191:@0.937671:0.974518:0.968375:0.974518:0.968375:0.956333:0.937671:0.956333:0.000000:0.000000:0.000000
Pensamiento aleatorio:@0.725364:0.043660:0.926913:0.043660:0.926913:0.024915:0.725364:0.024915:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3.1.2 Mediana:@0.073089:0.136836:0.178835:0.136836:0.178835:0.120167:0.073089:0.120167:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para calcular la estatura mediana, se ordena cada una de las estaturas obtenidas en forma :@0.073089:0.167776:0.709899:0.167776:0.709899:0.151342:0.073089:0.151342:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ascendente.:@0.073089:0.184418:0.160897:0.184418:0.160897:0.167984:0.073089:0.167984:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,34:@0.084520:0.221307:0.114450:0.221307:0.114450:0.204874:0.084520:0.204874:0.000000:0.000000:0.000000:0.000000
1,34:@0.137293:0.221307:0.167224:0.221307:0.167224:0.204874:0.137293:0.204874:0.000000:0.000000:0.000000:0.000000
1,34 :@0.190067:0.221307:0.224028:0.221307:0.224028:0.204874:0.190067:0.204874:0.000000:0.000000:0.000000:0.000000:0.000000
1,34:@0.242841:0.221307:0.272771:0.221307:0.272771:0.204874:0.242841:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.295614:0.221307:0.325544:0.221307:0.325544:0.204874:0.295614:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.348388:0.221307:0.378318:0.221307:0.378318:0.204874:0.348388:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.401161:0.221307:0.431092:0.221307:0.431092:0.204874:0.401161:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.453935:0.221307:0.483865:0.221307:0.483865:0.204874:0.453935:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.506709:0.221307:0.536639:0.221307:0.536639:0.204874:0.506709:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.559482:0.221307:0.589412:0.221307:0.589412:0.204874:0.559482:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.612256:0.221307:0.642186:0.221307:0.642186:0.204874:0.612256:0.204874:0.000000:0.000000:0.000000:0.000000
1,35:@0.664183:0.221307:0.694113:0.221307:0.694113:0.204874:0.664183:0.204874:0.000000:0.000000:0.000000:0.000000
1,36:@0.084538:0.246007:0.114468:0.246007:0.114468:0.229573:0.084538:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.137312:0.246007:0.167242:0.246007:0.167242:0.229573:0.137312:0.229573:0.000000:0.000000:0.000000:0.000000
1,36 :@0.190085:0.246007:0.224047:0.246007:0.224047:0.229573:0.190085:0.229573:0.000000:0.000000:0.000000:0.000000:0.000000
1,36:@0.241865:0.246007:0.273783:0.246007:0.273783:0.229337:0.241865:0.229337:0.000000:0.000000:0.000000:0.000000
1,36:@0.294639:0.246007:0.326557:0.246007:0.326557:0.229337:0.294639:0.229337:0.000000:0.000000:0.000000:0.000000
1,36:@0.348406:0.246007:0.378336:0.246007:0.378336:0.229573:0.348406:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.401180:0.246007:0.431110:0.246007:0.431110:0.229573:0.401180:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.453953:0.246007:0.483884:0.246007:0.483884:0.229573:0.453953:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.506727:0.246007:0.536657:0.246007:0.536657:0.229573:0.506727:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.559501:0.246007:0.589431:0.246007:0.589431:0.229573:0.559501:0.229573:0.000000:0.000000:0.000000:0.000000
1,36:@0.612274:0.246007:0.642204:0.246007:0.642204:0.229573:0.612274:0.229573:0.000000:0.000000:0.000000:0.000000
1,37:@0.664201:0.246007:0.694131:0.246007:0.694131:0.229573:0.664201:0.229573:0.000000:0.000000:0.000000:0.000000
1,37:@0.084557:0.270706:0.114487:0.270706:0.114487:0.254272:0.084557:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.137330:0.270706:0.167260:0.270706:0.167260:0.254272:0.137330:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.190104:0.270706:0.220034:0.270706:0.220034:0.254272:0.190104:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.242877:0.270706:0.272808:0.270706:0.272808:0.254272:0.242877:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.295651:0.270706:0.325581:0.270706:0.325581:0.254272:0.295651:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.348425:0.270706:0.378355:0.270706:0.378355:0.254272:0.348425:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.401198:0.270706:0.431128:0.270706:0.431128:0.254272:0.401198:0.254272:0.000000:0.000000:0.000000:0.000000
1,37:@0.453972:0.270706:0.483902:0.270706:0.483902:0.254272:0.453972:0.254272:0.000000:0.000000:0.000000:0.000000
Observemos que, antes de los valores de las estaturas resaltadas (1,36 y 1,36), hay 15 :@0.073144:0.303754:0.710711:0.303754:0.710711:0.287320:0.073144:0.287320:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
registros y después de ellas también hay 15 datos.:@0.073144:0.320396:0.434287:0.320396:0.434287:0.303962:0.073144:0.303962:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para encontrar la mediana, se realiza un promedio de las dos medidas resaltadas.:@0.073144:0.351336:0.655680:0.351336:0.655680:0.334902:0.073144:0.334902:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,36 :@0.079397:0.380571:0.113284:0.380571:0.113284:0.364137:0.079397:0.364137:0.000000:0.000000:0.000000:0.000000:0.000000
1 :@0.113174:0.380016:0.133017:0.380016:0.133017:0.366301:0.113174:0.366301:0.000000:0.000000
1,36:@0.132925:0.380571:0.162855:0.380571:0.162855:0.364137:0.132925:0.364137:0.000000:0.000000:0.000000:0.000000
2:@0.116616:0.394550:0.125599:0.394550:0.125599:0.378116:0.116616:0.378116:0.000000
   1,36 :@0.169058:0.384898:0.226100:0.384894:0.226100:0.368460:0.169058:0.368464:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2:@0.173016:0.384343:0.188349:0.384343:0.188349:0.370628:0.173016:0.370628:0.000000
La estatura mediana es de 1,36 m.:@0.253822:0.384894:0.498951:0.384894:0.498951:0.368460:0.253822:0.368460:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Si los datos son impares, se toma aquel dato que se encuentra en la mitad.:@0.073089:0.419404:0.611475:0.419404:0.611475:0.402971:0.073089:0.402971:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Por ejemplo::@0.073089:0.450344:0.164216:0.450344:0.164216:0.433911:0.073089:0.433911:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
34  34 :@0.073089:0.481278:0.121887:0.481278:0.121887:0.464844:0.073089:0.464844:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
35:@0.126943:0.481278:0.145755:0.481278:0.145755:0.464608:0.126943:0.464608:0.000000:0.000000
  36  37 :@0.145672:0.481278:0.203582:0.481278:0.203582:0.464844:0.145672:0.464844:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
En este caso, el 35 está en la mitad de los datos y, por lo tanto, :@0.253815:0.481278:0.710777:0.481278:0.710777:0.464844:0.253815:0.464844:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.706341:0.481278:0.710372:0.481278:0.710372:0.464844:0.706341:0.464844:0.000000
es la mediana.:@0.253830:0.497920:0.356620:0.497920:0.356620:0.481486:0.253830:0.481486:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La mediana de un conjunto de números ordenados de menor a mayor es el valor :@0.084860:0.534002:0.698700:0.534002:0.698700:0.517569:0.084860:0.517569:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
central (si el conjunto tiene un número impar de datos) o la media de los dos valores :@0.084860:0.550644:0.699136:0.550644:0.699136:0.534210:0.084860:0.534210:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
centrales (si el conjunto tiene un número par de datos).:@0.084860:0.567286:0.485619:0.567286:0.485619:0.550852:0.084860:0.550852:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3.1.3 Moda:@0.073098:0.606783:0.156553:0.606783:0.156553:0.590113:0.073098:0.590113:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La moda de las estaturas de los estudiantes se puede verificar así: :@0.073098:0.637723:0.547718:0.637723:0.547718:0.621289:0.073098:0.621289:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,34 :@0.073089:0.668661:0.106977:0.668661:0.106977:0.652228:0.073089:0.652228:0.000000:0.000000:0.000000:0.000000:0.000000
4 estudiantes:@0.133336:0.668661:0.230176:0.668661:0.230176:0.652228:0.133336:0.652228:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,35  :@0.073089:0.699599:0.110934:0.699599:0.110934:0.683165:0.073089:0.683165:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
8 estudiantes:@0.133336:0.699599:0.230176:0.699599:0.230176:0.683165:0.133336:0.683165:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,36 :@0.073089:0.730535:0.106977:0.730535:0.106977:0.714101:0.073089:0.714101:0.000000:0.000000:0.000000:0.000000:0.000000
11 estudiantes:@0.133336:0.730535:0.239085:0.730535:0.239085:0.714101:0.133336:0.714101:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,37 :@0.073089:0.761472:0.106977:0.761472:0.106977:0.745039:0.073089:0.745039:0.000000:0.000000:0.000000:0.000000:0.000000
9 estudiantes :@0.133336:0.761472:0.234208:0.761472:0.234208:0.745039:0.133336:0.745039:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El registro de estatura que aparece más veces es 1,36 m. Por lo tanto, la estatura moda de :@0.073089:0.792408:0.710642:0.792408:0.710642:0.775975:0.073089:0.775975:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
los estudiantes de sexto grado es 1,36.:@0.073089:0.809050:0.350569:0.809050:0.350569:0.792617:0.073089:0.792617:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La moda de un conjunto de datos es el valor de la característica que más se repite en :@0.084860:0.845133:0.699097:0.845133:0.699097:0.828699:0.084860:0.828699:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una población o muestra. Es un dato del conjunto de datos.:@0.084860:0.861775:0.517182:0.861775:0.517182:0.845341:0.084860:0.845341:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de tendencia :@0.740294:0.186502:0.916227:0.186502:0.916227:0.171562:0.740294:0.171562:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
central tienen la siguiente :@0.740294:0.201631:0.914487:0.201631:0.914487:0.186691:0.740294:0.186691:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
simbología / abreviación::@0.740294:0.216760:0.906140:0.216760:0.906140:0.201820:0.740294:0.201820:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Media: :@0.740294:0.231889:0.787928:0.231889:0.787928:0.216949:0.740294:0.216949:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Mediana   Med:@0.740294:0.262147:0.849089:0.262147:0.849089:0.247207:0.740294:0.247207:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
5:@0.801404:0.261642:0.815343:0.261642:0.815343:0.249174:0.801404:0.249174:0.000000
Moda   Mo:@0.740292:0.292405:0.821786:0.292405:0.821786:0.277465:0.740292:0.277465:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
5:@0.782344:0.291900:0.796284:0.291900:0.796284:0.279432:0.782344:0.279432:0.000000
Competencia :@0.740294:0.145303:0.848854:0.145303:0.848854:0.128356:0.740294:0.128356:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática :@0.740294:0.161945:0.837769:0.161945:0.837769:0.144998:0.740294:0.144998:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los epidemiólogos Richard :@0.743130:0.433826:0.907484:0.433826:0.907484:0.420380:0.743130:0.420380:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Doll y Austin Bradford Hill :@0.743130:0.447442:0.897560:0.447442:0.897560:0.433996:0.743130:0.433996:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
demostraron, mediante :@0.743130:0.461058:0.886644:0.461058:0.886644:0.447612:0.743130:0.447612:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
estudios estadísticos, que :@0.743130:0.474674:0.897493:0.474674:0.897493:0.461228:0.743130:0.461228:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fumar es el principal factor de :@0.743130:0.488290:0.922544:0.488290:0.922544:0.474844:0.743130:0.474844:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
riesgo para desarrollar cáncer :@0.743130:0.501906:0.920360:0.501906:0.920360:0.488461:0.743130:0.488461:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
pulmonar. Este hallazgo :@0.743130:0.515522:0.887744:0.515522:0.887744:0.502077:0.743130:0.502077:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
resalta:@0.743130:0.529138:0.784107:0.529138:0.784107:0.515500:0.743130:0.515500:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 la importancia de la :@0.784019:0.529138:0.907765:0.529138:0.907765:0.515693:0.784019:0.515693:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
investigación y la educación :@0.743130:0.542755:0.913815:0.542755:0.913815:0.529309:0.743130:0.529309:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en la promoción de estilos :@0.743130:0.556371:0.903458:0.556371:0.903458:0.542925:0.743130:0.542925:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de vida saludables y en la :@0.743130:0.569987:0.897033:0.569987:0.897033:0.556541:0.743130:0.556541:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
prevención de enfermedades.:@0.743130:0.583603:0.920794:0.583603:0.920794:0.570157:0.743130:0.570157:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Es importante entender :@0.743130:0.597219:0.887708:0.597219:0.887708:0.583773:0.743130:0.583773:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cómo nuestras decisiones :@0.743130:0.610835:0.900390:0.610835:0.900390:0.597389:0.743130:0.597389:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
diarias afectan nuestra salud a :@0.743130:0.624451:0.924034:0.624451:0.924034:0.611005:0.743130:0.611005:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
largo plazo. Mantener hábitos :@0.743130:0.638067:0.922797:0.638067:0.922797:0.624621:0.743130:0.624621:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
saludables como una buena :@0.743130:0.651683:0.914488:0.651683:0.914488:0.638237:0.743130:0.638237:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
alimentación, ejercicio regular :@0.743130:0.665299:0.924250:0.665299:0.924250:0.651853:0.743130:0.651853:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y no fumar, puede prevenir :@0.743130:0.678915:0.907039:0.678915:0.907039:0.665469:0.743130:0.665469:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
enfermedades y fortalecer :@0.743130:0.692531:0.901934:0.692531:0.901934:0.679085:0.743130:0.679085:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
nuestro cuerpo.:@0.743130:0.706147:0.836746:0.706147:0.836746:0.692701:0.743130:0.692701:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Cátedra :@0.743130:0.386108:0.808667:0.386108:0.808667:0.369161:0.743130:0.369161:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de Salud y :@0.743130:0.398716:0.828207:0.398716:0.828207:0.381769:0.743130:0.381769:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
bienestar:@0.743130:0.411322:0.817587:0.411322:0.817587:0.394375:0.743130:0.394375:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Cómo crees que los :@0.740257:0.821133:0.866452:0.821133:0.866452:0.807687:0.740257:0.807687:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
científicos descubrieron que :@0.740257:0.834749:0.911966:0.834749:0.911966:0.821304:0.740257:0.821304:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fumar aumenta el riesgo de :@0.740257:0.848365:0.907648:0.848365:0.907648:0.834920:0.740257:0.834920:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cáncer de pulmón?:@0.740257:0.861981:0.855138:0.861981:0.855138:0.848536:0.740257:0.848536:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
DBA 11 (Ev. 3) Interpreta la información que se presenta en los gráficos usando las medidas de tendencia central y el rango.:@0.079641:0.971351:0.726297:0.971351:0.726297:0.959399:0.079641:0.959399:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
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