54:@0.058599:0.966558:0.074760:0.966558:0.074760:0.950778:0.058599:0.950778:0.000000:0.000000
Coeficiente de variación:@0.404235:0.124102:0.698792:0.124102:0.698792:0.079443:0.404235:0.079443:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.4. Calcular e interpretar el coeficiente de variación de un conjunto de datos (agrupados y no agrupados).:@0.143847:0.944403:0.619804:0.944403:0.619804:0.934361:0.143847:0.934361:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.5.3.2. Resolver y plantear problemas de aplicación de las medidas de tendencia central y de dispersión para datos agrupados, con apoyo de las TIC.:@0.143847:0.953204:0.785277:0.953204:0.785277:0.943162:0.143847:0.943162:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Proporciona una medida de dispersión que es independiente de la :@0.404236:0.158476:0.895922:0.158476:0.895922:0.141978:0.404236:0.141978:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
unidad de medida. Generalmente se usa para comparar dos desvia-:@0.404236:0.175827:0.891794:0.175827:0.891794:0.159329:0.404236:0.159329:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ciones estándar.:@0.404236:0.193177:0.516570:0.193177:0.516570:0.176680:0.404236:0.176680:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición.:@0.404236:0.228342:0.488423:0.228342:0.488423:0.211396:0.404236:0.211396:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 El coeficiente de variación   se define como::@0.488425:0.227879:0.807974:0.227879:0.807974:0.211381:0.488425:0.211381:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
V:@0.680999:0.227995:0.691749:0.227995:0.691749:0.211526:0.680999:0.211526:0.000000
V = :@0.537224:0.260585:0.567143:0.260585:0.567143:0.244116:0.537224:0.244116:0.000000:0.000000:0.000000:0.000000
desviación estándar :@0.570417:0.251856:0.714579:0.251856:0.714579:0.235358:0.570417:0.235358:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
media aritmética:@0.580357:0.269452:0.700515:0.269452:0.700515:0.252955:0.580357:0.252955:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 = :@0.713712:0.260146:0.731143:0.260146:0.731143:0.245083:0.713712:0.245083:0.000000:0.000000:0.000000
σ:@0.737899:0.252436:0.749516:0.252436:0.749516:0.234724:0.737899:0.234724:0.000000
x :@0.740058:0.271947:0.752002:0.272026:0.752002:0.256963:0.740058:0.256884:0.000000:0.000000
.:@0.756258:0.260145:0.758774:0.260145:0.758774:0.245082:0.756258:0.245082:0.000000
 :@0.404236:0.277818:0.408378:0.277818:0.408378:0.261320:0.404236:0.261320:0.000000
Con frecuencia, el coeficiente de variación se expresa como porcentaje::@0.404236:0.295168:0.891830:0.295168:0.891830:0.278671:0.404236:0.278671:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
V = :@0.536261:0.324939:0.566180:0.324939:0.566180:0.308471:0.536261:0.308471:0.000000:0.000000:0.000000:0.000000
desviación estándar :@0.569455:0.316216:0.713617:0.316216:0.713617:0.299718:0.569455:0.299718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
media aritmética:@0.579396:0.333812:0.699553:0.333812:0.699553:0.317314:0.579396:0.317314:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  × 100.:@0.712750:0.324506:0.759751:0.324506:0.759751:0.309443:0.712750:0.309443:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404236:0.362228:0.408378:0.362228:0.408378:0.345759:0.404236:0.345759:0.000000
 :@0.464544:0.362228:0.468686:0.362228:0.468686:0.345759:0.464544:0.345759:0.000000
   V =:@0.524856:0.362228:0.563059:0.362228:0.563059:0.345759:0.524856:0.345759:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.563057:0.361792:0.566839:0.361792:0.566839:0.346728:0.563057:0.346728:0.000000
σ:@0.573595:0.354081:0.585211:0.354081:0.585211:0.336369:0.573595:0.336369:0.000000
x :@0.575752:0.373593:0.587696:0.373672:0.587696:0.358609:0.575752:0.358529:0.000000:0.000000
 × 100.:@0.591953:0.361790:0.635171:0.361790:0.635171:0.346727:0.591953:0.346727:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Ejercicios resueltos:@0.404236:0.414540:0.534891:0.414540:0.534891:0.397753:0.404236:0.397753:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.:@0.404236:0.431732:0.416508:0.431732:0.416508:0.415017:0.404236:0.415017:0.000000:0.000000
  La masa en kilogramos de cinco estudiantes de un colegio, de 14 :@0.416508:0.431515:0.895862:0.431515:0.895862:0.415017:0.416508:0.415017:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
años de edad, se muestran en el conjunto   = {54, 49, 49, 52, 56}.:@0.427971:0.448866:0.883669:0.448866:0.883669:0.432368:0.427971:0.432368:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
C:@0.727524:0.448982:0.737562:0.448982:0.737562:0.432513:0.727524:0.432513:0.000000
La media aritmética es :@0.427971:0.475268:0.591146:0.475268:0.591146:0.458770:0.427971:0.458770:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x = :@0.592024:0.474868:0.617617:0.474947:0.617617:0.459884:0.592024:0.459805:0.000000:0.000000:0.000000:0.000000
260 :@0.620069:0.468125:0.649699:0.468125:0.649699:0.451628:0.620069:0.451628:0.000000:0.000000:0.000000:0.000000
5:@0.628565:0.485722:0.637061:0.485722:0.637061:0.469224:0.628565:0.469224:0.000000
 = 52 kg.:@0.648004:0.474949:0.702885:0.474949:0.702885:0.459885:0.648004:0.459885:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404236:0.492620:0.408378:0.492620:0.408378:0.476122:0.404236:0.476122:0.000000
 :@0.404236:0.522290:0.408378:0.522290:0.408378:0.505792:0.404236:0.505792:0.000000
La desviación estándar es :@0.427971:0.522290:0.611008:0.522290:0.611008:0.505792:0.427971:0.505792:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
31:@0.659402:0.512784:0.676432:0.512784:0.676432:0.496175:0.659402:0.496175:0.000000:0.000000
4:@0.662828:0.533275:0.671382:0.533275:0.671382:0.516665:0.662828:0.516665:0.000000
2,78.:@0.694399:0.521764:0.728207:0.521764:0.728207:0.505154:0.694399:0.505154:0.000000:0.000000:0.000000:0.000000:0.000000
100:@0.672526:0.562232:0.698032:0.562232:0.698032:0.545622:0.672526:0.545622:0.000000:0.000000:0.000000
2,78:@0.716478:0.553250:0.747589:0.553250:0.747589:0.536640:0.716478:0.536640:0.000000:0.000000:0.000000:0.000000
52:@0.723344:0.573746:0.740374:0.573746:0.740374:0.557137:0.723344:0.557137:0.000000:0.000000
100 5,35 %.:@0.762505:0.562232:0.854986:0.562232:0.854986:0.545622:0.762505:0.545622:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
V:@0.613193:0.562348:0.624016:0.562348:0.624016:0.545767:0.613193:0.545767:0.000000
x:@0.646496:0.573863:0.654022:0.573863:0.654022:0.557282:0.646496:0.557282:0.000000
σ:@0.611533:0.522405:0.623229:0.522405:0.628033:0.506013:0.616337:0.506013:0.000000
σ:@0.641309:0.553892:0.653005:0.553892:0.657810:0.537501:0.646113:0.537501:0.000000
=:@0.631204:0.522405:0.641853:0.522405:0.641853:0.506013:0.631204:0.506013:0.000000
=:@0.680859:0.522405:0.691507:0.522405:0.691507:0.506013:0.680859:0.506013:0.000000
=:@0.628305:0.562872:0.638953:0.562872:0.638953:0.546481:0.628305:0.546481:0.000000
×:@0.660929:0.562872:0.671578:0.562872:0.671578:0.546481:0.660929:0.546481:0.000000
=:@0.701409:0.562872:0.712058:0.562872:0.712058:0.546481:0.701409:0.546481:0.000000
×:@0.750908:0.562872:0.761557:0.562872:0.761557:0.546481:0.750908:0.546481:0.000000
=:@0.791388:0.562872:0.802037:0.562872:0.802037:0.546481:0.791388:0.546481:0.000000
 :@0.404236:0.539643:0.408378:0.539643:0.408378:0.523145:0.404236:0.523145:0.000000
 :@0.404236:0.556994:0.408378:0.556994:0.408378:0.540496:0.404236:0.540496:0.000000
El coeficiente de variación expresado en porcentaje es::@0.427971:0.556994:0.812947:0.556994:0.812947:0.540496:0.427971:0.540496:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404236:0.587921:0.408378:0.587921:0.408378:0.571424:0.404236:0.571424:0.000000
31:@0.578473:0.533377:0.595503:0.533377:0.595503:0.516767:0.578473:0.516767:0.000000:0.000000
4:@0.581906:0.553873:0.590460:0.553873:0.590460:0.537263:0.581906:0.537263:0.000000
2,78.:@0.613483:0.542358:0.647291:0.542358:0.647291:0.525749:0.613483:0.525749:0.000000:0.000000:0.000000:0.000000:0.000000
100:@0.591597:0.582824:0.617103:0.582824:0.617103:0.566214:0.591597:0.566214:0.000000:0.000000:0.000000
2,78:@0.635549:0.573842:0.666660:0.573842:0.666660:0.557232:0.635549:0.557232:0.000000:0.000000:0.000000:0.000000
52:@0.642415:0.594338:0.659445:0.594338:0.659445:0.577729:0.642415:0.577729:0.000000:0.000000
100 5,35 %.:@0.681576:0.582824:0.774057:0.582824:0.774057:0.566214:0.681576:0.566214:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
V:@0.532264:0.582940:0.543087:0.582940:0.543087:0.566359:0.532264:0.566359:0.000000
x:@0.565567:0.594455:0.573093:0.594455:0.573093:0.577874:0.565567:0.577874:0.000000
σ:@0.530604:0.542997:0.542299:0.542997:0.547104:0.526605:0.535408:0.526605:0.000000
σ:@0.560383:0.574485:0.572078:0.574485:0.576883:0.558093:0.565187:0.558093:0.000000
=:@0.550274:0.542997:0.560922:0.542997:0.560922:0.526605:0.550274:0.526605:0.000000
=:@0.599928:0.542997:0.610576:0.542997:0.610576:0.526605:0.599928:0.526605:0.000000
=:@0.547375:0.583464:0.558024:0.583464:0.558024:0.567073:0.547375:0.567073:0.000000
×:@0.580000:0.583464:0.590648:0.583464:0.590648:0.567073:0.580000:0.567073:0.000000
=:@0.620480:0.583464:0.631128:0.583464:0.631128:0.567073:0.620480:0.567073:0.000000
×:@0.669979:0.583464:0.680628:0.583464:0.680628:0.567073:0.669979:0.567073:0.000000
=:@0.710459:0.583464:0.721108:0.583464:0.721108:0.567073:0.710459:0.567073:0.000000
 :@0.404236:0.605273:0.408378:0.605273:0.408378:0.588775:0.404236:0.588775:0.000000
   La masa en kilogramos de estos cinco estudiantes, a la edad de 10 :@0.404236:0.622624:0.895916:0.622624:0.895916:0.606126:0.404236:0.606126:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
años fue: C = {44, 42, 45, 39, 46}. Se tiene:@0.427971:0.639974:0.712191:0.639974:0.712191:0.623477:0.427971:0.623477:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.404236:0.657325:0.408378:0.657325:0.408378:0.640827:0.404236:0.640827:0.000000
 :@0.404236:0.783436:0.408378:0.783436:0.408378:0.766939:0.404236:0.766939:0.000000
216:@0.496537:0.674008:0.522042:0.674008:0.522042:0.657399:0.496537:0.657399:0.000000:0.000000:0.000000
5:@0.505013:0.694504:0.513566:0.694504:0.513566:0.677895:0.505013:0.677895:0.000000
43,2:@0.540914:0.682990:0.571597:0.682990:0.571597:0.666380:0.540914:0.666380:0.000000:0.000000:0.000000:0.000000
.:@0.596889:0.682990:0.599662:0.682990:0.599662:0.666380:0.596889:0.666380:0.000000
30,8:@0.512926:0.717081:0.544036:0.717081:0.544036:0.700472:0.512926:0.700472:0.000000:0.000000:0.000000:0.000000
5:@0.524195:0.737577:0.532748:0.737577:0.532748:0.720968:0.524195:0.720968:0.000000
2,77.:@0.563994:0.726063:0.597800:0.726063:0.597800:0.709453:0.563994:0.709453:0.000000:0.000000:0.000000:0.000000:0.000000
100:@0.526057:0.767127:0.551562:0.767127:0.551562:0.750518:0.526057:0.750518:0.000000:0.000000:0.000000
2,77:@0.570007:0.758145:0.601117:0.758145:0.601117:0.741536:0.570007:0.741536:0.000000:0.000000:0.000000:0.000000
43,2:@0.570433:0.778641:0.601117:0.778641:0.601117:0.762032:0.570433:0.762032:0.000000:0.000000:0.000000:0.000000
100 6,42 %.:@0.616013:0.767127:0.710585:0.767127:0.710585:0.750518:0.616013:0.750518:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.468588:0.683106:0.476114:0.683106:0.476114:0.666526:0.468588:0.666526:0.000000
kg:@0.580015:0.683106:0.595551:0.683106:0.595551:0.666526:0.580015:0.666526:0.000000:0.000000
V:@0.466687:0.767243:0.477510:0.767243:0.477510:0.750663:0.466687:0.750663:0.000000
x:@0.499989:0.778758:0.507515:0.778758:0.507515:0.762178:0.499989:0.762178:0.000000
σ:@0.465061:0.726703:0.476757:0.726703:0.481562:0.710312:0.469866:0.710312:0.000000
σ:@0.494841:0.758783:0.506536:0.758783:0.511341:0.742392:0.499645:0.742392:0.000000
=:@0.481463:0.683627:0.492111:0.683627:0.492111:0.667236:0.481463:0.667236:0.000000
=:@0.526945:0.683627:0.537593:0.683627:0.537593:0.667236:0.526945:0.667236:0.000000
=:@0.484722:0.726700:0.495370:0.726700:0.495370:0.710309:0.484722:0.710309:0.000000
=:@0.550453:0.726700:0.561101:0.726700:0.561101:0.710309:0.550453:0.710309:0.000000
=:@0.481832:0.767764:0.492480:0.767764:0.492480:0.751374:0.481832:0.751374:0.000000
×:@0.514455:0.767764:0.525103:0.767764:0.525103:0.751374:0.514455:0.751374:0.000000
=:@0.554933:0.767764:0.565581:0.767764:0.565581:0.751374:0.554933:0.751374:0.000000
×:@0.604430:0.767764:0.615078:0.767764:0.615078:0.751374:0.604430:0.751374:0.000000
=:@0.644908:0.767764:0.655556:0.767764:0.655556:0.751374:0.644908:0.751374:0.000000
 :@0.404236:0.800783:0.408378:0.800783:0.408378:0.784285:0.404236:0.784285:0.000000
De estos resultados se concluye que la dispersión de las masas de los :@0.404236:0.818134:0.895959:0.818134:0.895959:0.801636:0.404236:0.801636:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
estudiantes a la edad de 10 años es ligeramente mayor que a los 14 :@0.404236:0.835485:0.895997:0.835485:0.895997:0.818987:0.404236:0.818987:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
años.:@0.404236:0.852835:0.440455:0.852835:0.440455:0.836338:0.404236:0.836338:0.000000:0.000000:0.000000:0.000000:0.000000
Saberes previos:@0.199646:0.110502:0.307805:0.110502:0.307805:0.095030:0.199646:0.095030:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿En qué se aplican las :@0.199884:0.139130:0.341024:0.139130:0.341024:0.124067:0.199884:0.124067:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
medidas de tendencia central  :@0.153341:0.154972:0.352528:0.154972:0.352528:0.139909:0.153341:0.139909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y dispersión?:@0.153341:0.170814:0.235484:0.170814:0.235484:0.155751:0.153341:0.155751:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desequilibrio cognitivo:@0.199646:0.227224:0.363493:0.227224:0.363493:0.211751:0.199646:0.211751:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Qué es el coeficiente de :@0.199884:0.255851:0.363962:0.255851:0.363962:0.240788:0.199884:0.240788:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
variación y para qué se usa?:@0.153341:0.271693:0.331473:0.271693:0.331473:0.256630:0.153341:0.256630:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, 199867328:@0.143060:0.719137:0.143060:0.650964:0.131591:0.650964:0.131591:0.719137:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Interdisciplinariedad:@0.199644:0.365645:0.346429:0.365645:0.346429:0.350173:0.199644:0.350173:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Matemática  :@0.199880:0.394695:0.291894:0.394695:0.291894:0.379223:0.199880:0.379223:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y Estadística:@0.153337:0.410537:0.239755:0.410537:0.239755:0.395065:0.153337:0.395065:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Cuando se realiza un estudio :@0.153337:0.433085:0.343360:0.433085:0.343360:0.418022:0.153337:0.418022:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
estadístico, es importante :@0.153337:0.448927:0.323252:0.448927:0.323252:0.433864:0.153337:0.433864:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
determinar las medidas de dis-:@0.153337:0.464769:0.351788:0.464769:0.351788:0.449706:0.153337:0.449706:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
persión porque proporcionan :@0.153337:0.480611:0.349712:0.480611:0.349712:0.465548:0.153337:0.465548:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
información que permite juzgar :@0.153337:0.496453:0.362586:0.496453:0.362586:0.481390:0.153337:0.481390:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la confiabilidad de los resulta-:@0.153337:0.512295:0.345577:0.512295:0.345577:0.497232:0.153337:0.497232:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dos obtenidos.:@0.153337:0.528137:0.248974:0.528137:0.248974:0.513074:0.153337:0.513074:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Por ejemplo, cuando una em-:@0.153344:0.747656:0.345355:0.747656:0.345355:0.732593:0.153344:0.732593:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
presa de servicios decide dar un :@0.153344:0.763498:0.363647:0.763498:0.363647:0.748435:0.153344:0.748435:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
incentivo económico  :@0.153344:0.779340:0.298739:0.779340:0.298739:0.764277:0.153344:0.764277:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
al mejor vendedor del mes,  :@0.153344:0.795182:0.337015:0.795182:0.337015:0.780119:0.153344:0.780119:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
es necesario utilizar el coeficiente  :@0.153344:0.811024:0.363070:0.811024:0.363070:0.795961:0.153344:0.795961:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de variación en las ventas :@0.153344:0.826866:0.321644:0.826866:0.321644:0.811803:0.153344:0.811803:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
realizadas para determinar al :@0.153344:0.842708:0.341696:0.842708:0.341696:0.827645:0.153344:0.827645:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ganador.:@0.153344:0.858550:0.208471:0.858550:0.208471:0.843487:0.153344:0.843487:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000