32:@0.035388:0.963884:0.056737:0.963884:0.056737:0.945447:0.035388:0.945447:0.000000:0.000000
Responde:@0.311726:0.170828:0.391389:0.170828:0.391389:0.153928:0.311726:0.153928:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
. En la distribución de datos no agrupados 4, 5, 6, 8,  , ¿qué valor debe :@0.391389:0.170828:0.901245:0.170828:0.901245:0.155158:0.391389:0.155158:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
m:@0.759720:0.170828:0.774352:0.170828:0.774352:0.154467:0.759720:0.154467:0.000000
tener   para que la media aritmética sea 6?:@0.311726:0.187425:0.630836:0.187425:0.630836:0.171755:0.311726:0.171755:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
m:@0.354533:0.187425:0.369165:0.187425:0.369165:0.171063:0.354533:0.171063:0.000000
Saberes previos:@0.345419:0.144199:0.470927:0.144199:0.470927:0.127298:0.345419:0.127298:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Medidas de dispersión  :@0.305303:0.070161:0.644908:0.070161:0.644908:0.039433:0.305303:0.039433:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para datos agrupados:@0.305303:0.099079:0.621183:0.099079:0.621183:0.068351:0.305303:0.068351:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Tema 6:@0.124729:0.083964:0.219414:0.083964:0.219414:0.055923:0.124729:0.055923:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La media aritmética :@0.106213:0.508363:0.241336:0.508363:0.241336:0.494118:0.106213:0.494118:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para datos agrupados :@0.106213:0.523451:0.255124:0.523451:0.255124:0.509206:0.106213:0.509206:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
se calcula así::@0.106213:0.538538:0.194348:0.538538:0.194348:0.524293:0.106213:0.524293:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  :@0.106213:0.604761:0.113551:0.604761:0.113551:0.590515:0.106213:0.590515:0.000000:0.000000
∑:@0.144542:0.578076:0.164251:0.578076:0.164251:0.554717:0.144542:0.554717:0.000000
=:@0.129517:0.591922:0.139634:0.591922:0.139634:0.576349:0.129517:0.576349:0.000000
=:@0.151349:0.584879:0.157212:0.584879:0.157212:0.575854:0.151349:0.575854:0.000000
x:@0.117634:0.591245:0.125097:0.591245:0.125097:0.574883:0.117634:0.574883:0.000000
xf:@0.166891:0.572587:0.182997:0.572587:0.182997:0.556226:0.166891:0.556226:0.000000:0.000000
n:@0.161452:0.601734:0.170961:0.601734:0.170961:0.585373:0.161452:0.585373:0.000000
.:@0.189512:0.591245:0.192719:0.591245:0.192719:0.575575:0.189512:0.575575:0.000000
ii:@0.175063:0.574585:0.184803:0.574585:0.184803:0.565103:0.175063:0.565103:0.000000:0.000000
i:@0.148097:0.584484:0.150297:0.584484:0.150297:0.575002:0.148097:0.575002:0.000000
n:@0.151814:0.556310:0.157324:0.556310:0.157324:0.546828:0.151814:0.546828:0.000000
1:@0.157047:0.584484:0.162259:0.584484:0.162259:0.575403:0.157047:0.575403:0.000000
El rango o recorrido :@0.106213:0.626976:0.241621:0.626976:0.241621:0.612731:0.106213:0.612731:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
es la diferencia entre :@0.106213:0.642063:0.246898:0.642063:0.246898:0.627818:0.106213:0.627818:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el límite superior del :@0.106213:0.657151:0.245757:0.657151:0.245757:0.642906:0.106213:0.642906:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
intervalo mayor y :@0.106213:0.672239:0.225690:0.672239:0.225690:0.657993:0.106213:0.657993:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
el límite inferior del :@0.106213:0.687326:0.237986:0.687326:0.237986:0.673081:0.106213:0.673081:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
intervalo menor.:@0.106213:0.702414:0.215487:0.702414:0.215487:0.688169:0.106213:0.688169:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Recuerda que...:@0.136265:0.483338:0.258346:0.483338:0.258346:0.466437:0.136265:0.466437:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.109662:0.798299:0.117125:0.798299:0.117125:0.782906:0.109662:0.782906:0.000000
::@0.120755:0.798299:0.123962:0.798299:0.123962:0.782630:0.120755:0.782630:0.000000
 media aritmética:@0.127334:0.797676:0.243678:0.797676:0.243678:0.783431:0.127334:0.783431:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Σ:@0.105557:0.824172:0.118965:0.824172:0.118965:0.804966:0.105557:0.804966:0.000000
: sumatoria:@0.118965:0.822910:0.192171:0.822910:0.192171:0.808665:0.118965:0.808665:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.106966:0.846697:0.114429:0.846697:0.114429:0.830335:0.106966:0.830335:0.000000
::@0.122150:0.846697:0.125356:0.846697:0.125356:0.831027:0.122150:0.831027:0.000000
i:@0.115132:0.848701:0.117332:0.848701:0.117332:0.839218:0.115132:0.839218:0.000000
 marca de clase:@0.127225:0.846382:0.229633:0.846382:0.229633:0.832137:0.127225:0.832137:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
f:@0.108174:0.870169:0.112873:0.870169:0.112873:0.853808:0.108174:0.853808:0.000000
::@0.119489:0.870169:0.122695:0.870169:0.122695:0.854499:0.119489:0.854499:0.000000
i:@0.112467:0.872173:0.114667:0.872173:0.114667:0.862691:0.112467:0.862691:0.000000
 frecuencia absoluta:@0.125659:0.871112:0.259561:0.871112:0.259561:0.856867:0.125659:0.856867:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.105556:0.893329:0.114200:0.893329:0.114200:0.878455:0.105556:0.878455:0.000000
: número de datos:@0.114200:0.893329:0.235704:0.893329:0.235704:0.879083:0.114200:0.879083:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Simbología matemática:@0.100884:0.766250:0.267801:0.766250:0.267801:0.749349:0.100884:0.749349:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Antes de pagar los servicios :@0.096359:0.383288:0.265612:0.383288:0.265612:0.370468:0.096359:0.370468:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de agua, luz y teléfono, :@0.096359:0.395860:0.237403:0.395860:0.237403:0.383039:0.096359:0.383039:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
haz primero una lectura :@0.096359:0.408432:0.242847:0.408432:0.242847:0.395611:0.096359:0.395611:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática de la planilla.:@0.096359:0.421003:0.248925:0.421003:0.248925:0.408183:0.096359:0.408183:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, 295406468.:@0.091449:0.362682:0.091449:0.287403:0.080061:0.287403:0.080061:0.362682:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Costo de consumo de agua potable:@0.474258:0.441621:0.734572:0.441621:0.734572:0.426043:0.474258:0.426043:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
intervalo:@0.312363:0.459965:0.371130:0.459965:0.371130:0.445719:0.312363:0.445719:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
F:@0.524213:0.459965:0.531534:0.459965:0.531534:0.445091:0.524213:0.445091:0.000000
i:@0.531534:0.459965:0.535036:0.459965:0.535036:0.445719:0.531534:0.445719:0.000000
x:@0.674801:0.459965:0.681586:0.459965:0.681586:0.445091:0.674801:0.445091:0.000000
i:@0.681579:0.462836:0.683620:0.462836:0.683620:0.454531:0.681579:0.454531:0.000000
xf:@0.821222:0.459960:0.834320:0.459960:0.834320:0.445086:0.821222:0.445086:0.000000:0.000000
i i:@0.828006:0.462836:0.836362:0.462836:0.836362:0.454531:0.828006:0.454531:0.000000:0.000000:0.000000
[30 – 40):@0.312369:0.476518:0.369663:0.476518:0.369663:0.462273:0.312369:0.462273:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.521456:0.476518:0.537806:0.476518:0.537806:0.462273:0.521456:0.462273:0.000000:0.000000
35:@0.671038:0.476518:0.687389:0.476518:0.687389:0.462273:0.671038:0.462273:0.000000:0.000000
350:@0.816533:0.476518:0.841058:0.476518:0.841058:0.462273:0.816533:0.462273:0.000000:0.000000:0.000000
[40 – 50):@0.312369:0.493077:0.369663:0.493077:0.369663:0.478832:0.312369:0.478832:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.521456:0.493077:0.537806:0.493077:0.537806:0.478832:0.521456:0.478832:0.000000:0.000000
45:@0.671038:0.493077:0.687389:0.493077:0.687389:0.478832:0.671038:0.478832:0.000000:0.000000
630:@0.816533:0.493077:0.841058:0.493077:0.841058:0.478832:0.816533:0.478832:0.000000:0.000000:0.000000
[50 – 60):@0.312369:0.509636:0.368322:0.509636:0.368322:0.495390:0.312369:0.495390:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.521540:0.509636:0.537723:0.509636:0.537723:0.495390:0.521540:0.495390:0.000000:0.000000
55:@0.671122:0.509636:0.687305:0.509636:0.687305:0.495390:0.671122:0.495390:0.000000:0.000000
825:@0.816700:0.509636:0.840891:0.509636:0.840891:0.495390:0.816700:0.495390:0.000000:0.000000:0.000000
[60 – 70):@0.312369:0.526194:0.368322:0.526194:0.368322:0.511949:0.312369:0.511949:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.521540:0.526194:0.537723:0.526194:0.537723:0.511949:0.521540:0.511949:0.000000:0.000000
65:@0.671122:0.526194:0.687305:0.526194:0.687305:0.511949:0.671122:0.511949:0.000000:0.000000
1 300:@0.810954:0.526194:0.846654:0.526194:0.846654:0.511949:0.810954:0.511949:0.000000:0.000000:0.000000:0.000000:0.000000
[70 – 80):@0.312386:0.542753:0.368339:0.542753:0.368339:0.528508:0.312386:0.528508:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
11:@0.521557:0.542753:0.537739:0.542753:0.537739:0.528508:0.521557:0.528508:0.000000:0.000000
75:@0.671139:0.542753:0.687322:0.542753:0.687322:0.528508:0.671139:0.528508:0.000000:0.000000
825:@0.816717:0.542753:0.840908:0.542753:0.840908:0.528508:0.816717:0.528508:0.000000:0.000000:0.000000
Total:@0.312386:0.560255:0.343646:0.560255:0.343646:0.546009:0.312386:0.546009:0.000000:0.000000:0.000000:0.000000:0.000000
70:@0.521557:0.560255:0.537739:0.560255:0.537739:0.546009:0.521557:0.546009:0.000000:0.000000
3 930:@0.810971:0.560255:0.846670:0.560255:0.846670:0.546009:0.810971:0.546009:0.000000:0.000000:0.000000:0.000000:0.000000
Costo de consumo de agua potable:@0.474035:0.791344:0.734349:0.791344:0.734349:0.775766:0.474035:0.775766:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
intervalo:@0.312374:0.822362:0.371142:0.822362:0.371142:0.808116:0.312374:0.808116:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
f:@0.465542:0.822362:0.469813:0.822362:0.469813:0.807488:0.465542:0.807488:0.000000
i:@0.469813:0.822362:0.473315:0.822362:0.473315:0.808116:0.469813:0.808116:0.000000
x:@0.550242:0.822362:0.557026:0.822362:0.557026:0.807488:0.550242:0.807488:0.000000
i:@0.557016:0.825240:0.559058:0.825240:0.559058:0.816935:0.557016:0.816935:0.000000
−:@0.647687:0.826600:0.657804:0.826600:0.657804:0.811027:0.647687:0.811027:0.000000
x:@0.632245:0.825922:0.639708:0.825922:0.639708:0.809561:0.632245:0.809561:0.000000
x:@0.662042:0.825922:0.669505:0.825922:0.669505:0.809561:0.662042:0.809561:0.000000
i:@0.640411:0.827926:0.642611:0.827926:0.642611:0.818444:0.640411:0.818444:0.000000
  :@0.677213:0.834356:0.681296:0.834356:0.681296:0.826051:0.677213:0.826051:0.000000:0.000000
−:@0.838376:0.822413:0.848493:0.822413:0.848493:0.806840:0.838376:0.806840:0.000000
x:@0.822934:0.821735:0.830397:0.821735:0.830397:0.805374:0.822934:0.805374:0.000000
x f:@0.852731:0.821735:0.870246:0.821735:0.870246:0.805374:0.852731:0.805374:0.000000:0.000000:0.000000
i:@0.831101:0.823739:0.833301:0.823739:0.833301:0.814257:0.831101:0.814257:0.000000
i:@0.869846:0.823739:0.872046:0.823739:0.872046:0.814257:0.869846:0.814257:0.000000
[30 – 40):@0.312369:0.848037:0.369663:0.848037:0.369663:0.833792:0.312369:0.833792:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.461248:0.848037:0.477598:0.848037:0.477598:0.833792:0.461248:0.833792:0.000000:0.000000
35:@0.546551:0.848037:0.562734:0.848037:0.562734:0.833792:0.546551:0.833792:0.000000:0.000000
|35 – 56,14|= 21,14:@0.625287:0.848037:0.746323:0.848037:0.746323:0.833792:0.625287:0.833792:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
211,4:@0.819984:0.848037:0.855599:0.848037:0.855599:0.833792:0.819984:0.833792:0.000000:0.000000:0.000000:0.000000:0.000000
[40 – 50):@0.312369:0.864596:0.368322:0.864596:0.368322:0.850350:0.312369:0.850350:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.461332:0.864596:0.477515:0.864596:0.477515:0.850350:0.461332:0.850350:0.000000:0.000000
45:@0.546551:0.864596:0.562734:0.864596:0.562734:0.850350:0.546551:0.850350:0.000000:0.000000
|45 – 56,14|= 11,14:@0.625287:0.864596:0.746323:0.864596:0.746323:0.850350:0.625287:0.850350:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
155,96:@0.819984:0.864596:0.862937:0.864596:0.862937:0.850350:0.819984:0.850350:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
[50 – 60):@0.312369:0.881154:0.368322:0.881154:0.368322:0.866909:0.312369:0.866909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.461332:0.881154:0.477515:0.881154:0.477515:0.866909:0.461332:0.866909:0.000000:0.000000
55:@0.546551:0.881154:0.562734:0.881154:0.562734:0.866909:0.546551:0.866909:0.000000:0.000000
|55 – 56,14|= 1,14:@0.625287:0.881154:0.738316:0.881154:0.738316:0.866909:0.625287:0.866909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
  17,1:@0.819984:0.881154:0.853924:0.881154:0.853924:0.866909:0.819984:0.866909:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
[60 – 70):@0.312369:0.897713:0.368322:0.897713:0.368322:0.883468:0.312369:0.883468:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.461332:0.897713:0.477515:0.897713:0.477515:0.883468:0.461332:0.883468:0.000000:0.000000
65:@0.546551:0.897713:0.562734:0.897713:0.562734:0.883468:0.546551:0.883468:0.000000:0.000000
|65 – 56,14|= 8,86:@0.625287:0.897713:0.738316:0.897713:0.738316:0.883468:0.625287:0.883468:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
177,2:@0.819984:0.897713:0.854929:0.897713:0.854929:0.883468:0.819984:0.883468:0.000000:0.000000:0.000000:0.000000:0.000000
[70 – 80):@0.312369:0.914272:0.368322:0.914272:0.368322:0.900026:0.312369:0.900026:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
11:@0.461332:0.914272:0.477515:0.914272:0.477515:0.900026:0.461332:0.900026:0.000000:0.000000
75:@0.546551:0.914272:0.562734:0.914272:0.562734:0.900026:0.546551:0.900026:0.000000:0.000000
|75 – 56,14|= 18,86:@0.625287:0.914272:0.746323:0.914272:0.746323:0.900026:0.625287:0.900026:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
207,46:@0.819984:0.914272:0.862937:0.914272:0.862937:0.900026:0.819984:0.900026:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Total:@0.312369:0.932083:0.350846:0.932083:0.350846:0.915182:0.312369:0.915182:0.000000:0.000000:0.000000:0.000000:0.000000
70:@0.461328:0.931297:0.477511:0.931297:0.477511:0.917052:0.461328:0.917052:0.000000:0.000000
769,12:@0.819980:0.931297:0.862934:0.931297:0.862934:0.917052:0.819980:0.917052:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de dispersión son números que indican el grado de separación de :@0.319826:0.225052:0.891818:0.225052:0.891818:0.209382:0.319826:0.209382:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
los valores de una serie estadística con respecto a las medidas de tendencia central. :@0.316472:0.241648:0.895065:0.241648:0.895065:0.225978:0.316472:0.225978:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de dispersión más conocidas son: el rango, la varianza, la desvia-:@0.316472:0.265367:0.891081:0.265367:0.891081:0.249697:0.316472:0.249697:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ción típica y el coeficiente de variación .:@0.318149:0.281964:0.608933:0.281964:0.608933:0.266294:0.318149:0.266294:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Se encuestó a un grupo de familias sobre el valor que pagan por el consumo de :@0.305303:0.314079:0.907649:0.314079:0.907649:0.298409:0.305303:0.298409:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
agua potable y los resultados fueron los siguientes: 10 personas pagan entre $ 30  :@0.305303:0.330675:0.907684:0.330675:0.907684:0.315005:0.305303:0.315005:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y $ 40; 14 personas pagan entre $ 40 y $ 50; 15 personas pagan entre $ 50 y $ 60; :@0.305303:0.347272:0.907721:0.347272:0.907721:0.331602:0.305303:0.331602:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.903649:0.347272:0.907684:0.347272:0.907684:0.331602:0.903649:0.331602:0.000000
20 personas pagan entre $ 60 y $ 70; y 11 personas pagan entre $ 70 y $ 80. ¿Qué tan :@0.305303:0.363868:0.907703:0.363868:0.907703:0.348198:0.305303:0.348198:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dispersos están los valores con respecto al promedio de pago de consumo de agua?:@0.305303:0.380464:0.903647:0.380464:0.903647:0.364795:0.305303:0.364795:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Organizamos la información en una tabla de frecuencias de datos agrupados  :@0.305303:0.404183:0.907684:0.404183:0.907684:0.388514:0.305303:0.388514:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y calculamos la media aritmética.:@0.305303:0.420780:0.547476:0.420780:0.547476:0.405110:0.305303:0.405110:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Media aritmética:@0.305303:0.587266:0.482092:0.587266:0.482092:0.565457:0.305303:0.565457:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La media aritmética es:  :@0.305303:0.637708:0.481027:0.637708:0.481027:0.622038:0.305303:0.622038:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.512016:0.624541:0.531724:0.624541:0.531724:0.601182:0.512016:0.601182:0.000000
=:@0.496993:0.638386:0.507109:0.638386:0.507109:0.622813:0.496993:0.622813:0.000000
=:@0.559352:0.638386:0.569468:0.638386:0.569468:0.622813:0.559352:0.622813:0.000000
=:@0.614303:0.638386:0.624420:0.638386:0.624420:0.622813:0.614303:0.622813:0.000000
=:@0.518823:0.631344:0.524686:0.631344:0.524686:0.622319:0.518823:0.622319:0.000000
x:@0.485108:0.637708:0.492572:0.637708:0.492572:0.621347:0.485108:0.621347:0.000000
xf:@0.534365:0.619051:0.550471:0.619051:0.550471:0.602690:0.534365:0.602690:0.000000:0.000000
n:@0.528929:0.648205:0.538438:0.648205:0.538438:0.631844:0.528929:0.631844:0.000000
3930:@0.574206:0.628760:0.609569:0.628760:0.609569:0.613090:0.574206:0.613090:0.000000:0.000000:0.000000:0.000000
70:@0.582793:0.648205:0.600576:0.648205:0.600576:0.632536:0.582793:0.632536:0.000000:0.000000
56,14.:@0.627720:0.637708:0.670232:0.637708:0.670232:0.622038:0.627720:0.622038:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ii:@0.542537:0.621050:0.552277:0.621050:0.552277:0.611568:0.542537:0.611568:0.000000:0.000000
i:@0.515571:0.630949:0.517771:0.630949:0.517771:0.621467:0.515571:0.621467:0.000000
n:@0.519288:0.602775:0.524798:0.602775:0.524798:0.593293:0.519288:0.593293:0.000000
1:@0.524521:0.630949:0.529732:0.630949:0.529732:0.621867:0.524521:0.621867:0.000000
Vamos a determinar las medidas de dispersión, rango, desviación media, varianza :@0.305303:0.661433:0.907660:0.661433:0.907660:0.645764:0.305303:0.645764:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y desviación típica o estándar. :@0.305303:0.678030:0.527629:0.678030:0.527629:0.662360:0.305303:0.662360:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Rango o recorrido:@0.305303:0.707223:0.492529:0.707223:0.492529:0.685414:0.305303:0.685414:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.413703:0.730004:0.422659:0.730004:0.422659:0.713643:0.413703:0.713643:0.000000
 = Límite superior – límite inferior;   = 80 – 30 = 50.:@0.422659:0.730004:0.795242:0.730004:0.795242:0.714334:0.422659:0.714334:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
R:@0.673730:0.730004:0.682686:0.730004:0.682686:0.713643:0.673730:0.713643:0.000000
Para determinar la desviación media, la varianza y la desviación típica o estándar, :@0.305312:0.753723:0.907652:0.753723:0.907652:0.738053:0.305312:0.738053:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
completamos la información de la tabla de esta forma::@0.305312:0.770319:0.703839:0.770319:0.703839:0.754650:0.305312:0.754650:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Archivo Editorial:@0.838477:0.571961:0.903639:0.571961:0.903639:0.563414:0.838477:0.563414:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Archivo Editorial:@0.838477:0.941366:0.903639:0.941366:0.903639:0.932819:0.838477:0.932819:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
M.4.3.7.:@0.096059:0.957085:0.135684:0.957085:0.135684:0.946330:0.096059:0.946330:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 Calcular e interpretar las medidas de dispersión, rango, varianza y desviación estándar de un conjunto de datos en la solución de problemas.:@0.135684:0.957085:0.790614:0.957085:0.790614:0.947113:0.135684:0.947113:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
m:@0.634302:0.186785:0.643613:0.186785:0.643613:0.176374:0.634302:0.176374:0.000000
 = 7:@0.643613:0.186785:0.661461:0.186785:0.661461:0.176814:0.643613:0.176814:0.000000:0.000000:0.000000:0.000000