.520357:0.594248:0.503889:0.586773:0.503889:0.000000
n:@0.594240:0.522914:0.599368:0.522914:0.599368:0.514132:0.594240:0.514132:0.000000
n:@0.722219:0.520357:0.731582:0.520357:0.731582:0.503889:0.722219:0.503889:0.000000
x:@0.836674:0.519946:0.843499:0.519946:0.843499:0.504909:0.836674:0.504909:0.000000
 :@0.844607:0.519920:0.848389:0.519920:0.848389:0.504857:0.844607:0.504857:0.000000
dia aritmética de  , la diferencia de   – :@0.404229:0.537592:0.680407:0.537592:0.680407:0.521095:0.404229:0.521095:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.526438:0.537708:0.536398:0.537708:0.536398:0.521239:0.526438:0.521239:0.000000
x:@0.652459:0.537708:0.659934:0.537708:0.659934:0.521239:0.652459:0.521239:0.000000
i:@0.659901:0.540265:0.661932:0.540265:0.661932:0.531483:0.659901:0.531483:0.000000
x i:@0.681188:0.537297:0.702085:0.537376:0.702085:0.522339:0.681188:0.522260:0.000000:0.000000:0.000000
 ,   :@0.689122:0.537270:0.705867:0.537270:0.705867:0.522207:0.689122:0.522207:0.000000:0.000000:0.000000:0.000000:0.000000
= 1, …, se llama desviación :@0.705577:0.537592:0.895952:0.537592:0.895952:0.521095:0.705577:0.521095:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.891775:0.537592:0.895917:0.537592:0.895917:0.521095:0.891775:0.521095:0.000000
(o también desvío) de x de  .:@0.404249:0.554943:0.613557:0.554943:0.613557:0.538445:0.404249:0.538445:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.573593:0.557616:0.575623:0.557616:0.575623:0.548834:0.573593:0.548834:0.000000
x:@0.602871:0.554648:0.609696:0.554648:0.609696:0.539611:0.602871:0.539611:0.000000
La desviación |  – :@0.404240:0.572294:0.537747:0.572294:0.537747:0.555796:0.404240:0.555796:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.509004:0.572410:0.516479:0.572410:0.516479:0.555941:0.509004:0.555941:0.000000
i:@0.516444:0.575639:0.518656:0.575639:0.518656:0.566038:0.516444:0.566038:0.000000
x i:@0.539170:0.571998:0.561720:0.572078:0.561720:0.557041:0.539170:0.556962:0.000000:0.000000:0.000000
|,   = :@0.547103:0.571972:0.579434:0.571972:0.579434:0.556909:0.547103:0.556909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1, …  se llama desviación absoluta de   de    :@0.579723:0.572294:0.895912:0.572294:0.895912:0.555796:0.579723:0.555796:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
, n:@0.610470:0.572410:0.627134:0.572410:0.627134:0.555941:0.610470:0.555941:0.000000:0.000000:0.000000
x:@0.859776:0.572410:0.867251:0.572410:0.867251:0.555941:0.859776:0.555941:0.000000
i:@0.867246:0.575639:0.869458:0.575639:0.869458:0.566038:0.867246:0.566038:0.000000
x:@0.405342:0.589349:0.412167:0.589349:0.412167:0.574312:0.405342:0.574312:0.000000
 :@0.413275:0.589323:0.417057:0.589323:0.417057:0.574260:0.413275:0.574260:0.000000
(o también desvío absoluto). Sirve para definir la desviación media.:@0.417053:0.589645:0.891705:0.589645:0.891705:0.573147:0.417053:0.573147:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición.:@0.404242:0.624809:0.486695:0.624809:0.486695:0.607863:0.404242:0.607863:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 La desviación media absoluta   de un conjunto de datos :@0.486505:0.624346:0.895901:0.624346:0.895901:0.607848:0.486505:0.607848:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
D:@0.697224:0.624462:0.708860:0.624462:0.708860:0.607993:0.697224:0.607993:0.000000
m:@0.708672:0.627080:0.716548:0.627080:0.716548:0.618314:0.708672:0.618314:0.000000
X:@0.404233:0.677165:0.414193:0.677165:0.414193:0.660696:0.404233:0.660696:0.000000
 = { , ...,  } se define como :@0.414193:0.677049:0.609271:0.677056:0.609271:0.660558:0.414193:0.660551:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.439141:0.677165:0.446616:0.677165:0.446616:0.660696:0.439141:0.660696:0.000000
1:@0.446618:0.679728:0.451141:0.679728:0.451141:0.670947:0.446618:0.670947:0.000000
x:@0.473200:0.677172:0.480675:0.677172:0.480675:0.660703:0.473200:0.660703:0.000000
n:@0.480672:0.679728:0.485800:0.679728:0.485800:0.670947:0.480672:0.670947:0.000000
.:@0.721550:0.677867:0.724308:0.677867:0.724308:0.661348:0.721550:0.661348:0.000000
.:@0.738220:0.740223:0.740979:0.740223:0.740979:0.723703:0.738220:0.723703:0.000000
1:@0.661203:0.670961:0.666127:0.670961:0.666127:0.661399:0.661203:0.661399:0.000000
1:@0.661203:0.733318:0.666127:0.733318:0.666127:0.723756:0.661203:0.723756:0.000000
D:@0.609269:0.677982:0.620920:0.677982:0.620920:0.661492:0.609269:0.661492:0.000000
x:@0.674219:0.657323:0.681703:0.657323:0.681703:0.640833:0.674219:0.640833:0.000000
x:@0.702633:0.657323:0.710118:0.657323:0.710118:0.640833:0.702633:0.640833:0.000000
n:@0.679039:0.689430:0.688414:0.689430:0.688414:0.672940:0.679039:0.672940:0.000000
D:@0.609269:0.740338:0.620920:0.740338:0.620920:0.723848:0.609269:0.723848:0.000000
a:@0.690461:0.719679:0.699451:0.719679:0.699451:0.703189:0.690461:0.703189:0.000000
x:@0.719300:0.719679:0.726785:0.719679:0.726785:0.703189:0.719300:0.703189:0.000000
N:@0.685793:0.751776:0.697714:0.751776:0.697714:0.735286:0.685793:0.735286:0.000000
m:@0.620644:0.680154:0.629219:0.680154:0.629219:0.670610:0.620644:0.670610:0.000000
i:@0.682600:0.659498:0.684799:0.659498:0.684799:0.649954:0.682600:0.649954:0.000000
i:@0.652811:0.671029:0.655011:0.671029:0.655011:0.661484:0.652811:0.661484:0.000000
n:@0.656222:0.639751:0.661649:0.639751:0.661649:0.630206:0.656222:0.630206:0.000000
m:@0.620639:0.742512:0.629214:0.742512:0.629214:0.732968:0.620639:0.732968:0.000000
i:@0.681344:0.721856:0.683544:0.721856:0.683544:0.712312:0.681344:0.712312:0.000000
i:@0.699276:0.721856:0.701475:0.721856:0.701475:0.712312:0.699276:0.712312:0.000000
i:@0.652817:0.733387:0.655017:0.733387:0.655017:0.723842:0.652817:0.723842:0.000000
n:@0.654827:0.702113:0.660253:0.702113:0.660253:0.692569:0.654827:0.692569:0.000000
∑:@0.648622:0.662413:0.669253:0.662413:0.669253:0.637960:0.648622:0.637960:0.000000
∑:@0.648622:0.724769:0.669253:0.724769:0.669253:0.700316:0.648622:0.700316:0.000000
=:@0.634062:0.678504:0.644653:0.678504:0.644653:0.662202:0.634062:0.662202:0.000000
−:@0.688847:0.657844:0.699437:0.657844:0.699437:0.641542:0.688847:0.641542:0.000000
=:@0.634062:0.740860:0.644653:0.740860:0.644653:0.724558:0.634062:0.724558:0.000000
ƒ:@0.670810:0.720200:0.680455:0.720200:0.680455:0.703898:0.670810:0.703898:0.000000
−:@0.705513:0.720200:0.716104:0.720200:0.716104:0.703898:0.705513:0.703898:0.000000
=:@0.655398:0.671329:0.661528:0.671329:0.661528:0.661894:0.655398:0.661894:0.000000
=:@0.655398:0.733686:0.661528:0.733686:0.661528:0.724251:0.655398:0.724251:0.000000
La desviación media absoluta para datos agrupados se calcula así::@0.404236:0.716415:0.866674:0.716415:0.866674:0.699917:0.404236:0.699917:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.575909:0.768525:0.580051:0.768525:0.580051:0.752027:0.575909:0.752027:0.000000
.:@0.690957:0.699431:0.693682:0.699431:0.693682:0.683113:0.690957:0.683113:0.000000
.:@0.707423:0.761027:0.710148:0.761027:0.710148:0.744710:0.707423:0.744710:0.000000
1:@0.631345:0.692610:0.636209:0.692610:0.636209:0.683166:0.631345:0.683166:0.000000
1:@0.631345:0.754207:0.636209:0.754207:0.636209:0.744762:0.631345:0.744762:0.000000
D:@0.580044:0.699545:0.591553:0.699545:0.591553:0.683256:0.580044:0.683256:0.000000
x:@0.644202:0.679138:0.651596:0.679138:0.651596:0.662848:0.644202:0.662848:0.000000
x:@0.672271:0.679138:0.679664:0.679138:0.679664:0.662848:0.672271:0.662848:0.000000
n:@0.648966:0.710843:0.658227:0.710843:0.658227:0.694554:0.648966:0.694554:0.000000
D:@0.580044:0.761126:0.591553:0.761126:0.591553:0.744837:0.580044:0.744837:0.000000
a:@0.660251:0.740740:0.669131:0.740740:0.669131:0.724450:0.660251:0.724450:0.000000
x:@0.688739:0.740740:0.696132:0.740740:0.696132:0.724450:0.688739:0.724450:0.000000
N:@0.655640:0.772445:0.667416:0.772445:0.667416:0.756156:0.655640:0.756156:0.000000
m:@0.591280:0.701693:0.599750:0.701693:0.599750:0.692265:0.591280:0.692265:0.000000
i:@0.652481:0.681289:0.654653:0.681289:0.654653:0.671860:0.652481:0.671860:0.000000
i:@0.623055:0.692678:0.625228:0.692678:0.625228:0.683250:0.623055:0.683250:0.000000
n:@0.626419:0.661787:0.631779:0.661787:0.631779:0.652358:0.626419:0.652358:0.000000
m:@0.591280:0.763288:0.599750:0.763288:0.599750:0.753860:0.591280:0.753860:0.000000
i:@0.651245:0.742884:0.653418:0.742884:0.653418:0.733456:0.651245:0.733456:0.000000
i:@0.668958:0.742884:0.671131:0.742884:0.671131:0.733456:0.668958:0.733456:0.000000
i:@0.623066:0.754274:0.625239:0.754274:0.625239:0.744845:0.623066:0.744845:0.000000
n:@0.625041:0.723377:0.630401:0.723377:0.630401:0.713949:0.625041:0.713949:0.000000
∑:@0.618918:0.684167:0.639298:0.684167:0.639298:0.660012:0.618918:0.660012:0.000000
∑:@0.618918:0.745762:0.639298:0.745762:0.639298:0.721608:0.618918:0.721608:0.000000
=:@0.604536:0.700060:0.614997:0.700060:0.614997:0.683957:0.604536:0.683957:0.000000
−:@0.658652:0.679652:0.669114:0.679652:0.669114:0.663549:0.658652:0.663549:0.000000
=:@0.604536:0.761657:0.614997:0.761657:0.614997:0.745553:0.604536:0.745553:0.000000
ƒ:@0.640836:0.741249:0.650364:0.741249:0.650364:0.725146:0.640836:0.725146:0.000000
−:@0.675116:0.741249:0.685577:0.741249:0.685577:0.725146:0.675116:0.725146:0.000000
=:@0.625611:0.692975:0.631666:0.692975:0.631666:0.683654:0.625611:0.683654:0.000000
=:@0.625611:0.754571:0.631666:0.754571:0.631666:0.745251:0.625611:0.745251:0.000000
Varianza para datos no agrupados:@0.404236:0.804622:0.677328:0.804622:0.677328:0.786940:0.404236:0.786940:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Se llama también desviación cuadrada media de la población.:@0.404236:0.821330:0.818514:0.821330:0.818514:0.804832:0.404236:0.804832:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición.:@0.404236:0.850465:0.488423:0.850465:0.488423:0.833519:0.404236:0.833519:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Sea   = { , ...,  } un conjunto de   datos reales (  > 2).:@0.488425:0.850002:0.879272:0.849996:0.879272:0.833499:0.488425:0.833504:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.520830:0.850118:0.530790:0.850118:0.530790:0.833649:0.520830:0.833649:0.000000
x:@0.555738:0.850118:0.563213:0.850118:0.563213:0.833649:0.555738:0.833649:0.000000
1:@0.563210:0.852669:0.567732:0.852669:0.567732:0.843887:0.563210:0.843887:0.000000
x:@0.589790:0.850112:0.597265:0.850112:0.597265:0.833643:0.589790:0.833643:0.000000
n:@0.597264:0.852669:0.602391:0.852669:0.602391:0.843887:0.597264:0.843887:0.000000
n:@0.727250:0.850112:0.736613:0.850112:0.736613:0.833643:0.727250:0.833643:0.000000
n:@0.833614:0.850112:0.842976:0.850112:0.842976:0.833643:0.833614:0.833643:0.000000
i):@0.404249:0.867564:0.414787:0.867564:0.414787:0.850850:0.404249:0.850850:0.000000:0.000000
  La varianza de la población   se denota   (que se lee sigma al :@0.414787:0.867347:0.895926:0.867347:0.895926:0.850850:0.414787:0.850850:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.632617:0.867463:0.642577:0.867463:0.642577:0.850994:0.632617:0.850994:0.000000
σ:@0.725784:0.866841:0.737401:0.866841:0.737401:0.849129:0.725784:0.849129:0.000000
2:@0.737373:0.860995:0.742326:0.860995:0.742326:0.851377:0.737373:0.851377:0.000000
cuadrado) y se define como: :@0.427975:0.908324:0.635786:0.908324:0.635786:0.891826:0.427975:0.891826:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.686261:0.945962:0.691422:0.945962:0.691422:0.922650:0.686261:0.922650:0.000000
):@0.723780:0.945962:0.728941:0.945962:0.728941:0.922650:0.723780:0.922650:0.000000
,:@0.740376:0.906896:0.742593:0.906896:0.742593:0.893625:0.740376:0.893625:0.000000
1:@0.708275:0.964380:0.715110:0.964380:0.715110:0.951109:0.708275:0.951109:0.000000
,:@0.737767:0.955529:0.739983:0.955529:0.739983:0.942258:0.737767:0.942258:0.000000
2:@0.647086:0.900424:0.651041:0.900424:0.651041:0.892743:0.647086:0.892743:0.000000
2:@0.731449:0.882449:0.735405:0.882449:0.735405:0.874768:0.731449:0.874768:0.000000
1:@0.679091:0.901003:0.683047:0.901003:0.683047:0.893322:0.679091:0.893322:0.000000
2:@0.647086:0.949074:0.651041:0.949074:0.651041:0.941393:0.647086:0.941393:0.000000
2:@0.728830:0.929382:0.732786:0.929382:0.732786:0.921701:0.728830:0.921701:0.000000
1:@0.679091:0.949633:0.683047:0.949633:0.683047:0.941951:0.679091:0.941951:0.000000
x:@0.692915:0.891122:0.698928:0.891122:0.698928:0.877874:0.692915:0.877874:0.000000
n:@0.699021:0.915831:0.706553:0.915831:0.706553:0.902583:0.699021:0.902583:0.000000
x:@0.692915:0.939768:0.698928:0.939768:0.698928:0.926520:0.692915:0.926520:0.000000
x:@0.716456:0.939768:0.722469:0.939768:0.722469:0.926520:0.716456:0.926520:0.000000
n:@0.689119:0.964473:0.696650:0.964473:0.696650:0.951225:0.689119:0.951225:0.000000
i:@0.699653:0.892860:0.701420:0.892860:0.701420:0.885192:0.699653:0.885192:0.000000
i:@0.671819:0.901053:0.673586:0.901053:0.673586:0.893385:0.671819:0.893385:0.000000
n:@0.674806:0.877369:0.679165:0.877369:0.679165:0.869701:0.674806:0.869701:0.000000
i:@0.699653:0.941511:0.701420:0.941511:0.701420:0.933843:0.699653:0.933843:0.000000
i:@0.671819:0.949690:0.673586:0.949690:0.673586:0.942022:0.671819:0.942022:0.000000
n:@0.674806:0.926027:0.679165:0.926027:0.679165:0.918359:0.674806:0.918359:0.000000
∑:@0.668438:0.895588:0.685013:0.895588:0.685013:0.875943:0.668438:0.875943:0.000000
∑:@0.668438:0.944230:0.685013:0.944230:0.685013:0.924585:0.668438:0.924585:0.000000
=:@0.655604:0.907408:0.664112:0.907408:0.664112:0.894311:0.655604:0.894311:0.000000
−:@0.705010:0.891543:0.713518:0.891543:0.713518:0.878446:0.705010:0.878446:0.000000
=:@0.655604:0.956042:0.664112:0.956042:0.664112:0.942945:0.655604:0.942945:0.000000
−:@0.705010:0.940189:0.713518:0.940189:0.713518:0.927092:0.705010:0.927092:0.000000
−:@0.698393:0.964894:0.706901:0.964894:0.706901:0.951797:0.698393:0.951797:0.000000
=:@0.674039:0.901297:0.678963:0.901297:0.678963:0.893717:0.674039:0.893717:0.000000
=:@0.674039:0.949931:0.678963:0.949931:0.678963:0.942351:0.674039:0.942351:0.000000
donde μ es la media :@0.746694:0.908320:0.895942:0.908320:0.895942:0.891822:0.746694:0.891822:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de la población.:@0.427989:0.930948:0.540151:0.930948:0.540151:0.914451:0.427989:0.914451:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Saberes previos:@0.199646:0.101454:0.307805:0.101454:0.307805:0.085981:0.199646:0.085981:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Pueden dos conjuntos :@0.199884:0.130082:0.354498:0.130082:0.354498:0.115019:0.199884:0.115019:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de datos tener la misma media :@0.153341:0.145924:0.356488:0.145924:0.356488:0.130861:0.153341:0.130861:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
aritmética aunque los datos :@0.153341:0.161766:0.336785:0.161766:0.336785:0.146703:0.153341:0.146703:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sean totalmente diferentes?  :@0.153341:0.177608:0.338790:0.177608:0.338790:0.162545:0.153341:0.162545:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Da un ejemplo.:@0.153341:0.193450:0.252089:0.193450:0.252089:0.178387:0.153341:0.178387:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desequilibrio cognitivo:@0.199646:0.237037:0.363493:0.237037:0.363493:0.221565:0.199646:0.221565:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Cuáles son las medidas :@0.199884:0.265665:0.357928:0.265665:0.357928:0.250601:0.199884:0.250601:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de variación o de variabilidad?  :@0.153341:0.281507:0.355395:0.281507:0.355395:0.266443:0.153341:0.266443:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Qué indican?:@0.153341:0.297349:0.244228:0.297349:0.244228:0.282285:0.153341:0.282285:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia :@0.199644:0.415163:0.297267:0.415163:0.297267:0.399690:0.199644:0.399690:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática:@0.199644:0.427731:0.283707:0.427731:0.283707:0.412258:0.199644:0.412258:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•   El rango es una medi-:@0.199880:0.452205:0.355902:0.452205:0.355902:0.437142:0.199880:0.437142:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
da muy sensible de variabilidad :@0.153337:0.468047:0.358857:0.468047:0.358857:0.452984:0.153337:0.452984:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que no permite una buena :@0.153337:0.483889:0.330889:0.483889:0.330889:0.468826:0.153337:0.468826:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
interpretación de los datos.:@0.153337:0.499731:0.329638:0.499731:0.329638:0.484668:0.153337:0.484668:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•   La media aritmética del con-:@0.153337:0.522702:0.354706:0.522702:0.354706:0.507639:0.153337:0.507639:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
junto   está definida como :@0.153337:0.540049:0.331827:0.540052:0.331827:0.524989:0.153337:0.524986:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.192147:0.540488:0.199622:0.540488:0.199622:0.524019:0.192147:0.524019:0.000000
1:@0.181483:0.562635:0.189333:0.562635:0.189333:0.547392:0.181483:0.547392:0.000000
,:@0.225022:0.570878:0.227568:0.570878:0.227568:0.555635:0.225022:0.555635:0.000000
. ,:@0.219261:0.612807:0.227568:0.611667:0.227568:0.596424:0.219261:0.597563:0.000000:0.000000:0.000000
0:@0.404081:0.654742:0.411931:0.654742:0.411931:0.639499:0.404081:0.639499:0.000000
1:@0.203057:0.583573:0.207600:0.583573:0.207600:0.574750:0.203057:0.574750:0.000000
1:@0.164940:0.625503:0.169483:0.625503:0.169483:0.616680:0.164940:0.616680:0.000000
1 1:@0.164940:0.667436:0.169479:0.666294:0.169479:0.657472:0.164940:0.658613:0.000000:0.000000:0.000000
1:@0.248187:0.667436:0.252731:0.667436:0.252731:0.658613:0.248187:0.658613:0.000000
1:@0.291665:0.667436:0.296209:0.667436:0.296209:0.658613:0.291665:0.658613:0.000000
1:@0.336607:0.667436:0.341150:0.667436:0.341150:0.658613:0.336607:0.658613:0.000000
x:@0.155084:0.570982:0.161991:0.570982:0.161991:0.555766:0.155084:0.555766:0.000000
n:@0.180717:0.581550:0.189368:0.581550:0.189368:0.566333:0.180717:0.566333:0.000000
x:@0.212241:0.570982:0.219148:0.570982:0.219148:0.555766:0.212241:0.555766:0.000000
x:@0.174144:0.612913:0.181050:0.612913:0.181050:0.597697:0.174144:0.597697:0.000000
nx x:@0.201129:0.612913:0.219148:0.611772:0.219148:0.596555:0.201129:0.597697:0.000000:0.000000:0.000000:0.000000
x x:@0.180320:0.654849:0.181037:0.653707:0.181037:0.638491:0.180320:0.639632:0.000000:0.000000:0.000000
x nx:@0.206540:0.654849:0.216834:0.653707:0.216834:0.638491:0.206540:0.639632:0.000000:0.000000:0.000000:0.000000
x:@0.257378:0.654849:0.264284:0.654849:0.264284:0.639632:0.257378:0.639632:0.000000
x:@0.301148:0.654849:0.308055:0.654849:0.308055:0.639632:0.301148:0.639632:0.000000
x:@0.345792:0.654849:0.352698:0.654849:0.352698:0.639632:0.345792:0.639632:0.000000
nx:@0.370659:0.654849:0.386376:0.654849:0.386376:0.639632:0.370659:0.639632:0.000000:0.000000
i:@0.219987:0.572988:0.222016:0.572988:0.222016:0.564181:0.219987:0.564181:0.000000
i:@0.195322:0.583636:0.197351:0.583636:0.197351:0.574828:0.195322:0.574828:0.000000
n:@0.198461:0.554773:0.203469:0.554773:0.203469:0.545966:0.198461:0.545966:0.000000
i:@0.181874:0.614917:0.183903:0.614917:0.183903:0.606110:0.181874:0.606110:0.000000
i:@0.157209:0.625565:0.159238:0.625565:0.159238:0.616757:0.157209:0.616757:0.000000
n:@0.160351:0.596707:0.165358:0.596707:0.165358:0.587899:0.160351:0.587899:0.000000
i i:@0.188066:0.656850:0.183906:0.655711:0.183906:0.646903:0.188066:0.648043:0.000000:0.000000:0.000000
i i:@0.157209:0.667498:0.159241:0.666358:0.159241:0.657551:0.157209:0.658691:0.000000:0.000000:0.000000
n n:@0.160351:0.638640:0.165361:0.637501:0.165361:0.628693:0.160351:0.629833:0.000000:0.000000:0.000000
i:@0.265131:0.656858:0.267161:0.656858:0.267161:0.648051:0.265131:0.648051:0.000000
i:@0.240466:0.667506:0.242496:0.667506:0.242496:0.658698:0.240466:0.658698:0.000000
n:@0.243609:0.638648:0.248616:0.638648:0.248616:0.629841:0.243609:0.629841:0.000000
i:@0.283934:0.667506:0.285964:0.667506:0.285964:0.658698:0.283934:0.658698:0.000000
n:@0.287077:0.638648:0.292084:0.638648:0.292084:0.629841:0.287077:0.629841:0.000000
i:@0.353551:0.656866:0.355581:0.656866:0.355581:0.648059:0.353551:0.648059:0.000000
i:@0.328886:0.667514:0.330915:0.667514:0.330915:0.658706:0.328886:0.658706:0.000000
n:@0.332028:0.638656:0.337035:0.638656:0.337035:0.629848:0.332028:0.629848:0.000000
∑:@0.191459:0.575676:0.210496:0.575676:0.210496:0.553112:0.191459:0.553112:0.000000
∑ ∑:@0.153344:0.617606:0.210496:0.616464:0.210496:0.593900:0.153344:0.595042:0.000000:0.000000:0.000000
∑ ∑:@0.153344:0.659528:0.172368:0.658386:0.172368:0.635822:0.153344:0.636964:0.000000:0.000000:0.000000
∑ ∑∑:@0.236596:0.659528:0.344039:0.659528:0.344039:0.636964:0.236596:0.636964:0.000000:0.000000:0.000000:0.000000
(:@0.173078:0.658126:0.179006:0.658126:0.179006:0.638270:0.173078:0.638270:0.000000
):@0.215835:0.658126:0.221762:0.658126:0.221762:0.638270:0.215835:0.638270:0.000000
=:@0.166888:0.571463:0.176661:0.571463:0.176661:0.556421:0.166888:0.556421:0.000000
=:@0.188703:0.613394:0.198476:0.613394:0.198476:0.598352:0.188703:0.598352:0.000000
− =:@0.193812:0.655330:0.198484:0.654188:0.198484:0.639145:0.193812:0.640287:0.000000:0.000000:0.000000
=:@0.224535:0.655330:0.234307:0.655330:0.234307:0.640287:0.224535:0.640287:0.000000
−:@0.270869:0.655330:0.280642:0.655330:0.280642:0.640287:0.270869:0.640287:0.000000
=:@0.312949:0.655330:0.322721:0.655330:0.322721:0.640287:0.312949:0.640287:0.000000
−:@0.359283:0.655330:0.369055:0.655330:0.369055:0.640287:0.359283:0.640287:0.000000
=:@0.391252:0.655330:0.401025:0.655330:0.401025:0.640287:0.391252:0.640287:0.000000
=:@0.197687:0.583913:0.203344:0.583913:0.203344:0.575206:0.197687:0.575206:0.000000
=:@0.159584:0.625843:0.165240:0.625843:0.165240:0.617136:0.159584:0.617136:0.000000
= =:@0.159584:0.667776:0.165244:0.666635:0.165244:0.657928:0.159584:0.659070:0.000000:0.000000:0.000000
=:@0.242832:0.667776:0.248488:0.667776:0.248488:0.659070:0.242832:0.659070:0.000000
=:@0.286310:0.667776:0.291966:0.667776:0.291966:0.659070:0.286310:0.659070:0.000000
=:@0.331251:0.667776:0.336907:0.667776:0.336907:0.659070:0.331251:0.659070:0.000000
 entonces,:@0.231695:0.573936:0.297304:0.573936:0.297304:0.558873:0.231695:0.558873:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.181483:0.558811:0.189333:0.558811:0.189333:0.543567:0.181483:0.543567:0.000000
,:@0.225022:0.567053:0.227568:0.567053:0.227568:0.551810:0.225022:0.551810:0.000000
.:@0.219261:0.608982:0.221807:0.608982:0.221807:0.593739:0.219261:0.593739:0.000000
0:@0.404084:0.650912:0.411934:0.650912:0.411934:0.635668:0.404084:0.635668:0.000000
1:@0.203057:0.579748:0.207600:0.579748:0.207600:0.570925:0.203057:0.570925:0.000000
1:@0.164936:0.621682:0.169479:0.621682:0.169479:0.612859:0.164936:0.612859:0.000000
1:@0.164936:0.663615:0.169479:0.663615:0.169479:0.654792:0.164936:0.654792:0.000000
1:@0.248183:0.663615:0.252727:0.663615:0.252727:0.654792:0.248183:0.654792:0.000000
1:@0.291662:0.663615:0.296205:0.663615:0.296205:0.654792:0.291662:0.654792:0.000000
1:@0.336603:0.663615:0.341146:0.663615:0.341146:0.654792:0.336603:0.654792:0.000000
x:@0.155084:0.567159:0.161991:0.567159:0.161991:0.551943:0.155084:0.551943:0.000000
n:@0.180717:0.577726:0.189368:0.577726:0.189368:0.562510:0.180717:0.562510:0.000000
x:@0.212241:0.567159:0.219148:0.567159:0.219148:0.551943:0.212241:0.551943:0.000000
x:@0.174144:0.609089:0.181050:0.609089:0.181050:0.593872:0.174144:0.593872:0.000000
nx:@0.201129:0.609089:0.216847:0.609089:0.216847:0.593872:0.201129:0.593872:0.000000:0.000000
x:@0.180322:0.651019:0.187228:0.651019:0.187228:0.635802:0.180322:0.635802:0.000000
x:@0.206542:0.651019:0.213448:0.651019:0.213448:0.635802:0.206542:0.635802:0.000000
x:@0.257379:0.651019:0.264286:0.651019:0.264286:0.635802:0.257379:0.635802:0.000000
x:@0.301150:0.651019:0.308057:0.651019:0.308057:0.635802:0.301150:0.635802:0.000000
x:@0.345793:0.651019:0.352700:0.651019:0.352700:0.635802:0.345793:0.635802:0.000000
nx:@0.370660:0.651019:0.386378:0.651019:0.386378:0.635802:0.370660:0.635802:0.000000:0.000000
i:@0.219987:0.569164:0.222016:0.569164:0.222016:0.560357:0.219987:0.560357:0.000000
i:@0.195322:0.579812:0.197351:0.579812:0.197351:0.571005:0.195322:0.571005:0.000000
n:@0.198464:0.550954:0.203471:0.550954:0.203471:0.542147:0.198464:0.542147:0.000000
i:@0.181870:0.611094:0.183900:0.611094:0.183900:0.602287:0.181870:0.602287:0.000000
i:@0.157202:0.621740:0.159232:0.621740:0.159232:0.612932:0.157202:0.612932:0.000000
n:@0.160344:0.592882:0.165352:0.592882:0.165352:0.584075:0.160344:0.584075:0.000000
i:@0.188059:0.653026:0.190089:0.653026:0.190089:0.644218:0.188059:0.644218:0.000000
i:@0.157202:0.663673:0.159232:0.663673:0.159232:0.654866:0.157202:0.654866:0.000000
n:@0.160344:0.634815:0.165352:0.634815:0.165352:0.626008:0.160344:0.626008:0.000000
i:@0.265125:0.653033:0.267154:0.653033:0.267154:0.644226:0.265125:0.644226:0.000000
i:@0.240460:0.663681:0.242489:0.663681:0.242489:0.654874:0.240460:0.654874:0.000000
n:@0.243602:0.634823:0.248609:0.634823:0.248609:0.626016:0.243602:0.626016:0.000000
i:@0.283927:0.663681:0.285957:0.663681:0.285957:0.654874:0.283927:0.654874:0.000000
n:@0.287070:0.634823:0.292077:0.634823:0.292077:0.626016:0.287070:0.626016:0.000000
i:@0.353544:0.653041:0.355574:0.653041:0.355574:0.644234:0.353544:0.644234:0.000000
i:@0.328879:0.663689:0.330909:0.663689:0.330909:0.654881:0.328879:0.654881:0.000000
n:@0.332021:0.634831:0.337029:0.634831:0.337029:0.626023:0.332021:0.626023:0.000000
∑:@0.191459:0.571851:0.210496:0.571851:0.210496:0.549287:0.191459:0.549287:0.000000
∑:@0.153331:0.613773:0.172368:0.613773:0.172368:0.591209:0.153331:0.591209:0.000000
∑:@0.153331:0.655696:0.172368:0.655696:0.172368:0.633131:0.153331:0.633131:0.000000
∑ ∑∑:@0.236583:0.655696:0.344025:0.655696:0.344025:0.633131:0.236583:0.633131:0.000000:0.000000:0.000000:0.000000
(:@0.173078:0.654303:0.179006:0.654303:0.179006:0.634446:0.173078:0.634446:0.000000
):@0.215835:0.654303:0.221762:0.654303:0.221762:0.634446:0.215835:0.634446:0.000000
=:@0.166888:0.567640:0.176661:0.567640:0.176661:0.552597:0.166888:0.552597:0.000000
=:@0.188703:0.609570:0.198476:0.609570:0.198476:0.594527:0.188703:0.594527:0.000000
−:@0.193818:0.651499:0.203590:0.651499:0.203590:0.636457:0.193818:0.636457:0.000000
=:@0.224541:0.651499:0.234313:0.651499:0.234313:0.636457:0.224541:0.636457:0.000000
−:@0.270875:0.651499:0.280647:0.651499:0.280647:0.636457:0.270875:0.636457:0.000000
=:@0.312955:0.651499:0.322727:0.651499:0.322727:0.636457:0.312955:0.636457:0.000000
−:@0.359289:0.651499:0.369061:0.651499:0.369061:0.636457:0.359289:0.636457:0.000000
=:@0.391258:0.651499:0.401030:0.651499:0.401030:0.636457:0.391258:0.636457:0.000000
=:@0.197687:0.580088:0.203344:0.580088:0.203344:0.571382:0.197687:0.571382:0.000000
=:@0.159587:0.622022:0.165244:0.622022:0.165244:0.613315:0.159587:0.613315:0.000000
=:@0.159587:0.663955:0.165244:0.663955:0.165244:0.655249:0.159587:0.655249:0.000000
=:@0.242835:0.663955:0.248491:0.663955:0.248491:0.655249:0.242835:0.655249:0.000000
=:@0.286313:0.663955:0.291969:0.663955:0.291969:0.655249:0.286313:0.655249:0.000000
=:@0.331254:0.663955:0.336910:0.663955:0.336910:0.655249:0.331254:0.655249:0.000000
Por otro lado, tomando en :@0.153344:0.634550:0.329805:0.634550:0.329805:0.619487:0.153344:0.619487:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
consideración las propiedades :@0.153344:0.650392:0.352391:0.650392:0.352391:0.635329:0.153344:0.635329:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
del sumatorio, se tiene:@0.153344:0.666234:0.298812:0.666234:0.298812:0.651171:0.153344:0.651171:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.181483:0.603425:0.189333:0.603425:0.189333:0.588181:0.181483:0.588181:0.000000
.:@0.219273:0.653603:0.221818:0.653603:0.221818:0.638360:0.219273:0.638360:0.000000
0:@0.404093:0.695538:0.411943:0.695538:0.411943:0.680295:0.404093:0.680295:0.000000
1:@0.203057:0.624361:0.207600:0.624361:0.207600:0.615538:0.203057:0.615538:0.000000
1:@0.164936:0.708228:0.169479:0.708228:0.169479:0.699405:0.164936:0.699405:0.000000
1:@0.248183:0.708228:0.252727:0.708228:0.252727:0.699405:0.248183:0.699405:0.000000
1:@0.291662:0.708228:0.296205:0.708228:0.296205:0.699405:0.291662:0.699405:0.000000
1:@0.336603:0.708228:0.341146:0.708228:0.341146:0.699405:0.336603:0.699405:0.000000
x:@0.155084:0.611772:0.161991:0.611772:0.161991:0.596555:0.155084:0.596555:0.000000
n:@0.180717:0.622339:0.189368:0.622339:0.189368:0.607123:0.180717:0.607123:0.000000
x:@0.180322:0.695631:0.187228:0.695631:0.187228:0.680415:0.180322:0.680415:0.000000
x:@0.206542:0.695631:0.213448:0.695631:0.213448:0.680415:0.206542:0.680415:0.000000
x:@0.257388:0.695631:0.264295:0.695631:0.264295:0.680415:0.257388:0.680415:0.000000
x:@0.301159:0.695631:0.308065:0.695631:0.308065:0.680415:0.301159:0.680415:0.000000
x:@0.345802:0.695631:0.352708:0.695631:0.352708:0.680415:0.345802:0.680415:0.000000
nx:@0.370669:0.695631:0.386386:0.695631:0.386386:0.680415:0.370669:0.680415:0.000000:0.000000
i:@0.219987:0.613777:0.222016:0.613777:0.222016:0.604970:0.219987:0.604970:0.000000
i:@0.195322:0.624425:0.197351:0.624425:0.197351:0.615618:0.195322:0.615618:0.000000
n:@0.198464:0.595567:0.203471:0.595567:0.203471:0.586760:0.198464:0.586760:0.000000
i:@0.188062:0.697637:0.190091:0.697637:0.190091:0.688829:0.188062:0.688829:0.000000
in:@0.157202:0.708282:0.165207:0.707983:0.165207:0.699175:0.157202:0.699475:0.000000:0.000000
n:@0.160344:0.679424:0.165352:0.679424:0.165352:0.670617:0.160344:0.670617:0.000000
i:@0.265128:0.697637:0.267157:0.697637:0.267157:0.688829:0.265128:0.688829:0.000000
i:@0.240458:0.708282:0.242488:0.708282:0.242488:0.699475:0.240458:0.699475:0.000000
n:@0.243600:0.679424:0.248608:0.679424:0.248608:0.670617:0.243600:0.670617:0.000000
i:@0.283926:0.708282:0.285956:0.708282:0.285956:0.699475:0.283926:0.699475:0.000000
n:@0.287068:0.679424:0.292076:0.679424:0.292076:0.670617:0.287068:0.670617:0.000000
i:@0.353543:0.697642:0.355572:0.697642:0.355572:0.688835:0.353543:0.688835:0.000000
i:@0.328878:0.708290:0.330907:0.708290:0.330907:0.699483:0.328878:0.699483:0.000000
n:@0.332020:0.679432:0.337027:0.679432:0.337027:0.670625:0.332020:0.670625:0.000000
∑:@0.153331:0.700308:0.172368:0.700308:0.172368:0.677744:0.153331:0.677744:0.000000
∑ ∑∑:@0.236583:0.700308:0.344025:0.700308:0.344025:0.677744:0.236583:0.677744:0.000000:0.000000:0.000000:0.000000
(:@0.173078:0.698916:0.179006:0.698916:0.179006:0.679059:0.173078:0.679059:0.000000
):@0.215835:0.698916:0.221762:0.698916:0.221762:0.679059:0.215835:0.679059:0.000000
=:@0.166888:0.612253:0.176661:0.612253:0.176661:0.597210:0.166888:0.597210:0.000000
−:@0.193818:0.696112:0.203590:0.696112:0.203590:0.681070:0.193818:0.681070:0.000000
=:@0.224541:0.696112:0.234313:0.696112:0.234313:0.681070:0.224541:0.681070:0.000000
−:@0.270884:0.696112:0.280656:0.696112:0.280656:0.681070:0.270884:0.681070:0.000000
=:@0.312964:0.696112:0.322736:0.696112:0.322736:0.681070:0.312964:0.681070:0.000000
−:@0.359298:0.696112:0.369070:0.696112:0.369070:0.681070:0.359298:0.681070:0.000000
=:@0.391267:0.696112:0.401039:0.696112:0.401039:0.681070:0.391267:0.681070:0.000000
=:@0.197687:0.624701:0.203344:0.624701:0.203344:0.615994:0.197687:0.615994:0.000000
=:@0.159587:0.708568:0.165244:0.708568:0.165244:0.699861:0.159587:0.699861:0.000000
=:@0.242835:0.708568:0.248491:0.708568:0.248491:0.699861:0.242835:0.699861:0.000000
=:@0.286313:0.708568:0.291969:0.708568:0.291969:0.699861:0.286313:0.699861:0.000000
=:@0.331254:0.708568:0.336910:0.708568:0.336910:0.699861:0.331254:0.699861:0.000000
1:@0.009661:0.631982:0.017511:0.631982:0.017511:0.616739:0.009661:0.616739:0.000000
,:@0.053200:0.640224:0.055746:0.640224:0.055746:0.624981:0.053200:0.624981:0.000000
.:@0.047451:0.682160:0.049996:0.682160:0.049996:0.666917:0.047451:0.666917:0.000000
0:@0.232261:0.724083:0.240111:0.724083:0.240111:0.708840:0.232261:0.708840:0.000000
1:@0.031234:0.652918:0.035778:0.652918:0.035778:0.644095:0.031234:0.644095:0.000000
1:@0.076361:0.736785:0.080904:0.736785:0.080904:0.727962:0.076361:0.727962:0.000000
1:@0.119839:0.736785:0.124383:0.736785:0.124383:0.727962:0.119839:0.727962:0.000000
1:@0.164780:0.736785:0.169324:0.736785:0.169324:0.727962:0.164780:0.727962:0.000000
n:@0.008895:0.650896:0.017546:0.650896:0.017546:0.635680:0.008895:0.635680:0.000000
x:@0.040420:0.640329:0.047326:0.640329:0.047326:0.625113:0.040420:0.625113:0.000000
x:@0.002309:0.682264:0.009216:0.682264:0.009216:0.667048:0.002309:0.667048:0.000000
nx:@0.029294:0.682264:0.045012:0.682264:0.045012:0.667048:0.029294:0.667048:0.000000:0.000000
x:@0.008486:0.724200:0.015392:0.724200:0.015392:0.708983:0.008486:0.708983:0.000000
x:@0.034706:0.724200:0.041612:0.724200:0.041612:0.708983:0.034706:0.708983:0.000000
x:@0.085543:0.724200:0.092450:0.724200:0.092450:0.708983:0.085543:0.708983:0.000000
x:@0.129314:0.724200:0.136220:0.724200:0.136220:0.708983:0.129314:0.708983:0.000000
x:@0.173974:0.724190:0.180881:0.724190:0.180881:0.708973:0.173974:0.708973:0.000000
nx:@0.198841:0.724190:0.214559:0.724190:0.214559:0.708973:0.198841:0.708973:0.000000:0.000000
i:@0.048164:0.642334:0.050194:0.642334:0.050194:0.633527:0.048164:0.633527:0.000000
i:@0.023499:0.652982:0.025528:0.652982:0.025528:0.644175:0.023499:0.644175:0.000000
n:@0.026641:0.624124:0.031648:0.624124:0.031648:0.615317:0.026641:0.615317:0.000000
i:@0.010053:0.684268:0.012083:0.684268:0.012083:0.675460:0.010053:0.675460:0.000000
i:@0.016245:0.726201:0.018275:0.726201:0.018275:0.717394:0.016245:0.717394:0.000000
i:@0.093311:0.726209:0.095341:0.726209:0.095341:0.717402:0.093311:0.717402:0.000000
i:@0.068646:0.736857:0.070676:0.736857:0.070676:0.728049:0.068646:0.728049:0.000000
n:@0.071788:0.707999:0.076796:0.707999:0.076796:0.699192:0.071788:0.699192:0.000000
i:@0.112114:0.736857:0.114143:0.736857:0.114143:0.728049:0.112114:0.728049:0.000000
n:@0.115256:0.707999:0.120263:0.707999:0.120263:0.699192:0.115256:0.699192:0.000000
i:@0.181727:0.726194:0.183757:0.726194:0.183757:0.717386:0.181727:0.717386:0.000000
i:@0.157058:0.736841:0.159088:0.736841:0.159088:0.728033:0.157058:0.728033:0.000000
∑:@0.019637:0.645023:0.038675:0.645023:0.038675:0.622458:0.019637:0.622458:0.000000
∑:@-0.018491:0.686945:0.000546:0.686945:0.000546:0.664380:-0.018491:0.664380:0.000000
∑:@-0.018491:0.728867:0.000546:0.728867:0.000546:0.706303:-0.018491:0.706303:0.000000
∑ ∑∑:@0.064761:0.728867:0.172204:0.728867:0.172204:0.706303:0.064761:0.706303:0.000000:0.000000:0.000000:0.000000
(:@0.001257:0.727473:0.007184:0.727473:0.007184:0.707616:0.001257:0.707616:0.000000
):@0.044013:0.727473:0.049940:0.727473:0.049940:0.707616:0.044013:0.707616:0.000000
=:@-0.004935:0.640810:0.004837:0.640810:0.004837:0.625767:-0.004935:0.625767:0.000000
=:@0.016888:0.682745:0.026661:0.682745:0.026661:0.667703:0.016888:0.667703:0.000000
−:@0.021997:0.724681:0.031769:0.724681:0.031769:0.709638:0.021997:0.709638:0.000000
=:@0.052720:0.724681:0.062492:0.724681:0.062492:0.709638:0.052720:0.709638:0.000000
−:@0.099054:0.724681:0.108827:0.724681:0.108827:0.709638:0.099054:0.709638:0.000000
=:@0.141134:0.724681:0.150906:0.724681:0.150906:0.709638:0.141134:0.709638:0.000000
−:@0.187468:0.724681:0.197240:0.724681:0.197240:0.709638:0.187468:0.709638:0.000000
=:@0.219437:0.724681:0.229210:0.724681:0.229210:0.709638:0.219437:0.709638:0.000000
=:@0.025865:0.653258:0.031521:0.653258:0.031521:0.644551:0.025865:0.644551:0.000000
=:@0.071012:0.737125:0.076668:0.737125:0.076668:0.728418:0.071012:0.728418:0.000000
=:@0.114490:0.737125:0.120147:0.737125:0.120147:0.728418:0.114490:0.728418:0.000000
=:@0.159432:0.737125:0.165088:0.737125:0.165088:0.728418:0.159432:0.728418:0.000000
por eso, no se toma la media :@0.153344:0.746379:0.344245:0.746379:0.344245:0.731315:0.153344:0.731315:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
aritmética de las desviaciones :@0.153344:0.762220:0.347907:0.762220:0.347907:0.747157:0.153344:0.747157:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
como medida de variabilidad.:@0.153344:0.778062:0.345582:0.778062:0.345582:0.762999:0.153344:0.762999:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000