196:@0.052592:0.966074:0.080768:0.966074:0.080768:0.949450:0.052592:0.949450:0.000000:0.000000:0.000000
Tema 5:@0.124729:0.083964:0.219414:0.083964:0.219414:0.055923:0.124729:0.055923:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Medidas de dispersión con datos agrupados:@0.305293:0.083059:0.877767:0.083059:0.877767:0.055403:0.305293:0.055403:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los resultados de un examen de música, calificado sobre 80 puntos, se muestran :@0.304744:0.252646:0.907033:0.252646:0.907033:0.236976:0.304744:0.236976:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
organizados en la siguiente tabla de frecuencias. Analizar la variabilidad de los :@0.304744:0.269242:0.907158:0.269242:0.907158:0.253572:0.304744:0.253572:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos.:@0.304744:0.285839:0.348399:0.285839:0.348399:0.270169:0.304744:0.270169:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calificaciones del examen de música:@0.469184:0.315078:0.738643:0.315078:0.738643:0.299500:0.469184:0.299500:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calificaciones:@0.484931:0.343267:0.586836:0.343267:0.586836:0.327689:0.484931:0.327689:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fi:@0.700886:0.343267:0.710736:0.343267:0.710736:0.327689:0.700886:0.327689:0.000000:0.000000
[43 – 47):@0.507228:0.368740:0.564521:0.368740:0.564521:0.354495:0.507228:0.354495:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  6:@0.698055:0.368740:0.713568:0.368740:0.713568:0.354495:0.698055:0.354495:0.000000:0.000000:0.000000
[47 – 51):@0.507228:0.392428:0.564521:0.392428:0.564521:0.378182:0.507228:0.378182:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.697636:0.392428:0.713986:0.392428:0.713986:0.378182:0.697636:0.378182:0.000000:0.000000
[51 – 55):@0.507228:0.416115:0.564521:0.416115:0.564521:0.401870:0.507228:0.401870:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  2:@0.698222:0.416115:0.713400:0.416115:0.713400:0.401870:0.698222:0.401870:0.000000:0.000000:0.000000
[55 – 59):@0.507228:0.439803:0.564521:0.439803:0.564521:0.425557:0.507228:0.425557:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
16:@0.697720:0.439803:0.713903:0.439803:0.713903:0.425557:0.697720:0.425557:0.000000:0.000000
[59 – 63):@0.507228:0.463490:0.564521:0.463490:0.564521:0.449245:0.507228:0.449245:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
12:@0.697720:0.463490:0.713903:0.463490:0.713903:0.449245:0.697720:0.449245:0.000000:0.000000
[63 – 67):@0.507228:0.487178:0.564521:0.487178:0.564521:0.472933:0.507228:0.472933:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.697720:0.487178:0.713903:0.487178:0.713903:0.472933:0.697720:0.472933:0.000000:0.000000
[67 – 71):@0.507228:0.510865:0.564521:0.510865:0.564521:0.496620:0.507228:0.496620:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
24:@0.697720:0.510865:0.713903:0.510865:0.713903:0.496620:0.697720:0.496620:0.000000:0.000000
[71 – 75):@0.507228:0.534553:0.564521:0.534553:0.564521:0.520308:0.507228:0.520308:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  6:@0.698222:0.534553:0.713400:0.534553:0.713400:0.520308:0.698222:0.520308:0.000000:0.000000:0.000000
[75 – 78]:@0.507228:0.558240:0.564521:0.558240:0.564521:0.543995:0.507228:0.543995:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  4:@0.698222:0.558240:0.713400:0.558240:0.713400:0.543995:0.698222:0.543995:0.000000:0.000000:0.000000
Para analizar, es necesario definir las medidas de dispersión de datos agrupados.:@0.304744:0.589770:0.889561:0.589770:0.889561:0.574100:0.304744:0.574100:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las más utilizadas son::@0.319266:0.657231:0.483106:0.657231:0.483106:0.641562:0.319266:0.641562:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Rango: :@0.315913:0.681269:0.373296:0.681269:0.373296:0.664645:0.315913:0.664645:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.378955:0.680554:0.387911:0.680554:0.387911:0.664193:0.378955:0.664193:0.000000
x:@0.406449:0.680554:0.413912:0.680554:0.413912:0.664193:0.406449:0.664193:0.000000
x:@0.438900:0.680554:0.446363:0.680554:0.446363:0.664193:0.438900:0.664193:0.000000
n:@0.414802:0.682548:0.420313:0.682548:0.420313:0.673066:0.414802:0.673066:0.000000
1:@0.446382:0.682548:0.451593:0.682548:0.451593:0.673050:0.446382:0.673050:0.000000
=:@0.391571:0.681232:0.401688:0.681232:0.401688:0.665659:0.391571:0.665659:0.000000
−:@0.424557:0.681232:0.434674:0.681232:0.434674:0.665659:0.424557:0.665659:0.000000
Varianza: :@0.315916:0.719443:0.388484:0.719443:0.388484:0.702819:0.315916:0.702819:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.429239:0.714674:0.448947:0.714674:0.448947:0.691315:0.429239:0.691315:0.000000
σ:@0.388481:0.720499:0.399593:0.720499:0.404158:0.704926:0.393046:0.704926:0.000000
=:@0.414214:0.720495:0.424331:0.720495:0.424331:0.704922:0.414214:0.704922:0.000000
−:@0.477236:0.709860:0.487353:0.709860:0.487353:0.694287:0.477236:0.694287:0.000000
fx x:@0.450111:0.709182:0.499036:0.709182:0.499036:0.692821:0.450111:0.692821:0.000000:0.000000:0.000000:0.000000
N:@0.465466:0.730317:0.476725:0.730317:0.476725:0.713956:0.465466:0.713956:0.000000
(:@0.458722:0.709184:0.463605:0.709184:0.463605:0.692795:0.458722:0.692795:0.000000
):@0.502285:0.709184:0.507168:0.709184:0.507168:0.692795:0.502285:0.692795:0.000000
i:@0.454420:0.711183:0.456620:0.711183:0.456620:0.701701:0.454420:0.701701:0.000000
2:@0.404161:0.712169:0.409373:0.712169:0.409373:0.702671:0.404161:0.702671:0.000000
2:@0.507134:0.701533:0.512346:0.701533:0.512346:0.692035:0.507134:0.692035:0.000000
Desviación típica: :@0.315916:0.764289:0.453736:0.764289:0.453736:0.747665:0.315916:0.747665:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fx x:@0.520605:0.753996:0.569530:0.753996:0.569530:0.737635:0.520605:0.737635:0.000000:0.000000:0.000000:0.000000
N:@0.535937:0.775129:0.547196:0.775129:0.547196:0.758767:0.535937:0.758767:0.000000
(:@0.529191:0.753996:0.534074:0.753996:0.534074:0.737607:0.529191:0.737607:0.000000
):@0.572754:0.753996:0.577637:0.753996:0.577637:0.737607:0.572754:0.737607:0.000000
i:@0.524897:0.755990:0.527097:0.755990:0.527097:0.746508:0.524897:0.746508:0.000000
2:@0.577601:0.746323:0.582813:0.746323:0.582813:0.736825:0.577601:0.736825:0.000000
∑:@0.499703:0.759491:0.519411:0.759491:0.519411:0.736131:0.499703:0.736131:0.000000
σ:@0.453732:0.765317:0.464844:0.765317:0.469409:0.749744:0.458297:0.749744:0.000000
=:@0.472179:0.765312:0.482296:0.765312:0.482296:0.749739:0.472179:0.749739:0.000000
−:@0.547714:0.754676:0.557831:0.754676:0.557831:0.739103:0.547714:0.739103:0.000000
Desviación media: :@0.315916:0.810393:0.459578:0.810393:0.459578:0.793769:0.315916:0.793769:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
DM:@0.459576:0.810134:0.484988:0.810134:0.484988:0.793773:0.459576:0.793773:0.000000:0.000000
fx x:@0.524647:0.799496:0.572320:0.799496:0.572320:0.783135:0.524647:0.783135:0.000000:0.000000:0.000000:0.000000
N:@0.534488:0.820629:0.545747:0.820629:0.545747:0.804268:0.534488:0.804268:0.000000
i:@0.528941:0.801500:0.531141:0.801500:0.531141:0.792018:0.528941:0.792018:0.000000
∑:@0.503747:0.804991:0.523455:0.804991:0.523455:0.781632:0.503747:0.781632:0.000000
=:@0.488735:0.810812:0.498852:0.810812:0.498852:0.795239:0.488735:0.795239:0.000000
−:@0.550505:0.800177:0.560621:0.800177:0.560621:0.784604:0.550505:0.784604:0.000000
Coeficiente de variación: :@0.315916:0.843995:0.507598:0.843995:0.507598:0.827371:0.315916:0.827371:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
σ:@0.548985:0.836612:0.560549:0.836612:0.565300:0.820405:0.553736:0.820405:0.000000
=:@0.536362:0.845476:0.546891:0.845476:0.546891:0.829269:0.536362:0.829269:0.000000
⋅:@0.568504:0.845476:0.573299:0.845476:0.573299:0.829269:0.568504:0.829269:0.000000
CV:@0.507721:0.844772:0.528261:0.844772:0.533260:0.827716:0.512721:0.827716:0.000000:0.000000
x:@0.551417:0.856128:0.559644:0.856128:0.564643:0.839072:0.556416:0.839072:0.000000
100 %:@0.573683:0.844770:0.619959:0.844770:0.619959:0.827714:0.573683:0.827714:0.000000:0.000000:0.000000:0.000000:0.000000
Coeficiente de variación de DM: :@0.315916:0.883813:0.562126:0.883813:0.562126:0.867189:0.315916:0.867189:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.605801:0.886049:0.616182:0.886049:0.616182:0.870069:0.605801:0.870069:0.000000
⋅:@0.651619:0.886049:0.656346:0.886049:0.656346:0.870069:0.651619:0.870069:0.000000
CVM:@0.564989:0.885355:0.599783:0.885355:0.604713:0.868537:0.569919:0.868537:0.000000:0.000000:0.000000
DM:@0.618438:0.876613:0.645346:0.876613:0.650276:0.859795:0.623367:0.859795:0.000000:0.000000
x:@0.627720:0.896552:0.635832:0.896552:0.640762:0.879735:0.632650:0.879735:0.000000
100 %:@0.656728:0.885354:0.702357:0.885354:0.702357:0.868536:0.656728:0.868536:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de :@0.107263:0.349991:0.214294:0.349991:0.214294:0.335746:0.107263:0.335746:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tendencia central :@0.107263:0.365079:0.227428:0.365079:0.227428:0.350833:0.107263:0.350833:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(media, mediana :@0.107263:0.380166:0.222670:0.380166:0.222670:0.365921:0.107263:0.365921:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y moda) solo nos :@0.107263:0.395254:0.224864:0.395254:0.224864:0.381009:0.107263:0.381009:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
indican una parte de :@0.107263:0.410342:0.249237:0.410342:0.249237:0.396096:0.107263:0.396096:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la información que :@0.107263:0.425429:0.236305:0.425429:0.236305:0.411184:0.107263:0.411184:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
necesitamos acerca de :@0.107263:0.440517:0.262656:0.440517:0.262656:0.426272:0.107263:0.426272:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
las características de los :@0.107263:0.455604:0.268586:0.455604:0.268586:0.441359:0.107263:0.441359:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos. Para entender :@0.107263:0.470692:0.247478:0.470692:0.247478:0.456447:0.107263:0.456447:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
mejor el patrón de los :@0.107263:0.485780:0.257195:0.485780:0.257195:0.471534:0.107263:0.471534:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos, debemos medir :@0.107263:0.500867:0.260849:0.500867:0.260849:0.486622:0.107263:0.486622:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
también su dispersión, :@0.107263:0.515955:0.261502:0.515955:0.261502:0.501710:0.107263:0.501710:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
extensión o variabilidad. :@0.107263:0.531042:0.272037:0.531042:0.272037:0.516797:0.107263:0.516797:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Eso logramos con :@0.107263:0.546130:0.229470:0.546130:0.229470:0.531885:0.107263:0.531885:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
con las medidas de :@0.107263:0.561218:0.239372:0.561218:0.239372:0.546972:0.107263:0.546972:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dispersión.:@0.107263:0.576305:0.178996:0.576305:0.178996:0.562060:0.107263:0.562060:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Recuerda que...:@0.137315:0.324966:0.259396:0.324966:0.259396:0.308065:0.137315:0.308065:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
De los valores que se muestran a continuación, ¿cuál está más alejado y cuál es :@0.311726:0.166855:0.901171:0.166855:0.901171:0.151185:0.311726:0.151185:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el más cercano a 62?:@0.311726:0.183452:0.463070:0.183452:0.463070:0.167782:0.311726:0.167782:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
120 :@0.311726:0.207171:0.342740:0.207171:0.342740:0.191501:0.311726:0.191501:0.000000:0.000000:0.000000:0.000000
211 :@0.367009:0.207171:0.398023:0.207171:0.398023:0.191501:0.367009:0.191501:0.000000:0.000000:0.000000:0.000000
 56 :@0.422292:0.207171:0.448349:0.207171:0.448349:0.191501:0.422292:0.191501:0.000000:0.000000:0.000000:0.000000
112 :@0.475898:0.207171:0.506912:0.207171:0.506912:0.191501:0.475898:0.191501:0.000000:0.000000:0.000000:0.000000
209 :@0.536212:0.207171:0.567225:0.207171:0.567225:0.191501:0.536212:0.191501:0.000000:0.000000:0.000000:0.000000
  :@0.598202:0.207171:0.606273:0.207171:0.606273:0.191501:0.598202:0.191501:0.000000:0.000000
68  :@0.650131:0.207171:0.676188:0.207171:0.676188:0.191501:0.650131:0.191501:0.000000:0.000000:0.000000:0.000000
115 :@0.698706:0.207171:0.729720:0.207171:0.729720:0.191501:0.698706:0.191501:0.000000:0.000000:0.000000:0.000000
70 :@0.755666:0.207171:0.777687:0.207171:0.777687:0.191501:0.755666:0.191501:0.000000:0.000000:0.000000
 :@0.799222:0.207171:0.803258:0.207171:0.803258:0.191501:0.799222:0.191501:0.000000
46:@0.857848:0.207171:0.875833:0.207171:0.875833:0.191501:0.857848:0.191501:0.000000:0.000000
Desequilibrio cognitivo:@0.344931:0.140536:0.522686:0.140536:0.522686:0.123635:0.344931:0.123635:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Examen de una partitura:@0.096359:0.289223:0.244565:0.289223:0.244565:0.276403:0.096359:0.276403:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, 435505567.:@0.091447:0.269590:0.091447:0.194312:0.080059:0.194312:0.080059:0.269590:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
rango. :@0.107263:0.773236:0.155208:0.773236:0.155208:0.758124:0.107263:0.758124:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Es la diferencia :@0.155208:0.773236:0.256743:0.773236:0.256743:0.758991:0.155208:0.758991:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
entre el valor máximo :@0.107263:0.788324:0.256007:0.788324:0.256007:0.774079:0.107263:0.774079:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y el mínimo en nuestros :@0.107263:0.803412:0.271433:0.803412:0.271433:0.789166:0.107263:0.789166:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos.:@0.107263:0.818499:0.146949:0.818499:0.146949:0.804254:0.107263:0.804254:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
varianza. :@0.107263:0.840716:0.172429:0.840716:0.172429:0.825603:0.107263:0.825603:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Es el :@0.172429:0.840716:0.205499:0.840716:0.205499:0.826470:0.172429:0.826470:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
promedio de los :@0.107263:0.855803:0.220509:0.855803:0.220509:0.841558:0.107263:0.841558:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cuadrados de las :@0.107263:0.870891:0.222821:0.870891:0.222821:0.856646:0.107263:0.856646:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
distancias de cada :@0.107263:0.885979:0.232755:0.885979:0.232755:0.871733:0.107263:0.871733:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
marca de clase a la :@0.107263:0.901066:0.235770:0.901066:0.235770:0.886821:0.107263:0.886821:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
media.:@0.107263:0.916154:0.152243:0.916154:0.152243:0.901909:0.107263:0.901909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Glosario:@0.139835:0.748725:0.206008:0.748725:0.206008:0.731825:0.139835:0.731825:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La dispersión es una :@0.107263:0.642945:0.245721:0.642945:0.245721:0.628700:0.107263:0.628700:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
medida que reporta :@0.107263:0.658032:0.244748:0.658032:0.244748:0.643787:0.107263:0.643787:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cuánto se extienden los :@0.107263:0.673120:0.269491:0.673120:0.269491:0.658875:0.107263:0.658875:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos alrededor de un :@0.107263:0.688208:0.258250:0.688208:0.258250:0.673962:0.107263:0.673962:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
valor medio.:@0.107263:0.703295:0.189498:0.703295:0.189498:0.689050:0.107263:0.689050:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Sabías que?:@0.139835:0.618435:0.241703:0.618435:0.241703:0.601534:0.139835:0.601534:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.4.3.7. :@0.102779:0.941205:0.144831:0.941205:0.144831:0.930450:0.102779:0.930450:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Calcular e interpretar las medidas de tendencia central (media, mediana, moda) y medidas de dispersión (rango, varianza y desviación estándar) de un conjunto :@0.145288:0.941205:0.901073:0.941205:0.901073:0.931233:0.145288:0.931233:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de datos en la solución de problemas.:@0.102779:0.951265:0.279403:0.951265:0.279403:0.941293:0.102779:0.941293:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
58:@0.595733:0.202810:0.607179:0.202810:0.607179:0.192838:0.595733:0.192838:0.000000:0.000000
225:@0.809616:0.202810:0.826784:0.202810:0.826784:0.192838:0.809616:0.192838:0.000000:0.000000:0.000000