190:@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
3.1 Medidas de tendencia central:@0.293660:0.240389:0.553204:0.240389:0.553204:0.223442:0.293660:0.223442:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La tabla muestra datos recolectados mediante una encuesta aplicada a estudiantes de :@0.293660:0.271329:0.931287:0.271329:0.931287:0.254895:0.293660:0.254895:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sexto grado, sobre la talla que tiene cada uno.:@0.293660:0.287971:0.624727:0.287971:0.624727:0.271537:0.293660:0.271537:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,34:@0.346300:0.325487:0.376230:0.325487:0.376230:0.309053:0.346300:0.309053:0.000000:0.000000:0.000000:0.000000
1,35:@0.417444:0.325487:0.447374:0.325487:0.447374:0.309053:0.417444:0.309053:0.000000:0.000000:0.000000:0.000000
1,37:@0.488588:0.325487:0.518518:0.325487:0.518518:0.309053:0.488588:0.309053:0.000000:0.000000:0.000000:0.000000
1,36:@0.559732:0.325487:0.589662:0.325487:0.589662:0.309053:0.559732:0.309053:0.000000:0.000000:0.000000:0.000000
1,35:@0.630876:0.325487:0.660806:0.325487:0.660806:0.309053:0.630876:0.309053:0.000000:0.000000:0.000000:0.000000
1,35:@0.702020:0.325487:0.731950:0.325487:0.731950:0.309053:0.702020:0.309053:0.000000:0.000000:0.000000:0.000000
1,34:@0.773164:0.325487:0.803094:0.325487:0.803094:0.309053:0.773164:0.309053:0.000000:0.000000:0.000000:0.000000
1,36:@0.844308:0.325487:0.874238:0.325487:0.874238:0.309053:0.844308:0.309053:0.000000:0.000000:0.000000:0.000000
1,36:@0.346245:0.350505:0.376175:0.350505:0.376175:0.334071:0.346245:0.334071:0.000000:0.000000:0.000000:0.000000
1,36:@0.417389:0.350505:0.447319:0.350505:0.447319:0.334071:0.417389:0.334071:0.000000:0.000000:0.000000:0.000000
1,36:@0.488533:0.350505:0.518463:0.350505:0.518463:0.334071:0.488533:0.334071:0.000000:0.000000:0.000000:0.000000
1,34:@0.559677:0.350505:0.589607:0.350505:0.589607:0.334071:0.559677:0.334071:0.000000:0.000000:0.000000:0.000000
1,37:@0.630821:0.350505:0.660751:0.350505:0.660751:0.334071:0.630821:0.334071:0.000000:0.000000:0.000000:0.000000
1,37:@0.701965:0.350505:0.731895:0.350505:0.731895:0.334071:0.701965:0.334071:0.000000:0.000000:0.000000:0.000000
1,35:@0.773109:0.350505:0.803039:0.350505:0.803039:0.334071:0.773109:0.334071:0.000000:0.000000:0.000000:0.000000
1,37:@0.844253:0.350505:0.874183:0.350505:0.874183:0.334071:0.844253:0.334071:0.000000:0.000000:0.000000:0.000000
1,36:@0.346189:0.373734:0.376120:0.373734:0.376120:0.357300:0.346189:0.357300:0.000000:0.000000:0.000000:0.000000
1,35:@0.417333:0.373734:0.447264:0.373734:0.447264:0.357300:0.417333:0.357300:0.000000:0.000000:0.000000:0.000000
1,37:@0.488477:0.373734:0.518408:0.373734:0.518408:0.357300:0.488477:0.357300:0.000000:0.000000:0.000000:0.000000
1,35:@0.559622:0.373734:0.589552:0.373734:0.589552:0.357300:0.559622:0.357300:0.000000:0.000000:0.000000:0.000000
1,36:@0.630766:0.373734:0.660696:0.373734:0.660696:0.357300:0.630766:0.357300:0.000000:0.000000:0.000000:0.000000
1,37:@0.701910:0.373734:0.731840:0.373734:0.731840:0.357300:0.701910:0.357300:0.000000:0.000000:0.000000:0.000000
1,36:@0.773054:0.373734:0.802984:0.373734:0.802984:0.357300:0.773054:0.357300:0.000000:0.000000:0.000000:0.000000
1,37:@0.844198:0.373734:0.874128:0.373734:0.874128:0.357300:0.844198:0.357300:0.000000:0.000000:0.000000:0.000000
1,35:@0.346134:0.396963:0.376064:0.396963:0.376064:0.380529:0.346134:0.380529:0.000000:0.000000:0.000000:0.000000
1,34:@0.417278:0.396963:0.447208:0.396963:0.447208:0.380529:0.417278:0.380529:0.000000:0.000000:0.000000:0.000000
1,36:@0.488422:0.396963:0.518352:0.396963:0.518352:0.380529:0.488422:0.380529:0.000000:0.000000:0.000000:0.000000
1,36:@0.559566:0.396963:0.589496:0.396963:0.589496:0.380529:0.559566:0.380529:0.000000:0.000000:0.000000:0.000000
1,37:@0.630710:0.396963:0.660641:0.396963:0.660641:0.380529:0.630710:0.380529:0.000000:0.000000:0.000000:0.000000
1,35:@0.701854:0.396963:0.731785:0.396963:0.731785:0.380529:0.701854:0.380529:0.000000:0.000000:0.000000:0.000000
1,37:@0.772998:0.396963:0.802929:0.396963:0.802929:0.380529:0.772998:0.380529:0.000000:0.000000:0.000000:0.000000
1,36:@0.844142:0.396963:0.874073:0.396963:0.874073:0.380529:0.844142:0.380529:0.000000:0.000000:0.000000:0.000000
Encuentra::@0.293434:0.430635:0.370671:0.430635:0.370671:0.414201:0.293434:0.414201:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•:@0.293660:0.461564:0.298207:0.461564:0.298207:0.445130:0.293660:0.445130:0.000000
La estatura mediana.:@0.323861:0.461564:0.473862:0.461564:0.473862:0.445130:0.323861:0.445130:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
•:@0.293660:0.492500:0.298207:0.492500:0.298207:0.476066:0.293660:0.476066:0.000000
La estatura con mayor frecuencia, es decir, la estatura que más se repite.:@0.323861:0.492500:0.842657:0.492500:0.842657:0.476066:0.323861:0.476066:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3.1.1 Media aritmética o promedio:@0.293655:0.523440:0.553886:0.523440:0.553886:0.506770:0.293655:0.506770:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para calcular la media aritmética del conjunto de datos, realizamos los siguientes pasos::@0.293655:0.554380:0.924810:0.554380:0.924810:0.537946:0.293655:0.537946:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1. Adicionamos todas las estaturas.:@0.293660:0.585311:0.558589:0.585311:0.558589:0.568877:0.293660:0.568877:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,34   1,35   1,37   1,36   1,35   1,35   1,34   1,36   1,36   1,36   1,36   1,34 :@0.305431:0.621392:0.915844:0.621392:0.915844:0.604958:0.305431:0.604958:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.338924:0.620837:0.354257:0.620837:0.354257:0.607122:0.338924:0.607122:0.000000
1:@0.391329:0.620837:0.406662:0.620837:0.406662:0.607122:0.391329:0.607122:0.000000
1:@0.443734:0.620837:0.459068:0.620837:0.459068:0.607122:0.443734:0.607122:0.000000
1:@0.496140:0.620837:0.511473:0.620837:0.511473:0.607122:0.496140:0.607122:0.000000
1:@0.548545:0.620837:0.563879:0.620837:0.563879:0.607122:0.548545:0.607122:0.000000
1:@0.600951:0.620837:0.616284:0.620837:0.616284:0.607122:0.600951:0.607122:0.000000
1:@0.653356:0.620837:0.668690:0.620837:0.668690:0.607122:0.653356:0.607122:0.000000
1:@0.705762:0.620837:0.721095:0.620837:0.721095:0.607122:0.705762:0.607122:0.000000
1:@0.758167:0.620837:0.773500:0.620837:0.773500:0.607122:0.758167:0.607122:0.000000
1:@0.810573:0.620837:0.825906:0.620837:0.825906:0.607122:0.810573:0.607122:0.000000
1:@0.862978:0.620837:0.878311:0.620837:0.878311:0.607122:0.862978:0.607122:0.000000
1:@0.305496:0.637479:0.320829:0.637479:0.320829:0.623764:0.305496:0.623764:0.000000
 1,37   1,37   1,35   1,37   1,36   1,35   1,37   1,35   1,36   1,37   1,36   :@0.320737:0.638034:0.915899:0.638034:0.915899:0.621600:0.320737:0.621600:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.359227:0.637479:0.374560:0.637479:0.374560:0.623764:0.359227:0.623764:0.000000
1:@0.412958:0.637479:0.428291:0.637479:0.428291:0.623764:0.412958:0.623764:0.000000
1:@0.466688:0.637479:0.482022:0.637479:0.482022:0.623764:0.466688:0.623764:0.000000
1:@0.520419:0.637479:0.535752:0.637479:0.535752:0.623764:0.520419:0.623764:0.000000
1:@0.574150:0.637479:0.589483:0.637479:0.589483:0.623764:0.574150:0.623764:0.000000
1:@0.627881:0.637479:0.643214:0.637479:0.643214:0.623764:0.627881:0.623764:0.000000
1:@0.681611:0.637479:0.696945:0.637479:0.696945:0.623764:0.681611:0.623764:0.000000
1:@0.735342:0.637479:0.750675:0.637479:0.750675:0.623764:0.735342:0.623764:0.000000
1:@0.789073:0.637479:0.804406:0.637479:0.804406:0.623764:0.789073:0.623764:0.000000
1:@0.842804:0.637479:0.858137:0.637479:0.858137:0.623764:0.842804:0.623764:0.000000
1:@0.896534:0.637479:0.911868:0.637479:0.911868:0.623764:0.896534:0.623764:0.000000
1,37   1,35   1,34   1,36   1,36   1,37   1,35   1,37   1,36   43,45:@0.305570:0.654676:0.821194:0.654676:0.821194:0.638242:0.305570:0.638242:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1:@0.339347:0.654121:0.354680:0.654121:0.354680:0.640406:0.339347:0.640406:0.000000
1:@0.392323:0.654121:0.407656:0.654121:0.407656:0.640406:0.392323:0.640406:0.000000
1:@0.445299:0.654121:0.460632:0.654121:0.460632:0.640406:0.445299:0.640406:0.000000
1:@0.498275:0.654121:0.513608:0.654121:0.513608:0.640406:0.498275:0.640406:0.000000
1:@0.551251:0.654121:0.566584:0.654121:0.566584:0.640406:0.551251:0.640406:0.000000
1:@0.604227:0.654121:0.619561:0.654121:0.619561:0.640406:0.604227:0.640406:0.000000
1:@0.657203:0.654121:0.672537:0.654121:0.672537:0.640406:0.657203:0.640406:0.000000
1:@0.710179:0.654121:0.725513:0.654121:0.725513:0.640406:0.710179:0.640406:0.000000
5:@0.763156:0.654121:0.778489:0.654121:0.778489:0.640406:0.763156:0.640406:0.000000
2. Dividimos la suma obtenida entre el total de estudiantes encuestados; en este caso,:@0.293660:0.698127:0.927338:0.698127:0.927338:0.681694:0.293660:0.681694:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
32 estudiantes: 43,45   32 = 1,357 m.:@0.323788:0.714769:0.595884:0.714769:0.595884:0.698335:0.323788:0.698335:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4:@0.479127:0.714215:0.494460:0.714215:0.494460:0.700499:0.479127:0.700499:0.000000
El promedio de estatura entre los estudiantes de sexto grado es de 1,357 m.:@0.293674:0.745709:0.841626:0.745709:0.841626:0.729275:0.293674:0.729275:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La media aritmética o promedio de un conjunto de datos es el valor de la característica :@0.305431:0.781788:0.918933:0.781788:0.918933:0.765354:0.305431:0.765354:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que toma cada dato en estudio. Se calcula hallando el cociente entre la suma de los :@0.305431:0.798430:0.919707:0.798430:0.919707:0.781996:0.305431:0.781996:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos y el número total de datos::@0.305431:0.815072:0.543499:0.815072:0.543499:0.798638:0.305431:0.798638:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Tema 3. Medidas de tendencia central y medidas de dispersión:@0.073089:0.097892:0.904961:0.097892:0.904961:0.069775:0.073089:0.069775:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Con qué aportes se obtiene la nota del promedio de tu evaluación?:@0.293660:0.173424:0.789995:0.173424:0.789995:0.156990:0.293660:0.156990:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
¿Cómo crees que realizó ese cálculo tu profesora o profesor?:@0.293660:0.190066:0.730739:0.190066:0.730739:0.173632:0.293660:0.173632:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
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
Los datos no agrupados :@0.080953:0.287282:0.242799:0.287282:0.242799:0.272342:0.080953:0.272342:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
son el conjunto de datos :@0.080953:0.302411:0.248378:0.302411:0.248378:0.287471:0.080953:0.287471:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que no se clasifican y :@0.080953:0.317540:0.223793:0.317540:0.223793:0.302600:0.080953:0.302600:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
se presentan en una :@0.080953:0.332669:0.218466:0.332669:0.218466:0.317729:0.080953:0.317729:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
tabla de datos de forma :@0.080953:0.347798:0.241678:0.347798:0.241678:0.332858:0.080953:0.332858:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
individual.:@0.080953:0.362927:0.148266:0.362927:0.148266:0.347987:0.080953:0.347987:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La serie de datos: 3, 3, 3, 3, :@0.080953:0.378056:0.255793:0.378056:0.255793:0.363116:0.080953:0.363116:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1, 2, 1, 2, 1, 1, 4 muestra la :@0.080953:0.393185:0.252425:0.393185:0.252425:0.378245:0.080953:0.378245:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cantidad de veces que un :@0.080953:0.408314:0.254762:0.408314:0.254762:0.393374:0.080953:0.393374:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
grupo de estudiantes fue :@0.080953:0.423443:0.250604:0.423443:0.250604:0.408503:0.080953:0.408503:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
al cine durante un mes.:@0.080953:0.438572:0.234641:0.438572:0.234641:0.423632:0.080953:0.423632:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Determina:@0.080953:0.562730:0.154585:0.562730:0.154585:0.547576:0.080953:0.547576:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 la media :@0.154498:0.562730:0.218120:0.562730:0.218120:0.547790:0.154498:0.547790:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
aritmética.:@0.080953:0.577859:0.150057:0.577859:0.150057:0.562919:0.080953:0.562919:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia :@0.080953:0.246084:0.189513:0.246084:0.189513:0.229137:0.080953:0.229137:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática :@0.080953:0.262725:0.178428:0.262725:0.178428:0.245778:0.080953:0.245778:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
DBA 10 (Ev. 4) Calcula las medidas requeridas de acuerdo a los datos recolectados y usa, cuando sea posible, calculadoras o software.:@0.222894:0.971351:0.920256:0.971351:0.920256:0.959399:0.222894:0.959399:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
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