260:@0.031627:0.974518:0.062330:0.974518:0.062330:0.956333:0.031627:0.956333:0.000000:0.000000:0.000000
Estadística y probabilidad:@0.073089:0.043661:0.304737:0.043661:0.304737:0.024916:0.073089:0.024916:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Tema 3. Medidas de dispersión con datos agrupados:@0.073089:0.098522:0.846957:0.098522:0.846957:0.067281:0.073089:0.067281:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de :@0.080953:0.349108:0.186995:0.349108:0.186995:0.334168:0.080953:0.334168:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tendencia central (media, :@0.080953:0.364237:0.252401:0.364237:0.252401:0.349297:0.080953:0.349297:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mediana y moda) solo :@0.080953:0.379366:0.231624:0.379366:0.231624:0.364426:0.080953:0.364426:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
nos indican una parte :@0.080953:0.394495:0.228314:0.394495:0.228314:0.379555:0.080953:0.379555:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de la información que :@0.080953:0.409624:0.229385:0.409624:0.229385:0.394684:0.080953:0.394684:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
necesitamos acerca de :@0.080953:0.424753:0.234832:0.424753:0.234832:0.409813:0.080953:0.409813:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
las características de los :@0.080953:0.439882:0.240405:0.439882:0.240405:0.424942:0.080953:0.424942:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos. Para entender :@0.080953:0.455010:0.219717:0.455010:0.219717:0.440071:0.080953:0.440071:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mejor el patrón de los :@0.080953:0.470139:0.229308:0.470139:0.229308:0.455200:0.080953:0.455200:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos, debemos medir :@0.080953:0.485268:0.233084:0.485268:0.233084:0.470328:0.080953:0.470328:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
también su dispersión, :@0.080953:0.500397:0.233616:0.500397:0.233616:0.485457:0.080953:0.485457:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
extensión o variabilidad. :@0.080953:0.515526:0.244116:0.515526:0.244116:0.500586:0.080953:0.500586:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Eso lo logramos con :@0.080953:0.530655:0.217929:0.530655:0.217929:0.515715:0.080953:0.515715:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
con las medidas de :@0.080953:0.545784:0.211778:0.545784:0.211778:0.530844:0.080953:0.530844:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dispersión.:@0.080953:0.560913:0.151929:0.560913:0.151929:0.545973:0.080953:0.545973:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia :@0.080953:0.307910:0.189513:0.307910:0.189513:0.290964:0.080953:0.290964:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática :@0.080953:0.324552:0.178428:0.324552:0.178428:0.307605:0.080953:0.307605:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los resultados de un examen de música, calificado sobre 80 puntos, se muestran :@0.293660:0.247623:0.930989:0.247623:0.930989:0.231189:0.293660:0.231189:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
organizados en la siguiente tabla de frecuencias. Analiza la variabilidad de los datos.:@0.293660:0.264265:0.897821:0.264265:0.897821:0.247831:0.293660:0.247831:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calificaciones del examen de música:@0.476628:0.300354:0.743963:0.300354:0.743963:0.284733:0.476628:0.284733:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calificaciones:@0.491639:0.328619:0.593009:0.328619:0.593009:0.312999:0.491639:0.312999:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
f:@0.708058:0.328619:0.713563:0.328619:0.713563:0.313024:0.708058:0.313024:0.000000
i:@0.713498:0.331507:0.716083:0.331507:0.716083:0.322415:0.713498:0.322415:0.000000
[43 – 47):@0.513707:0.354161:0.570937:0.354161:0.570937:0.339221:0.513707:0.339221:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  6:@0.704323:0.354161:0.719818:0.354161:0.719818:0.339221:0.704323:0.339221:0.000000:0.000000:0.000000
[47 – 51):@0.513707:0.377913:0.570937:0.377913:0.570937:0.362974:0.513707:0.362974:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.703904:0.377913:0.720237:0.377913:0.720237:0.362974:0.703904:0.362974:0.000000:0.000000
[51 – 55):@0.513707:0.401666:0.570937:0.401666:0.570937:0.386726:0.513707:0.386726:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  2:@0.704490:0.401666:0.719651:0.401666:0.719651:0.386726:0.704490:0.386726:0.000000:0.000000:0.000000
[55 – 59):@0.513707:0.425418:0.570937:0.425418:0.570937:0.410478:0.513707:0.410478:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
16:@0.703988:0.425418:0.720153:0.425418:0.720153:0.410478:0.703988:0.410478:0.000000:0.000000
[59 – 63):@0.513707:0.449171:0.570937:0.449171:0.570937:0.434231:0.513707:0.434231:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
12:@0.703988:0.449171:0.720153:0.449171:0.720153:0.434231:0.703988:0.434231:0.000000:0.000000
[63 – 67):@0.513707:0.472923:0.570937:0.472923:0.570937:0.457983:0.513707:0.457983:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.703988:0.472923:0.720153:0.472923:0.720153:0.457983:0.703988:0.457983:0.000000:0.000000
[67 – 71):@0.513707:0.496676:0.570937:0.496676:0.570937:0.481736:0.513707:0.481736:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
24:@0.703988:0.496676:0.720153:0.496676:0.720153:0.481736:0.703988:0.481736:0.000000:0.000000
[71 – 75):@0.513707:0.520428:0.570937:0.520428:0.570937:0.505488:0.513707:0.505488:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  6:@0.704490:0.520428:0.719651:0.520428:0.719651:0.505488:0.704490:0.505488:0.000000:0.000000:0.000000
[75 – 79]:@0.513707:0.544180:0.570937:0.544180:0.570937:0.529241:0.513707:0.529241:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  4:@0.704490:0.544180:0.719651:0.544180:0.719651:0.529241:0.704490:0.529241:0.000000:0.000000:0.000000
La :@0.311843:0.585409:0.330602:0.585409:0.330602:0.570469:0.311843:0.570469:0.000000:0.000000:0.000000
dispersión:@0.330602:0.585409:0.402976:0.585409:0.402976:0.570255:0.330602:0.570255:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 es una medida que reporta cuánto se extienden los datos alrededor de un :@0.402976:0.585409:0.903979:0.585409:0.903979:0.570469:0.402976:0.570469:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
valor medio.:@0.311843:0.600538:0.393988:0.600538:0.393988:0.585598:0.311843:0.585598:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para analizar, es necesario definir las medidas de dispersión de datos agrupados.:@0.293660:0.634868:0.871650:0.634868:0.871650:0.618435:0.293660:0.618435:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las más utilizadas son::@0.307330:0.671449:0.469369:0.671449:0.469369:0.655015:0.307330:0.655015:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Rango: :@0.303983:0.699121:0.360856:0.699121:0.360856:0.682451:0.303983:0.682451:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Varianza: :@0.303983:0.740978:0.375801:0.740978:0.375801:0.724308:0.303983:0.724308:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desviación típica: :@0.303983:0.789521:0.440320:0.789521:0.440320:0.772852:0.303983:0.772852:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desviación media: :@0.303983:0.839326:0.446229:0.839326:0.446229:0.822656:0.303983:0.822656:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Coeficiente de variación: :@0.303983:0.876592:0.493646:0.876592:0.493646:0.859923:0.303983:0.859923:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Coeficiente de variación de DM: :@0.303983:0.920093:0.547671:0.920093:0.547671:0.903424:0.303983:0.903424:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
De los valores que se muestran a continuación, ¿cuál está más alejado y cuál es el :@0.293660:0.164489:0.877720:0.164489:0.877720:0.148056:0.293660:0.148056:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
más cercano a 62?:@0.293660:0.181131:0.426794:0.181131:0.426794:0.164697:0.293660:0.164697:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
120:@0.293660:0.208494:0.320461:0.208494:0.320461:0.192061:0.293660:0.192061:0.000000:0.000000:0.000000
211:@0.353925:0.208494:0.380726:0.208494:0.380726:0.192061:0.353925:0.192061:0.000000:0.000000:0.000000
56:@0.418143:0.208494:0.436035:0.208494:0.436035:0.192061:0.418143:0.192061:0.000000:0.000000
112:@0.474383:0.208494:0.501184:0.208494:0.501184:0.192061:0.474383:0.192061:0.000000:0.000000:0.000000
209:@0.534648:0.208494:0.561449:0.208494:0.561449:0.192061:0.534648:0.192061:0.000000:0.000000:0.000000
68:@0.655105:0.208494:0.672923:0.208494:0.672923:0.192061:0.655105:0.192061:0.000000:0.000000
115:@0.715352:0.208494:0.742153:0.208494:0.742153:0.192061:0.715352:0.192061:0.000000:0.000000:0.000000
70:@0.775617:0.208494:0.793509:0.208494:0.793509:0.192061:0.775617:0.192061:0.000000:0.000000
46:@0.835827:0.208494:0.853719:0.208494:0.853719:0.192061:0.835827:0.192061:0.000000:0.000000
Reto matemático:@0.302768:0.139600:0.437491:0.139600:0.437491:0.122653:0.302768:0.122653:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Rango: :@0.084437:0.678179:0.136122:0.677159:0.135596:0.662010:0.083911:0.663030:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
es la diferencia :@0.136031:0.677160:0.236721:0.675173:0.236202:0.660239:0.135512:0.662225:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
entre el valor máximo :@0.084967:0.693302:0.232025:0.690400:0.231506:0.675466:0.084448:0.678367:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y el mínimo en nuestros :@0.085493:0.708426:0.247950:0.705220:0.247431:0.690286:0.084974:0.693491:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos.:@0.086019:0.723550:0.125300:0.722774:0.124781:0.707840:0.085500:0.708615:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Varianza::@0.086668:0.742240:0.148456:0.741021:0.147929:0.725872:0.086142:0.727091:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 es el :@0.148362:0.741023:0.185030:0.740299:0.184511:0.725364:0.147843:0.726088:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
promedio de los :@0.087194:0.757364:0.199333:0.755151:0.198814:0.740216:0.086675:0.742429:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cuadrados de las :@0.087720:0.772488:0.202105:0.770231:0.201586:0.755296:0.087201:0.757553:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
distancias de cada :@0.088245:0.787611:0.212419:0.785161:0.211900:0.770227:0.087726:0.772677:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
marca de clase a la :@0.088771:0.802735:0.215882:0.800227:0.215363:0.785292:0.088252:0.787800:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
media.:@0.089297:0.817859:0.133877:0.816979:0.133358:0.802045:0.088778:0.802924:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Glosario:@0.137491:0.655086:0.197111:0.655086:0.197111:0.639679:0.137491:0.639679:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
225:@0.874734:0.207418:0.901535:0.207418:0.901535:0.190984:0.874734:0.190984:0.000000:0.000000:0.000000
58:@0.596326:0.207418:0.614217:0.207418:0.614217:0.190984:0.596326:0.190984:0.000000:0.000000
DBA 11 (Ev. 3) Describe el comportamiento de los datos empleando las medidas de tendencia central y el rango.:@0.324626:0.971366:0.916301:0.971366:0.916301:0.959414:0.324626:0.959414:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
MUESTRA EDITORIAL:@0.248902:0.947499:0.888171:0.113285:0.743922:0.050540:0.104653:0.884754:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Muestra editorial solo para fines didácticos – Prohibida su venta:@0.095585:0.659700:0.095585:0.341447:0.077558:0.341447:0.077558:0.659700:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000