114:@0.054057:0.510692:0.082417:0.510692:0.082417:0.494068:0.054057:0.494068:0.000000:0.000000:0.000000
Tema:@0.047190:0.135475:0.083321:0.135475:0.083321:0.113749:0.047190:0.113749:0.000000:0.000000:0.000000:0.000000
1:@0.059451:0.122645:0.071060:0.122645:0.071060:0.065614:0.059451:0.065614:0.000000
Observa:@0.223875:0.186853:0.281939:0.186853:0.281939:0.171740:0.223875:0.171740:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 el video :@0.281939:0.186853:0.350355:0.186853:0.350355:0.171954:0.281939:0.171954:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
sobre las medidas :@0.223875:0.201940:0.350355:0.201940:0.350355:0.187041:0.223875:0.187041:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de dispersión::@0.223875:0.217028:0.316516:0.217028:0.316516:0.202129:0.223875:0.202129:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
TIC:@0.163487:0.167420:0.183456:0.167420:0.183456:0.145694:0.163487:0.145694:0.000000:0.000000:0.000000
mayedu.ec/ctm10/p114:@0.154646:0.263017:0.314311:0.263017:0.314311:0.247892:0.154646:0.247892:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Los datos agrupados son aquellos que pertenecen a una muestra :@0.376903:0.172786:0.883919:0.172786:0.883919:0.156397:0.376903:0.156397:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de tamaño superior a 20 elementos y que requieren, para su estu-:@0.376903:0.189382:0.879845:0.189382:0.879845:0.172993:0.376903:0.172993:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dio, ser agrupados en clases a partir de determinadas características; :@0.376903:0.205979:0.883993:0.205979:0.883993:0.189590:0.376903:0.189590:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.879904:0.205979:0.883939:0.205979:0.883939:0.189590:0.879904:0.189590:0.000000
por ejemplo, los datos sobre la salud de las personas, generalmente :@0.376903:0.222575:0.883882:0.222575:0.883882:0.206186:0.376903:0.206186:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
se dividen en clases según rangos de edades: recién nacidos, niños, :@0.376903:0.239171:0.883886:0.239171:0.883886:0.222782:0.376903:0.222782:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
adolescentes, adultos y adultos mayores.:@0.376903:0.255768:0.674356:0.255768:0.674356:0.239379:0.376903:0.239379:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Medidas de dispersión para datos agrupados:@0.115891:0.141978:0.772802:0.141978:0.772802:0.101242:0.115891:0.101242:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.4.3.7. Calcular e interpretar las medidas de dispersión, rango, varianza y desviación estándar de un conjunto de datos en la solución de problemas.:@0.125388:0.074999:0.814770:0.074999:0.814770:0.064570:0.125388:0.064570:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Actividad resuelta:@0.115891:0.657182:0.273013:0.657182:0.273013:0.638745:0.115891:0.638745:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La tabla muestra un resumen de los datos de resistencia de 5 categorías de materiales.:@0.115891:0.677029:0.727832:0.677029:0.727832:0.660640:0.115891:0.660640:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Clase:@0.279712:0.712720:0.317958:0.712720:0.317958:0.697356:0.279712:0.697356:0.000000:0.000000:0.000000:0.000000:0.000000
Frecuencia :@0.383544:0.705176:0.465228:0.705176:0.465228:0.689812:0.383544:0.689812:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
absoluta ( ):@0.379188:0.720264:0.466113:0.720264:0.466113:0.704900:0.379188:0.704900:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
f:@0.450670:0.720264:0.455830:0.720264:0.455830:0.704900:0.450670:0.704900:0.000000
1:@0.455835:0.723140:0.461070:0.723140:0.461070:0.714182:0.455835:0.714182:0.000000
Marca de clase:@0.493687:0.705176:0.599244:0.705176:0.599244:0.689812:0.493687:0.689812:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
( ):@0.534848:0.720264:0.558085:0.720264:0.558085:0.704900:0.534848:0.704900:0.000000:0.000000:0.000000
x:@0.539890:0.720264:0.547798:0.720264:0.547798:0.704900:0.539890:0.704900:0.000000
1:@0.547808:0.723140:0.553043:0.723140:0.553043:0.714182:0.547808:0.714182:0.000000
A [17,5; 22,5):@0.262623:0.741336:0.346435:0.741336:0.346435:0.726437:0.262623:0.726437:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.414484:0.741336:0.430834:0.741336:0.430834:0.726437:0.414484:0.726437:0.000000:0.000000
20:@0.538301:0.741336:0.554651:0.741336:0.554651:0.726437:0.538301:0.726437:0.000000:0.000000
B [22,5; 27,5):@0.262623:0.763527:0.345095:0.763527:0.345095:0.748628:0.262623:0.748628:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.414484:0.763527:0.430834:0.763527:0.430834:0.748628:0.414484:0.748628:0.000000:0.000000
25:@0.538301:0.763527:0.554651:0.763527:0.554651:0.748628:0.538301:0.748628:0.000000:0.000000
C [27,5; 32,5):@0.262623:0.785719:0.346184:0.785719:0.346184:0.770820:0.262623:0.770820:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.414484:0.785719:0.430834:0.785719:0.430834:0.770820:0.414484:0.770820:0.000000:0.000000
30:@0.538301:0.785719:0.554651:0.785719:0.554651:0.770820:0.538301:0.770820:0.000000:0.000000
D [32,5; 37,5):@0.262623:0.807910:0.347474:0.807910:0.347474:0.793011:0.262623:0.793011:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.414484:0.807910:0.430834:0.807910:0.430834:0.793011:0.414484:0.793011:0.000000:0.000000
35:@0.538301:0.807910:0.554651:0.807910:0.554651:0.793011:0.538301:0.793011:0.000000:0.000000
E [37,5; 42,5):@0.262623:0.830102:0.344442:0.830102:0.344442:0.815203:0.262623:0.815203:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
11:@0.414484:0.830102:0.430834:0.830102:0.430834:0.815203:0.414484:0.815203:0.000000:0.000000
40:@0.538301:0.830102:0.554651:0.830102:0.554651:0.815203:0.538301:0.815203:0.000000:0.000000
Para estos datos, aplicando las fórmulas correspondientes, :@0.115891:0.861733:0.538490:0.861733:0.538490:0.845344:0.115891:0.845344:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
obtenemos:@0.539172:0.861733:0.625763:0.861733:0.625763:0.845109:0.539172:0.845109:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 los siguientes :@0.625579:0.861733:0.732017:0.861733:0.732017:0.845344:0.625579:0.845344:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
valores::@0.115891:0.878329:0.170547:0.878329:0.170547:0.861940:0.115891:0.861940:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.115891:0.902048:0.124846:0.902048:0.124846:0.885687:0.115891:0.885687:0.000000
 = 42,5 – 17,5 = 25            = 29,87         :@0.124846:0.902048:0.406808:0.902054:0.406808:0.885665:0.124846:0.885659:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Χ:@0.297976:0.902732:0.311281:0.902732:0.314939:0.887159:0.301634:0.887159:0.000000
Dm:@0.406808:0.902054:0.433122:0.902054:0.433122:0.885693:0.406808:0.885693:0.000000:0.000000
 = 42,5         2 = 45,98           = 42,5:@0.433122:0.902054:0.679850:0.902054:0.679850:0.885665:0.433122:0.885665:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.514646:0.902054:0.522718:0.902054:0.522718:0.885693:0.514646:0.885693:0.000000
S:@0.622540:0.902054:0.630611:0.902054:0.630611:0.885693:0.622540:0.885693:0.000000
Media aritmética :@0.115891:0.295402:0.255222:0.295402:0.255222:0.278501:0.115891:0.278501:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de un conjunto de datos agru-:@0.256235:0.295402:0.485842:0.295402:0.485842:0.279013:0.256235:0.279013:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
pados se calcula con esta fórmula.:@0.115891:0.311998:0.365931:0.311998:0.365931:0.295609:0.115891:0.295609:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.270857:0.349134:0.290565:0.349134:0.290565:0.325775:0.270857:0.325775:0.000000
∑:@0.280908:0.426615:0.300617:0.426615:0.300617:0.403256:0.280908:0.403256:0.000000
∑:@0.271289:0.504100:0.290998:0.504100:0.290998:0.480740:0.271289:0.480740:0.000000
∑:@0.276513:0.584571:0.296222:0.584571:0.296222:0.561212:0.276513:0.561212:0.000000
=:@0.254785:0.362979:0.264901:0.362979:0.264901:0.347406:0.254785:0.347406:0.000000
−:@0.318231:0.344322:0.328348:0.344322:0.328348:0.328749:0.318231:0.328749:0.000000
=:@0.264836:0.440460:0.274953:0.440460:0.274953:0.424887:0.264836:0.424887:0.000000
−:@0.328282:0.421803:0.338399:0.421803:0.338399:0.406230:0.328282:0.406230:0.000000
=:@0.255198:0.517951:0.265315:0.517951:0.265315:0.502378:0.255198:0.502378:0.000000
−:@0.322257:0.499294:0.332373:0.499294:0.332373:0.483721:0.322257:0.483721:0.000000
=:@0.247920:0.598430:0.258036:0.598430:0.258036:0.582857:0.247920:0.582857:0.000000
−:@0.327490:0.579773:0.337607:0.579773:0.337607:0.564200:0.327490:0.564200:0.000000
=:@0.277454:0.355936:0.283317:0.355936:0.283317:0.346911:0.277454:0.346911:0.000000
=:@0.287505:0.433417:0.293369:0.433417:0.293369:0.424392:0.287505:0.424392:0.000000
=:@0.277873:0.510901:0.283736:0.510901:0.283736:0.501876:0.277873:0.501876:0.000000
=:@0.283105:0.591366:0.288969:0.591366:0.288969:0.582341:0.283105:0.582341:0.000000
X:@0.236881:0.363090:0.248141:0.363090:0.248141:0.344695:0.236881:0.344695:0.000000
X:@0.297398:0.344433:0.308657:0.344433:0.308657:0.326038:0.297398:0.326038:0.000000
X f:@0.333884:0.344433:0.361526:0.344433:0.361526:0.326038:0.333884:0.326038:0.000000:0.000000:0.000000
X:@0.307451:0.421907:0.318710:0.421907:0.318710:0.403513:0.307451:0.403513:0.000000
X f:@0.343938:0.421907:0.371579:0.421907:0.371579:0.403513:0.343938:0.403513:0.000000:0.000000:0.000000
X:@0.301443:0.499385:0.312703:0.499385:0.312703:0.480991:0.301443:0.480991:0.000000
X:@0.337930:0.499385:0.349189:0.499385:0.349189:0.480991:0.337930:0.480991:0.000000
f:@0.371708:0.499385:0.376831:0.499385:0.376831:0.480991:0.371708:0.480991:0.000000
X:@0.306695:0.579850:0.317955:0.579850:0.317955:0.561455:0.306695:0.561455:0.000000
X:@0.343182:0.579850:0.354441:0.579850:0.354441:0.561455:0.343182:0.561455:0.000000
f:@0.376960:0.579850:0.382083:0.579850:0.382083:0.561455:0.376960:0.561455:0.000000
(:@0.292727:0.499385:0.298864:0.499385:0.298864:0.481212:0.292727:0.481212:0.000000
):@0.352101:0.499385:0.358237:0.499385:0.358237:0.481212:0.352101:0.481212:0.000000
(:@0.297961:0.579850:0.304097:0.579850:0.304097:0.561677:0.297961:0.561677:0.000000
):@0.357334:0.579850:0.363471:0.579850:0.363471:0.561677:0.357334:0.561677:0.000000
i:@0.310173:0.347082:0.313142:0.347082:0.313142:0.336422:0.310173:0.336422:0.000000
i:@0.273948:0.356003:0.276917:0.356003:0.276917:0.345343:0.273948:0.345343:0.000000
n:@0.278238:0.327829:0.283578:0.327829:0.283578:0.317169:0.278238:0.317169:0.000000
i:@0.362209:0.347082:0.365178:0.347082:0.365178:0.336422:0.362209:0.336422:0.000000
i:@0.320225:0.424563:0.323194:0.424563:0.323194:0.413903:0.320225:0.413903:0.000000
i:@0.283999:0.433484:0.286968:0.433484:0.286968:0.422824:0.283999:0.422824:0.000000
n:@0.288292:0.405310:0.293632:0.405310:0.293632:0.394650:0.288292:0.394650:0.000000
i:@0.372267:0.424563:0.375235:0.424563:0.375235:0.413903:0.372267:0.413903:0.000000
i:@0.314212:0.502047:0.317181:0.502047:0.317181:0.491387:0.314212:0.491387:0.000000
i:@0.274377:0.510968:0.277346:0.510968:0.277346:0.500308:0.274377:0.500308:0.000000
n:@0.278670:0.482794:0.284010:0.482794:0.284010:0.472134:0.278670:0.472134:0.000000
i:@0.377510:0.502047:0.380479:0.502047:0.380479:0.491387:0.377510:0.491387:0.000000
i:@0.319456:0.582512:0.322425:0.582512:0.322425:0.571852:0.319456:0.571852:0.000000
i:@0.279620:0.591433:0.282589:0.591433:0.282589:0.580773:0.279620:0.580773:0.000000
n:@0.283914:0.563260:0.289254:0.563260:0.289254:0.552599:0.283914:0.552599:0.000000
i:@0.382754:0.582512:0.385723:0.582512:0.385723:0.571852:0.382754:0.571852:0.000000
1:@0.283160:0.356000:0.288500:0.356000:0.288500:0.345468:0.283160:0.345468:0.000000
1:@0.293211:0.433481:0.298551:0.433481:0.298551:0.422949:0.293211:0.422949:0.000000
2:@0.358646:0.491392:0.363985:0.491392:0.363985:0.480859:0.358646:0.480859:0.000000
1:@0.283578:0.510957:0.288918:0.510957:0.288918:0.500425:0.283578:0.500425:0.000000
2:@0.363889:0.571857:0.369229:0.571857:0.369229:0.561325:0.363889:0.561325:0.000000
1:@0.288822:0.591422:0.294162:0.591422:0.294162:0.580890:0.288822:0.580890:0.000000
2:@0.244117:0.509594:0.249329:0.509594:0.249329:0.500096:0.244117:0.500096:0.000000
n:@0.314519:0.372792:0.324027:0.372792:0.324027:0.356431:0.314519:0.356431:0.000000
Dm:@0.234630:0.439783:0.260779:0.439783:0.260779:0.423421:0.234630:0.423421:0.000000:0.000000
n:@0.324575:0.450280:0.334084:0.450280:0.334084:0.433918:0.324575:0.433918:0.000000
S:@0.234998:0.517274:0.243070:0.517274:0.243070:0.500912:0.234998:0.500912:0.000000
n:@0.322364:0.527771:0.331873:0.527771:0.331873:0.511410:0.322364:0.511410:0.000000
S:@0.234998:0.597752:0.243070:0.597752:0.243070:0.581391:0.234998:0.581391:0.000000
n:@0.327616:0.608250:0.337124:0.608250:0.337124:0.591888:0.327616:0.591888:0.000000
Rango o recorrido::@0.115891:0.402442:0.263089:0.402442:0.263089:0.385541:0.115891:0.385541:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 da una idea de la amplitud de :@0.263089:0.402442:0.489905:0.402442:0.489905:0.386053:0.263089:0.386053:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
los datos; por ejemplo: los salarios de los informá-:@0.115891:0.419038:0.485768:0.419038:0.485768:0.402649:0.115891:0.402649:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ticos  en  Edmonton,  en  diferentes  especialidades, :@0.115891:0.435635:0.489865:0.435635:0.489865:0.419246:0.115891:0.419246:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.485825:0.435635:0.489861:0.435635:0.489861:0.419246:0.485825:0.419246:0.000000
están entre 58 000 y 114 000 dólares anuales.:@0.115891:0.452231:0.437785:0.452231:0.437785:0.435842:0.115891:0.435842:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R = Límite superior – Límite inferior:@0.115891:0.475950:0.373045:0.475950:0.373045:0.459561:0.115891:0.459561:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.115891:0.493224:0.122027:0.493224:0.122027:0.477651:0.115891:0.477651:0.000000
R:@0.122027:0.492546:0.130983:0.492546:0.130983:0.476185:0.122027:0.476185:0.000000
1 = 56 000;   2 = 10 400:@0.130983:0.492546:0.305308:0.492546:0.305308:0.476157:0.130983:0.476157:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.219306:0.492546:0.228262:0.492546:0.228262:0.476185:0.219306:0.476185:0.000000
):@0.305308:0.493224:0.311445:0.493224:0.311445:0.477651:0.305308:0.477651:0.000000
R = 56 000 – 10 400 = 45 600:@0.115891:0.509143:0.327587:0.509143:0.327587:0.492754:0.115891:0.492754:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Desviación media: :@0.115891:0.536637:0.267458:0.536637:0.267458:0.519737:0.115891:0.519737:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
expresa la diferencia prome-:@0.269982:0.536637:0.485825:0.536637:0.485825:0.520249:0.269982:0.520249:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dio de cada valor de la variable respecto a la media.:@0.115891:0.553234:0.485879:0.553234:0.485879:0.536845:0.115891:0.536845:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.260129:0.512769:0.279837:0.512769:0.279837:0.489410:0.260129:0.489410:0.000000
∑:@0.270180:0.590251:0.289889:0.590251:0.289889:0.566891:0.270180:0.566891:0.000000
∑:@0.260548:0.667732:0.280256:0.667732:0.280256:0.644372:0.260548:0.644372:0.000000
∑:@0.265772:0.748203:0.285480:0.748203:0.285480:0.724844:0.265772:0.724844:0.000000
=:@0.244056:0.526614:0.254173:0.526614:0.254173:0.511041:0.244056:0.511041:0.000000
−:@0.307503:0.507957:0.317620:0.507957:0.317620:0.492384:0.307503:0.492384:0.000000
=:@0.254108:0.604097:0.264225:0.604097:0.264225:0.588524:0.254108:0.588524:0.000000
−:@0.317554:0.585440:0.327671:0.585440:0.327671:0.569867:0.317554:0.569867:0.000000
=:@0.244475:0.681577:0.254592:0.681577:0.254592:0.666004:0.244475:0.666004:0.000000
−:@0.311533:0.662919:0.321650:0.662919:0.321650:0.647347:0.311533:0.647347:0.000000
=:@0.237196:0.762055:0.247313:0.762055:0.247313:0.746482:0.237196:0.746482:0.000000
−:@0.316767:0.743398:0.326884:0.743398:0.326884:0.727825:0.316767:0.727825:0.000000
=:@0.266726:0.519572:0.272589:0.519572:0.272589:0.510547:0.266726:0.510547:0.000000
=:@0.276777:0.597053:0.282640:0.597053:0.282640:0.588028:0.276777:0.588028:0.000000
=:@0.267145:0.674535:0.273008:0.674535:0.273008:0.665509:0.267145:0.665509:0.000000
=:@0.272378:0.755000:0.278241:0.755000:0.278241:0.745975:0.272378:0.745975:0.000000
X:@0.226153:0.526725:0.237412:0.526725:0.237412:0.508331:0.226153:0.508331:0.000000
X:@0.286670:0.508068:0.297929:0.508068:0.297929:0.489673:0.286670:0.489673:0.000000
X f:@0.323156:0.508068:0.350798:0.508068:0.350798:0.489673:0.323156:0.489673:0.000000:0.000000:0.000000
X:@0.296723:0.585544:0.307982:0.585544:0.307982:0.567150:0.296723:0.567150:0.000000
X f:@0.333209:0.585544:0.360851:0.585544:0.360851:0.567150:0.333209:0.567150:0.000000:0.000000:0.000000
X:@0.290702:0.663025:0.301961:0.663025:0.301961:0.644631:0.290702:0.644631:0.000000
X:@0.327189:0.663025:0.338448:0.663025:0.338448:0.644631:0.327189:0.644631:0.000000
f:@0.360966:0.663025:0.366089:0.663025:0.366089:0.644631:0.360966:0.644631:0.000000
X:@0.295954:0.743490:0.307213:0.743490:0.307213:0.725096:0.295954:0.725096:0.000000
X:@0.332440:0.743490:0.343700:0.743490:0.343700:0.725096:0.332440:0.725096:0.000000
f:@0.366218:0.743490:0.371341:0.743490:0.371341:0.725096:0.366218:0.725096:0.000000
(:@0.281986:0.663025:0.288122:0.663025:0.288122:0.644852:0.281986:0.644852:0.000000
):@0.341359:0.663025:0.347496:0.663025:0.347496:0.644852:0.341359:0.644852:0.000000
(:@0.287219:0.743490:0.293355:0.743490:0.293355:0.725317:0.287219:0.725317:0.000000
):@0.346593:0.743490:0.352729:0.743490:0.352729:0.725317:0.346593:0.725317:0.000000
i:@0.299445:0.510717:0.302414:0.510717:0.302414:0.500057:0.299445:0.500057:0.000000
i:@0.263220:0.519638:0.266189:0.519638:0.266189:0.508978:0.263220:0.508978:0.000000
n:@0.267513:0.491464:0.272852:0.491464:0.272852:0.480804:0.267513:0.480804:0.000000
i:@0.351487:0.510717:0.354456:0.510717:0.354456:0.500057:0.351487:0.500057:0.000000
i:@0.309496:0.588198:0.312465:0.588198:0.312465:0.577538:0.309496:0.577538:0.000000
i:@0.273271:0.597119:0.276240:0.597119:0.276240:0.586459:0.273271:0.586459:0.000000
n:@0.277561:0.568945:0.282901:0.568945:0.282901:0.558285:0.277561:0.558285:0.000000
i:@0.361533:0.588198:0.364502:0.588198:0.364502:0.577538:0.361533:0.577538:0.000000
i:@0.303476:0.665679:0.306445:0.665679:0.306445:0.655019:0.303476:0.655019:0.000000
i:@0.263640:0.674600:0.266609:0.674600:0.266609:0.663940:0.263640:0.663940:0.000000
n:@0.267934:0.646427:0.273273:0.646427:0.273273:0.635766:0.267934:0.635766:0.000000
i:@0.366774:0.665679:0.369743:0.665679:0.369743:0.655019:0.366774:0.655019:0.000000
i:@0.308719:0.746145:0.311688:0.746145:0.311688:0.735485:0.308719:0.735485:0.000000
i:@0.268884:0.755066:0.271853:0.755066:0.271853:0.744406:0.268884:0.744406:0.000000
n:@0.273177:0.726892:0.278517:0.726892:0.278517:0.716232:0.273177:0.716232:0.000000
i:@0.372017:0.746145:0.374986:0.746145:0.374986:0.735485:0.372017:0.735485:0.000000
1:@0.272441:0.519633:0.277780:0.519633:0.277780:0.509101:0.272441:0.509101:0.000000
1:@0.282483:0.597118:0.287823:0.597118:0.287823:0.586585:0.282483:0.586585:0.000000
2:@0.347921:0.655031:0.353261:0.655031:0.353261:0.644499:0.347921:0.644499:0.000000
1:@0.272854:0.674597:0.278194:0.674597:0.278194:0.664065:0.272854:0.664065:0.000000
2:@0.353165:0.735497:0.358505:0.735497:0.358505:0.724965:0.353165:0.724965:0.000000
1:@0.278098:0.755062:0.283437:0.755062:0.283437:0.744530:0.278098:0.744530:0.000000
2:@0.233393:0.673234:0.238604:0.673234:0.238604:0.663736:0.233393:0.663736:0.000000
n:@0.303790:0.536427:0.313299:0.536427:0.313299:0.520066:0.303790:0.520066:0.000000
Dm:@0.223902:0.603419:0.250050:0.603419:0.250050:0.587058:0.223902:0.587058:0.000000:0.000000
n:@0.313842:0.613909:0.323351:0.613909:0.323351:0.597547:0.313842:0.597547:0.000000
S:@0.224265:0.680903:0.232336:0.680903:0.232336:0.664541:0.224265:0.664541:0.000000
n:@0.311631:0.691400:0.321139:0.691400:0.321139:0.675039:0.311631:0.675039:0.000000
S:@0.224265:0.761381:0.232336:0.761381:0.232336:0.745020:0.224265:0.745020:0.000000
n:@0.316882:0.771878:0.326391:0.771878:0.326391:0.755517:0.316882:0.755517:0.000000
Varianza: :@0.509279:0.295398:0.586011:0.295398:0.586011:0.278497:0.509279:0.278497:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la varianza representa la variabilidad de :@0.586933:0.295398:0.882623:0.295398:0.882623:0.279009:0.586933:0.279009:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
una serie de datos respecto a su media.:@0.509279:0.311994:0.797797:0.311994:0.797797:0.295605:0.509279:0.295605:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.653227:0.192310:0.672935:0.192310:0.672935:0.168950:0.653227:0.168950:0.000000
∑:@0.663289:0.269794:0.682997:0.269794:0.682997:0.246435:0.663289:0.246435:0.000000
∑:@0.653646:0.347272:0.673354:0.347272:0.673354:0.323913:0.653646:0.323913:0.000000
∑:@0.658881:0.427739:0.678589:0.427739:0.678589:0.404380:0.658881:0.404380:0.000000
=:@0.637155:0.206156:0.647272:0.206156:0.647272:0.190583:0.637155:0.190583:0.000000
−:@0.700601:0.187499:0.710718:0.187499:0.710718:0.171926:0.700601:0.171926:0.000000
=:@0.647198:0.283647:0.657315:0.283647:0.657315:0.268074:0.647198:0.268074:0.000000
−:@0.710644:0.264990:0.720761:0.264990:0.720761:0.249417:0.710644:0.249417:0.000000
=:@0.637574:0.361118:0.647690:0.361118:0.647690:0.345545:0.637574:0.345545:0.000000
−:@0.704632:0.342461:0.714749:0.342461:0.714749:0.326888:0.704632:0.326888:0.000000
=:@0.630296:0.441585:0.640413:0.441585:0.640413:0.426013:0.630296:0.426013:0.000000
−:@0.709867:0.422928:0.719984:0.422928:0.719984:0.407355:0.709867:0.407355:0.000000
=:@0.659822:0.199113:0.665686:0.199113:0.665686:0.190087:0.659822:0.190087:0.000000
=:@0.669872:0.276596:0.675735:0.276596:0.675735:0.267571:0.669872:0.267571:0.000000
=:@0.660241:0.354075:0.666104:0.354075:0.666104:0.345050:0.660241:0.345050:0.000000
=:@0.665476:0.434542:0.671340:0.434542:0.671340:0.425517:0.665476:0.425517:0.000000
X:@0.619250:0.206267:0.630509:0.206267:0.630509:0.187872:0.619250:0.187872:0.000000
X:@0.679766:0.187609:0.691025:0.187609:0.691025:0.169215:0.679766:0.169215:0.000000
X f:@0.716253:0.187609:0.743894:0.187609:0.743894:0.169215:0.716253:0.169215:0.000000:0.000000:0.000000
X:@0.689828:0.265087:0.701087:0.265087:0.701087:0.246693:0.689828:0.246693:0.000000
X f:@0.726314:0.265087:0.753956:0.265087:0.753956:0.246693:0.726314:0.246693:0.000000:0.000000:0.000000
X:@0.683800:0.342565:0.695059:0.342565:0.695059:0.324171:0.683800:0.324171:0.000000
X:@0.720287:0.342565:0.731546:0.342565:0.731546:0.324171:0.720287:0.324171:0.000000
f:@0.754065:0.342565:0.759188:0.342565:0.759188:0.324171:0.754065:0.324171:0.000000
X:@0.689035:0.423033:0.700295:0.423033:0.700295:0.404638:0.689035:0.404638:0.000000
X:@0.725522:0.423033:0.736781:0.423033:0.736781:0.404638:0.725522:0.404638:0.000000
f:@0.759300:0.423033:0.764423:0.423033:0.764423:0.404638:0.759300:0.404638:0.000000
(:@0.675067:0.342568:0.681204:0.342568:0.681204:0.324395:0.675067:0.324395:0.000000
):@0.734441:0.342568:0.740577:0.342568:0.740577:0.324395:0.734441:0.324395:0.000000
(:@0.680301:0.423033:0.686437:0.423033:0.686437:0.404860:0.680301:0.404860:0.000000
):@0.739674:0.423033:0.745811:0.423033:0.745811:0.404860:0.739674:0.404860:0.000000
i:@0.692542:0.190257:0.695510:0.190257:0.695510:0.179597:0.692542:0.179597:0.000000
i:@0.656316:0.199178:0.659285:0.199178:0.659285:0.188518:0.656316:0.188518:0.000000
n:@0.660609:0.171005:0.665949:0.171005:0.665949:0.160344:0.660609:0.160344:0.000000
i:@0.744584:0.190257:0.747552:0.190257:0.747552:0.179597:0.744584:0.179597:0.000000
i:@0.702602:0.267741:0.705571:0.267741:0.705571:0.257081:0.702602:0.257081:0.000000
i:@0.666376:0.276662:0.669345:0.276662:0.669345:0.266002:0.666376:0.266002:0.000000
n:@0.670670:0.248489:0.676009:0.248489:0.676009:0.237828:0.670670:0.237828:0.000000
i:@0.754644:0.267741:0.757613:0.267741:0.757613:0.257081:0.754644:0.257081:0.000000
i:@0.696574:0.345220:0.699543:0.345220:0.699543:0.334559:0.696574:0.334559:0.000000
i:@0.656739:0.354141:0.659708:0.354141:0.659708:0.343481:0.656739:0.343481:0.000000
ni:@0.661027:0.325968:0.669345:0.325270:0.669345:0.314609:0.661027:0.315308:0.000000:0.000000
i:@0.759866:0.345220:0.762835:0.345220:0.762835:0.334559:0.759866:0.334559:0.000000
i:@0.701809:0.425687:0.704778:0.425687:0.704778:0.415027:0.701809:0.415027:0.000000
i:@0.661974:0.434608:0.664943:0.434608:0.664943:0.423948:0.661974:0.423948:0.000000
n:@0.666267:0.406434:0.671607:0.406434:0.671607:0.395774:0.666267:0.395774:0.000000
i:@0.765107:0.425687:0.768076:0.425687:0.768076:0.415027:0.765107:0.415027:0.000000
1:@0.665530:0.199175:0.670870:0.199175:0.670870:0.188643:0.665530:0.188643:0.000000
1:@0.675580:0.276659:0.680920:0.276659:0.680920:0.266127:0.675580:0.266127:0.000000
2:@0.741020:0.334572:0.746359:0.334572:0.746359:0.324040:0.741020:0.324040:0.000000
1:@0.665952:0.354137:0.671292:0.354137:0.671292:0.343605:0.665952:0.343605:0.000000
2:@0.746255:0.415039:0.751595:0.415039:0.751595:0.404507:0.746255:0.404507:0.000000
1:@0.671187:0.434604:0.676527:0.434604:0.676527:0.424072:0.671187:0.424072:0.000000
2:@0.626475:0.352778:0.631687:0.352778:0.631687:0.343280:0.626475:0.343280:0.000000
n:@0.696887:0.215968:0.706396:0.215968:0.706396:0.199607:0.696887:0.199607:0.000000
Dm:@0.617003:0.282962:0.643152:0.282962:0.643152:0.266601:0.617003:0.266601:0.000000:0.000000
n:@0.706949:0.293459:0.716457:0.293459:0.716457:0.277098:0.706949:0.277098:0.000000
S:@0.617365:0.360441:0.625437:0.360441:0.625437:0.344079:0.617365:0.344079:0.000000
n:@0.704731:0.370938:0.714239:0.370938:0.714239:0.354576:0.704731:0.354576:0.000000
S:@0.617365:0.440908:0.625437:0.440908:0.625437:0.424547:0.617365:0.424547:0.000000
n:@0.709983:0.451405:0.719491:0.451405:0.719491:0.435044:0.709983:0.435044:0.000000
Desviación estándar: :@0.509279:0.399072:0.682333:0.399072:0.682333:0.382172:0.509279:0.382172:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Es  la  raíz  cuadrada  de  la :@0.686073:0.399072:0.882682:0.399072:0.882682:0.382683:0.686073:0.382683:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
varianza; aporta información similar a la varianza, :@0.509279:0.415669:0.882693:0.415669:0.882693:0.399280:0.509279:0.399280:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
pero con la misma magnitud que los datos: :@0.509279:0.432265:0.830872:0.432265:0.830872:0.415876:0.509279:0.415876:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.653227:0.240918:0.672935:0.240918:0.672935:0.217559:0.653227:0.217559:0.000000
∑:@0.663289:0.318403:0.682997:0.318403:0.682997:0.295043:0.663289:0.295043:0.000000
∑:@0.653669:0.395887:0.673378:0.395887:0.673378:0.372528:0.653669:0.372528:0.000000
∑:@0.658881:0.476347:0.678589:0.476347:0.678589:0.452987:0.658881:0.452987:0.000000
=:@0.637155:0.254763:0.647272:0.254763:0.647272:0.239190:0.637155:0.239190:0.000000
−:@0.700601:0.236106:0.710718:0.236106:0.710718:0.220533:0.700601:0.220533:0.000000
=:@0.647198:0.332254:0.657315:0.332254:0.657315:0.316681:0.647198:0.316681:0.000000
−:@0.710644:0.313597:0.720761:0.313597:0.720761:0.298024:0.710644:0.298024:0.000000
=:@0.637560:0.409746:0.647677:0.409746:0.647677:0.394173:0.637560:0.394173:0.000000
−:@0.704618:0.391089:0.714735:0.391089:0.714735:0.375516:0.704618:0.375516:0.000000
=:@0.630296:0.490193:0.640413:0.490193:0.640413:0.474620:0.630296:0.474620:0.000000
−:@0.709867:0.471536:0.719984:0.471536:0.719984:0.455963:0.709867:0.455963:0.000000
=:@0.659822:0.247720:0.665686:0.247720:0.665686:0.238695:0.659822:0.238695:0.000000
=:@0.669872:0.325204:0.675735:0.325204:0.675735:0.316179:0.669872:0.316179:0.000000
=:@0.660239:0.402688:0.666102:0.402688:0.666102:0.393662:0.660239:0.393662:0.000000
=:@0.665476:0.483149:0.671340:0.483149:0.671340:0.474124:0.665476:0.474124:0.000000
X:@0.619250:0.254874:0.630509:0.254874:0.630509:0.236479:0.619250:0.236479:0.000000
X:@0.679766:0.236217:0.691025:0.236217:0.691025:0.217822:0.679766:0.217822:0.000000
X f:@0.716253:0.236217:0.743894:0.236217:0.743894:0.217822:0.716253:0.217822:0.000000:0.000000:0.000000
X:@0.689828:0.313694:0.701087:0.313694:0.701087:0.295300:0.689828:0.295300:0.000000
X f:@0.726314:0.313694:0.753956:0.313694:0.753956:0.295300:0.726314:0.295300:0.000000:0.000000:0.000000
X:@0.683820:0.391171:0.695080:0.391171:0.695080:0.372777:0.683820:0.372777:0.000000
X:@0.720307:0.391171:0.731566:0.391171:0.731566:0.372777:0.720307:0.372777:0.000000
f:@0.754085:0.391171:0.759208:0.391171:0.759208:0.372777:0.754085:0.372777:0.000000
X:@0.689035:0.471640:0.700295:0.471640:0.700295:0.453246:0.689035:0.453246:0.000000
X:@0.725522:0.471640:0.736781:0.471640:0.736781:0.453246:0.725522:0.453246:0.000000
f:@0.759300:0.471640:0.764423:0.471640:0.764423:0.453246:0.759300:0.453246:0.000000
(:@0.675057:0.391173:0.681194:0.391173:0.681194:0.373000:0.675057:0.373000:0.000000
):@0.734431:0.391173:0.740567:0.391173:0.740567:0.373000:0.734431:0.373000:0.000000
(:@0.680291:0.471637:0.686427:0.471637:0.686427:0.453464:0.680291:0.453464:0.000000
):@0.739664:0.471637:0.745801:0.471637:0.745801:0.453464:0.739664:0.453464:0.000000
i:@0.692542:0.238865:0.695510:0.238865:0.695510:0.228204:0.692542:0.228204:0.000000
i:@0.656316:0.247786:0.659285:0.247786:0.659285:0.237125:0.656316:0.237125:0.000000
n:@0.660609:0.219612:0.665949:0.219612:0.665949:0.208952:0.660609:0.208952:0.000000
i:@0.744584:0.238865:0.747552:0.238865:0.747552:0.228204:0.744584:0.228204:0.000000
i:@0.702602:0.316348:0.705571:0.316348:0.705571:0.305688:0.702602:0.305688:0.000000
n:@0.670670:0.297096:0.676009:0.297096:0.676009:0.286435:0.670670:0.286435:0.000000
i:@0.754644:0.316348:0.757613:0.316348:0.757613:0.305688:0.754644:0.305688:0.000000
i:@0.696589:0.393832:0.699558:0.393832:0.699558:0.383172:0.696589:0.383172:0.000000
i:@0.656754:0.402753:0.659723:0.402753:0.659723:0.392093:0.656754:0.392093:0.000000
n:@0.661047:0.374580:0.666387:0.374580:0.666387:0.363919:0.661047:0.363919:0.000000
i:@0.759887:0.393832:0.762856:0.393832:0.762856:0.383172:0.759887:0.383172:0.000000
i:@0.701809:0.474294:0.704778:0.474294:0.704778:0.463634:0.701809:0.463634:0.000000
i:@0.661974:0.483215:0.664943:0.483215:0.664943:0.472555:0.661974:0.472555:0.000000
n:@0.666267:0.455042:0.671607:0.455042:0.671607:0.444381:0.666267:0.444381:0.000000
i:@0.765107:0.474294:0.768076:0.474294:0.768076:0.463634:0.765107:0.463634:0.000000
1:@0.665528:0.247784:0.670868:0.247784:0.670868:0.237252:0.665528:0.237252:0.000000
1:@0.675578:0.325268:0.680918:0.325268:0.680918:0.314736:0.675578:0.314736:0.000000
2:@0.741012:0.383178:0.746352:0.383178:0.746352:0.372646:0.741012:0.372646:0.000000
1:@0.665945:0.402744:0.671285:0.402744:0.671285:0.392212:0.665945:0.392212:0.000000
2:@0.746255:0.463646:0.751595:0.463646:0.751595:0.453114:0.746255:0.453114:0.000000
1:@0.671187:0.483212:0.676527:0.483212:0.676527:0.472680:0.671187:0.472680:0.000000
2:@0.626475:0.401386:0.631687:0.401386:0.631687:0.391887:0.626475:0.391887:0.000000
n:@0.696887:0.264576:0.706396:0.264576:0.706396:0.248215:0.696887:0.248215:0.000000
Dm:@0.617003:0.331570:0.643152:0.331570:0.643152:0.315209:0.617003:0.315209:0.000000:0.000000
n:@0.706949:0.342068:0.716457:0.342068:0.716457:0.325706:0.706949:0.325706:0.000000
S:@0.617372:0.409062:0.625443:0.409062:0.625443:0.392700:0.617372:0.392700:0.000000
n:@0.704737:0.419559:0.714246:0.419559:0.714246:0.403198:0.704737:0.403198:0.000000
S:@0.617365:0.489515:0.625437:0.489515:0.625437:0.473154:0.617365:0.473154:0.000000
n:@0.709983:0.500012:0.719491:0.500012:0.719491:0.483651:0.709983:0.483651:0.000000
Nota: :@0.509279:0.530768:0.556122:0.530768:0.556122:0.513868:0.509279:0.513868:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La media de una muestra se denota por   :@0.557485:0.530768:0.882668:0.530768:0.882668:0.514379:0.557485:0.514379:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Χ:@0.864353:0.531446:0.877657:0.531446:0.881316:0.515873:0.868011:0.515873:0.000000
 :@0.878632:0.530768:0.882668:0.530768:0.882668:0.514379:0.878632:0.514379:0.000000
y la media de una población por  . La varianza  :@0.509287:0.547365:0.882668:0.547365:0.882668:0.530976:0.509287:0.530976:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
μ:@0.773466:0.548042:0.784080:0.548042:0.784080:0.532469:0.773466:0.532469:0.000000
y desviación estándar de una muestra se denotan :@0.509287:0.563961:0.882631:0.563961:0.882631:0.547572:0.509287:0.547572:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
por  2 y  , mientras que la varianza y desviación :@0.509287:0.580557:0.882666:0.580557:0.882666:0.564169:0.509287:0.564169:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
S:@0.541333:0.580557:0.549404:0.580557:0.549404:0.564196:0.541333:0.564196:0.000000
S:@0.576050:0.580557:0.584122:0.580557:0.584122:0.564196:0.576050:0.564196:0.000000
estándar de una población se denotan por  2 y   :@0.509287:0.597154:0.882732:0.597154:0.882732:0.580765:0.509287:0.580765:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
σ:@0.833033:0.597832:0.844145:0.597832:0.844145:0.582259:0.833033:0.582259:0.000000
σ:@0.867585:0.597832:0.878697:0.597832:0.878697:0.582259:0.867585:0.582259:0.000000
respectivamente. :@0.509287:0.613750:0.639587:0.613750:0.639587:0.597361:0.509287:0.597361:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, (2021). 428092249:@0.895107:0.914761:0.895107:0.803164:0.881210:0.803164:0.881210:0.914761:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000