231:@0.937671:0.974518:0.968375:0.974518:0.968375:0.956333:0.937671:0.956333:0.000000:0.000000:0.000000
Pensamiento aleatorio:@0.725364:0.043660:0.926913:0.043660:0.926913:0.024915:0.725364:0.024915:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2.4 Varianza para datos agrupados:@0.073092:0.225276:0.343789:0.225276:0.343789:0.208329:0.073092:0.208329:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para datos agrupados, la varianza de una muestra se calcula así:  :@0.073092:0.273496:0.537877:0.273496:0.537877:0.257062:0.073092:0.257062:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Ejercicios resueltos:@0.073092:0.304428:0.217513:0.304428:0.217513:0.287759:0.073092:0.287759:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1.  Consideremos el conjunto de datos   = {15, 20, 25, 30, 35, 40, 45}. En primer lugar, :@0.073092:0.328217:0.710574:0.328217:0.710574:0.311784:0.073092:0.311784:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.370990:0.328217:0.380046:0.328217:0.380046:0.311811:0.370990:0.311811:0.000000
calculamos la media aritmética::@0.103220:0.344859:0.330781:0.344859:0.330781:0.328425:0.103220:0.328425:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15 20 25 30 35 40 45 210:@0.272284:0.366724:0.483574:0.366724:0.483574:0.352019:0.272284:0.352019:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.355364:0.384196:0.363402:0.384196:0.363402:0.369491:0.355364:0.369491:0.000000
7:@0.469178:0.384196:0.477216:0.384196:0.477216:0.369491:0.469178:0.369491:0.000000
30.:@0.499304:0.374368:0.515742:0.374368:0.515742:0.359663:0.499304:0.359663:0.000000:0.000000:0.000000
, Xi 25 30 35 40 45 210:@0.358937:0.402434:0.533578:0.399979:0.533578:0.385273:0.358937:0.387729:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,, ,:@0.379065:0.402434:0.419402:0.402434:0.419402:0.387729:0.379065:0.387729:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15}:@0.272020:0.424014:0.412698:0.424014:0.412698:0.409309:0.272020:0.409309:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510–5 05–10 15 30.:@0.284538:0.443609:0.523598:0.444571:0.523598:0.429866:0.284538:0.428904:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.384319:0.462459:0.392357:0.462459:0.392357:0.447754:0.384319:0.447754:0.000000
8,57,:@0.510701:0.452655:0.540843:0.452655:0.540843:0.437950:0.510701:0.437950:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.382672:0.497118:0.397496:0.497118:0.397496:0.482413:0.382672:0.482413:0.000000:0.000000
10 7:@0.435527:0.497118:0.442372:0.495712:0.442372:0.481007:0.435527:0.482413:0.000000:0.000000:0.000000:0.000000
5:@0.488761:0.497118:0.496799:0.497118:0.496799:0.482413:0.488761:0.482413:0.000000
0:@0.519727:0.497118:0.527765:0.497118:0.527765:0.482413:0.519727:0.482413:0.000000
510:@0.545422:0.497118:0.585298:0.497118:0.585298:0.482413:0.545422:0.482413:0.000000:0.000000:0.000000
15:@0.601818:0.497118:0.617466:0.497118:0.617466:0.482413:0.601818:0.482413:0.000000:0.000000
7 15:@0.491710:0.515906:0.500022:0.513811:0.500022:0.499106:0.491710:0.501201:0.000000:0.000000:0.000000:0.000000
700:@0.641942:0.497354:0.663552:0.497354:0.663552:0.482649:0.641942:0.482649:0.000000:0.000000:0.000000
7:@0.649156:0.514826:0.657194:0.514826:0.657194:0.500121:0.649156:0.500121:0.000000
100.:@0.678606:0.505010:0.701830:0.505010:0.701830:0.490305:0.678606:0.490305:0.000000:0.000000:0.000000:0.000000
1:@0.286697:0.404365:0.291350:0.404365:0.291350:0.395854:0.286697:0.395854:0.000000
1:@0.324545:0.404365:0.329197:0.404365:0.329197:0.395854:0.324545:0.395854:0.000000
2:@0.260604:0.499212:0.265256:0.499212:0.265256:0.490700:0.260604:0.490700:0.000000
2:@0.345290:0.479524:0.349942:0.479524:0.349942:0.471013:0.345290:0.471013:0.000000
1:@0.292474:0.500188:0.297127:0.500188:0.297127:0.491677:0.292474:0.491677:0.000000
2:@0.403072:0.488251:0.407724:0.488251:0.407724:0.479739:0.403072:0.479739:0.000000
2:@0.456049:0.488251:0.460702:0.488251:0.460702:0.479739:0.456049:0.479739:0.000000
2:@0.501943:0.488251:0.506596:0.488251:0.506596:0.479739:0.501943:0.479739:0.000000
2:@0.527951:0.490240:0.532603:0.490240:0.532603:0.481729:0.527951:0.481729:0.000000
2:@0.552642:0.490240:0.557295:0.490240:0.557295:0.481729:0.552642:0.481729:0.000000
2:@0.585066:0.490240:0.589718:0.490240:0.589718:0.481729:0.585066:0.481729:0.000000
2:@0.616650:0.490240:0.621302:0.490240:0.621302:0.481729:0.616650:0.481729:0.000000
x:@0.249235:0.374370:0.256301:0.374370:0.256301:0.359665:0.249235:0.359665:0.000000
D:@0.247982:0.402434:0.258638:0.402434:0.258638:0.387729:0.247982:0.387729:0.000000
x:@0.279804:0.402434:0.286870:0.402434:0.286870:0.387729:0.279804:0.387729:0.000000
xx 15 20:@0.305185:0.402434:0.363252:0.399979:0.363252:0.385273:0.305185:0.387729:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
n:@0.407734:0.402434:0.416562:0.402434:0.416562:0.387729:0.407734:0.387729:0.000000
D:@0.247998:0.424014:0.258655:0.424014:0.258655:0.409309:0.247998:0.409309:0.000000
D:@0.247998:0.452655:0.258655:0.452655:0.258655:0.437950:0.247998:0.437950:0.000000
x D:@0.306717:0.488394:0.308643:0.485908:0.308643:0.471203:0.306717:0.473689:0.000000:0.000000:0.000000
x:@0.330419:0.488394:0.337485:0.488394:0.337485:0.473689:0.330419:0.473689:0.000000
n:@0.312812:0.515906:0.321640:0.515906:0.321640:0.501201:0.312812:0.501201:0.000000
m:@0.257694:0.454576:0.265502:0.454576:0.265502:0.446064:0.257694:0.446064:0.000000
i m:@0.313865:0.490324:0.315506:0.487831:0.315506:0.479319:0.313865:0.481812:0.000000:0.000000:0.000000
i:@0.285312:0.500200:0.287305:0.500200:0.287305:0.491688:0.285312:0.491688:0.000000
n 1:@0.288220:0.473394:0.299206:0.474569:0.299206:0.466057:0.288220:0.464883:0.000000:0.000000:0.000000
∑:@0.281717:0.492909:0.299333:0.492909:0.299333:0.471950:0.281717:0.471950:0.000000
σ:@0.246227:0.506696:0.256159:0.506696:0.260239:0.492723:0.250307:0.492723:0.000000
{:@0.271346:0.405831:0.279252:0.405831:0.279252:0.386688:0.271346:0.386688:0.000000
}:@0.418514:0.405831:0.426420:0.405831:0.426420:0.386688:0.418514:0.386688:0.000000
(:@0.299991:0.491602:0.305475:0.491602:0.305475:0.473158:0.299991:0.473158:0.000000
):@0.339554:0.491602:0.345039:0.491602:0.345039:0.473158:0.339554:0.473158:0.000000
(:@0.368065:0.500333:0.373550:0.500333:0.373550:0.481888:0.368065:0.481888:0.000000
) (:@0.397334:0.500333:0.426405:0.500333:0.426405:0.481888:0.397334:0.481888:0.000000:0.000000:0.000000
) ( ):@0.450552:0.500333:0.501711:0.500333:0.501711:0.481888:0.450552:0.481888:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.260156:0.374978:0.269198:0.374978:0.269198:0.361005:0.260156:0.361005:0.000000
+:@0.287909:0.367334:0.296952:0.367334:0.296952:0.353361:0.287909:0.353361:0.000000
+:@0.314411:0.367334:0.323454:0.367334:0.323454:0.353361:0.314411:0.353361:0.000000
+:@0.340550:0.367334:0.349593:0.367334:0.349593:0.353361:0.340550:0.353361:0.000000
+:@0.367052:0.367334:0.376095:0.367334:0.376095:0.353361:0.367052:0.353361:0.000000
+:@0.393192:0.367334:0.402234:0.367334:0.402234:0.353361:0.393192:0.353361:0.000000
+:@0.420039:0.367334:0.429082:0.367334:0.429082:0.353361:0.420039:0.353361:0.000000
=:@0.449176:0.374978:0.458219:0.374978:0.458219:0.361005:0.449176:0.361005:0.000000
=:@0.487801:0.374978:0.496844:0.374978:0.496844:0.361005:0.487801:0.361005:0.000000
=:@0.260514:0.403043:0.269556:0.403043:0.269556:0.389070:0.260514:0.389070:0.000000
−:@0.293406:0.403043:0.302449:0.403043:0.302449:0.389070:0.293406:0.389070:0.000000
∈ +:@0.332838:0.403043:0.346956:0.400589:0.346956:0.386616:0.332838:0.389070:0.000000:0.000000:0.000000
= ⋅⋅⋅ +:@0.368777:0.403043:0.399597:0.400589:0.399597:0.386616:0.368777:0.389070:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.260514:0.424622:0.269556:0.424622:0.269556:0.410649:0.260514:0.410649:0.000000
−:@0.304508:0.424622:0.313550:0.424622:0.313550:0.410649:0.304508:0.410649:0.000000
−:@0.332574:0.424622:0.341617:0.424622:0.341617:0.410649:0.332574:0.410649:0.000000
=:@0.269145:0.453263:0.278187:0.453263:0.278187:0.439290:0.269145:0.439290:0.000000
+:@0.311672:0.444217:0.320715:0.444217:0.320715:0.430244:0.311672:0.430244:0.000000
+:@0.342687:0.444217:0.351730:0.444217:0.351730:0.430244:0.342687:0.430244:0.000000
++ +:@0.375728:0.444217:0.433377:0.444217:0.433377:0.430244:0.375728:0.430244:0.000000:0.000000:0.000000:0.000000
+:@0.464935:0.444217:0.473978:0.444217:0.473978:0.430244:0.464935:0.430244:0.000000
=:@0.269276:0.506711:0.278319:0.506711:0.278319:0.492738:0.269276:0.492738:0.000000
− =:@0.319183:0.489002:0.328198:0.486516:0.328198:0.472543:0.319183:0.475029:0.000000:0.000000:0.000000
=:@0.355271:0.506711:0.364314:0.506711:0.364314:0.492738:0.355271:0.492738:0.000000
−:@0.373785:0.497726:0.382827:0.497726:0.382827:0.483753:0.373785:0.483753:0.000000
+ −:@0.410400:0.497726:0.435699:0.497726:0.435699:0.483753:0.410400:0.483753:0.000000:0.000000:0.000000
+ −:@0.463634:0.497726:0.488900:0.497726:0.488900:0.483753:0.463634:0.483753:0.000000:0.000000:0.000000
+:@0.509258:0.497726:0.518301:0.497726:0.518301:0.483753:0.509258:0.483753:0.000000
++:@0.535283:0.497726:0.569262:0.497726:0.569262:0.483753:0.535283:0.483753:0.000000:0.000000
+:@0.592387:0.497726:0.601430:0.497726:0.601430:0.483753:0.592387:0.483753:0.000000
=:@0.629151:0.505631:0.638193:0.505631:0.638193:0.491658:0.629151:0.491658:0.000000
=:@0.667775:0.505631:0.676818:0.505631:0.676818:0.491658:0.667775:0.491658:0.000000
=:@0.287502:0.500545:0.292736:0.500545:0.292736:0.492458:0.287502:0.492458:0.000000
 :@0.073092:0.392606:0.077306:0.392606:0.077306:0.375425:0.073092:0.375425:0.000000
 :@0.073092:0.410004:0.077306:0.410004:0.077306:0.392824:0.073092:0.392824:0.000000
A continuación, obtenemos el conjunto de desviaciones::@0.096800:0.410004:0.531598:0.410004:0.531598:0.392824:0.096800:0.392824:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.405368:0.417451:0.413406:0.417451:0.413406:0.402746:0.405368:0.402746:0.000000
7:@0.519182:0.417451:0.527220:0.417451:0.527220:0.402746:0.519182:0.402746:0.000000
30.:@0.549308:0.407623:0.565746:0.407623:0.565746:0.392918:0.549308:0.392918:0.000000:0.000000:0.000000
, Xi 40 45 210:@0.408941:0.435689:0.491431:0.436927:0.491431:0.422222:0.408941:0.420984:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1,, ,:@0.429069:0.435689:0.469406:0.435689:0.469406:0.420984:0.429069:0.420984:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15}:@0.322024:0.457269:0.462703:0.457269:0.462703:0.442564:0.322024:0.442564:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510–5 05–10 15:@0.334553:0.476863:0.542169:0.476863:0.542169:0.462157:0.334553:0.462157:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
8,57,:@0.560716:0.485909:0.590858:0.485909:0.590858:0.471204:0.560716:0.471204:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.432687:0.530372:0.447511:0.530372:0.447511:0.515667:0.432687:0.515667:0.000000:0.000000
10:@0.485542:0.530372:0.500366:0.530372:0.500366:0.515667:0.485542:0.515667:0.000000:0.000000
5:@0.538776:0.530372:0.546814:0.530372:0.546814:0.515667:0.538776:0.515667:0.000000
0:@0.569742:0.530372:0.577780:0.530372:0.577780:0.515667:0.569742:0.515667:0.000000
510:@0.595437:0.530372:0.635313:0.530372:0.635313:0.515667:0.595437:0.515667:0.000000:0.000000:0.000000
15:@0.651833:0.530372:0.667480:0.530372:0.667480:0.515667:0.651833:0.515667:0.000000:0.000000
7:@0.541725:0.549160:0.549762:0.549160:0.549762:0.534455:0.541725:0.534455:0.000000
700:@0.691956:0.530608:0.713566:0.530608:0.713566:0.515903:0.691956:0.515903:0.000000:0.000000:0.000000
7:@0.699171:0.548080:0.707209:0.548080:0.707209:0.533375:0.699171:0.533375:0.000000
100.:@0.728621:0.538264:0.751845:0.538264:0.751845:0.523559:0.728621:0.523559:0.000000:0.000000:0.000000:0.000000
1:@0.336701:0.437620:0.341354:0.437620:0.341354:0.429109:0.336701:0.429109:0.000000
1:@0.374549:0.437620:0.379201:0.437620:0.379201:0.429109:0.374549:0.429109:0.000000
2:@0.310607:0.532468:0.315259:0.532468:0.315259:0.523957:0.310607:0.523957:0.000000
2:@0.395292:0.512781:0.399944:0.512781:0.399944:0.504270:0.395292:0.504270:0.000000
1:@0.342477:0.533445:0.347129:0.533445:0.347129:0.524934:0.342477:0.524934:0.000000
2:@0.453074:0.521508:0.457727:0.521508:0.457727:0.512996:0.453074:0.512996:0.000000
2:@0.506052:0.521508:0.510704:0.521508:0.510704:0.512996:0.506052:0.512996:0.000000
2:@0.551946:0.521508:0.556598:0.521508:0.556598:0.512996:0.551946:0.512996:0.000000
2:@0.577953:0.523497:0.582605:0.523497:0.582605:0.514986:0.577953:0.514986:0.000000
2:@0.602645:0.523497:0.607297:0.523497:0.607297:0.514986:0.602645:0.514986:0.000000
2:@0.635068:0.523497:0.639720:0.523497:0.639720:0.514986:0.635068:0.514986:0.000000
2:@0.666652:0.523497:0.671305:0.523497:0.671305:0.514986:0.666652:0.514986:0.000000
x:@0.299239:0.407625:0.306305:0.407625:0.306305:0.392920:0.299239:0.392920:0.000000
D 20 25 30 35:@0.297986:0.435689:0.400247:0.436927:0.400247:0.422222:0.297986:0.420984:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.329808:0.435689:0.336874:0.435689:0.336874:0.420984:0.329808:0.420984:0.000000
xx:@0.355190:0.435689:0.374724:0.435689:0.374724:0.420984:0.355190:0.420984:0.000000:0.000000
n:@0.457738:0.435689:0.466566:0.435689:0.466566:0.420984:0.457738:0.420984:0.000000
D:@0.298002:0.457269:0.308659:0.457269:0.308659:0.442564:0.298002:0.442564:0.000000
x:@0.356705:0.521647:0.363771:0.521647:0.363771:0.506942:0.356705:0.506942:0.000000
x:@0.380407:0.521647:0.387473:0.521647:0.387473:0.506942:0.380407:0.506942:0.000000
n:@0.362799:0.549159:0.371628:0.549159:0.371628:0.534454:0.362799:0.534454:0.000000
i:@0.363869:0.523578:0.365862:0.523578:0.365862:0.515067:0.363869:0.515067:0.000000
i:@0.335317:0.533454:0.337309:0.533454:0.337309:0.524943:0.335317:0.524943:0.000000
n:@0.338224:0.506649:0.343334:0.506649:0.343334:0.498138:0.338224:0.498138:0.000000
∑:@0.331721:0.526165:0.349337:0.526165:0.349337:0.505205:0.331721:0.505205:0.000000
σ:@0.296231:0.539951:0.306163:0.539951:0.310244:0.525978:0.300312:0.525978:0.000000
{:@0.321350:0.439086:0.329256:0.439086:0.329256:0.419943:0.321350:0.419943:0.000000
}:@0.468518:0.439086:0.476424:0.439086:0.476424:0.419943:0.468518:0.419943:0.000000
(:@0.349995:0.524857:0.355480:0.524857:0.355480:0.506412:0.349995:0.506412:0.000000
):@0.389558:0.524857:0.395043:0.524857:0.395043:0.506412:0.389558:0.506412:0.000000
(:@0.418069:0.533588:0.423554:0.533588:0.423554:0.515143:0.418069:0.515143:0.000000
) (:@0.447338:0.533588:0.476410:0.533588:0.476410:0.515143:0.447338:0.515143:0.000000:0.000000:0.000000
) ( ):@0.500556:0.533588:0.551715:0.533588:0.551715:0.515143:0.500556:0.515143:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.310160:0.408233:0.319202:0.408233:0.319202:0.394260:0.310160:0.394260:0.000000
+:@0.364415:0.400589:0.373458:0.400589:0.373458:0.386616:0.364415:0.386616:0.000000
+:@0.417056:0.400589:0.426099:0.400589:0.426099:0.386616:0.417056:0.386616:0.000000
+:@0.443196:0.400589:0.452238:0.400589:0.452238:0.386616:0.443196:0.386616:0.000000
+:@0.470043:0.400589:0.479086:0.400589:0.479086:0.386616:0.470043:0.386616:0.000000
=:@0.499181:0.408233:0.508223:0.408233:0.508223:0.394260:0.499181:0.394260:0.000000
=:@0.537805:0.408233:0.546848:0.408233:0.546848:0.394260:0.537805:0.394260:0.000000
= +:@0.310518:0.436297:0.331310:0.437538:0.331310:0.423565:0.310518:0.422324:0.000000:0.000000:0.000000
− +:@0.343410:0.436297:0.357449:0.437538:0.357449:0.423565:0.343410:0.422324:0.000000:0.000000:0.000000
∈ +:@0.382842:0.436297:0.410091:0.437538:0.410091:0.423565:0.382842:0.422324:0.000000:0.000000:0.000000
= ⋅⋅⋅:@0.418782:0.436297:0.453651:0.436297:0.453651:0.422324:0.418782:0.422324:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.310518:0.457877:0.319560:0.457877:0.319560:0.443904:0.310518:0.443904:0.000000
−:@0.354512:0.457877:0.363554:0.457877:0.363554:0.443904:0.354512:0.443904:0.000000
−:@0.382578:0.457877:0.391621:0.457877:0.391621:0.443904:0.382578:0.443904:0.000000
+:@0.361684:0.477470:0.370726:0.477470:0.370726:0.463497:0.361684:0.463497:0.000000
+:@0.392699:0.477470:0.401741:0.477470:0.401741:0.463497:0.392699:0.463497:0.000000
++ +:@0.425740:0.477470:0.483388:0.477470:0.483388:0.463497:0.425740:0.463497:0.000000:0.000000:0.000000:0.000000
+:@0.514946:0.477470:0.523989:0.477470:0.523989:0.463497:0.514946:0.463497:0.000000
=:@0.319288:0.539964:0.328330:0.539964:0.328330:0.525991:0.319288:0.525991:0.000000
−:@0.369195:0.522256:0.378237:0.522256:0.378237:0.508283:0.369195:0.508283:0.000000
=:@0.405283:0.539964:0.414325:0.539964:0.414325:0.525991:0.405283:0.525991:0.000000
−:@0.423796:0.530979:0.432839:0.530979:0.432839:0.517006:0.423796:0.517006:0.000000
+ −:@0.460411:0.530979:0.485710:0.530979:0.485710:0.517006:0.460411:0.517006:0.000000:0.000000:0.000000
+ −:@0.513645:0.530979:0.538912:0.530979:0.538912:0.517006:0.513645:0.517006:0.000000:0.000000:0.000000
+:@0.559270:0.530979:0.568312:0.530979:0.568312:0.517006:0.559270:0.517006:0.000000
++:@0.585294:0.530979:0.619274:0.530979:0.619274:0.517006:0.585294:0.517006:0.000000:0.000000
+:@0.642399:0.530979:0.651441:0.530979:0.651441:0.517006:0.642399:0.517006:0.000000
=:@0.679162:0.538884:0.688205:0.538884:0.688205:0.524911:0.679162:0.524911:0.000000
=:@0.717787:0.538884:0.726829:0.538884:0.726829:0.524911:0.717787:0.524911:0.000000
=:@0.337506:0.533800:0.342740:0.533800:0.342740:0.525712:0.337506:0.525712:0.000000
 :@0.073092:0.486320:0.077306:0.486320:0.077306:0.469139:0.073092:0.469139:0.000000
y calculamos la desviación media absoluta. Se tiene:@0.096800:0.486320:0.490108:0.486320:0.490108:0.469139:0.096800:0.469139:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.073092:0.538505:0.077306:0.538505:0.077306:0.521324:0.073092:0.521324:0.000000
15:@0.280141:0.436927:0.294965:0.436927:0.294965:0.422222:0.280141:0.422222:0.000000:0.000000
7:@0.363220:0.454400:0.371258:0.454400:0.371258:0.439695:0.363220:0.439695:0.000000
7:@0.477035:0.454400:0.485073:0.454400:0.485073:0.439695:0.477035:0.439695:0.000000
, Xi:@0.366795:0.472641:0.373673:0.472644:0.373673:0.457939:0.366795:0.457936:0.000000:0.000000:0.000000:0.000000
1,, , n:@0.386922:0.472641:0.424420:0.472644:0.424420:0.457939:0.386922:0.457936:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15}:@0.279877:0.494221:0.420556:0.494221:0.420556:0.479516:0.279877:0.479516:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510–5 05–10:@0.292405:0.513811:0.469007:0.513811:0.469007:0.499106:0.292405:0.499106:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.392186:0.532661:0.400224:0.532661:0.400224:0.517956:0.392186:0.517956:0.000000
8,57,:@0.518568:0.522858:0.548710:0.522858:0.548710:0.508153:0.518568:0.508153:0.000000:0.000000:0.000000:0.000000:0.000000
15 8,57,:@0.390559:0.567318:0.450323:0.569033:0.450323:0.554328:0.390559:0.552613:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.443415:0.567318:0.458239:0.567318:0.458239:0.552613:0.443415:0.552613:0.000000:0.000000
5:@0.496649:0.567318:0.504687:0.567318:0.504687:0.552613:0.496649:0.552613:0.000000
0:@0.527614:0.567318:0.535652:0.567318:0.535652:0.552613:0.527614:0.552613:0.000000
510:@0.553309:0.567318:0.593185:0.567318:0.593185:0.552613:0.553309:0.552613:0.000000:0.000000:0.000000
15:@0.609706:0.567318:0.625353:0.567318:0.625353:0.552613:0.609706:0.552613:0.000000:0.000000
7:@0.499597:0.586106:0.507635:0.586106:0.507635:0.571401:0.499597:0.571401:0.000000
700:@0.649829:0.567554:0.671439:0.567554:0.671439:0.552849:0.649829:0.552849:0.000000:0.000000:0.000000
7:@0.657043:0.585027:0.665081:0.585027:0.665081:0.570322:0.657043:0.570322:0.000000
100.:@0.686493:0.575211:0.709717:0.575211:0.709717:0.560506:0.686493:0.560506:0.000000:0.000000:0.000000:0.000000
1:@0.332402:0.474569:0.337054:0.474569:0.337054:0.466057:0.332402:0.466057:0.000000
2:@0.268461:0.569415:0.273113:0.569415:0.273113:0.560903:0.268461:0.560903:0.000000
2:@0.353146:0.549727:0.357799:0.549727:0.357799:0.541216:0.353146:0.541216:0.000000
1:@0.300331:0.570392:0.304983:0.570392:0.304983:0.561880:0.300331:0.561880:0.000000
2:@0.410929:0.558454:0.415581:0.558454:0.415581:0.549943:0.410929:0.549943:0.000000
2:@0.463906:0.558454:0.468558:0.558454:0.468558:0.549943:0.463906:0.549943:0.000000
2:@0.509800:0.558454:0.514452:0.558454:0.514452:0.549943:0.509800:0.549943:0.000000
2:@0.535807:0.560444:0.540460:0.560444:0.540460:0.551932:0.535807:0.551932:0.000000
2:@0.560499:0.560444:0.565151:0.560444:0.565151:0.551932:0.560499:0.551932:0.000000
2:@0.592922:0.560444:0.597574:0.560444:0.597574:0.551932:0.592922:0.551932:0.000000
2:@0.624506:0.560444:0.629159:0.560444:0.629159:0.551932:0.624506:0.551932:0.000000
x:@0.257092:0.444574:0.264158:0.444574:0.264158:0.429869:0.257092:0.429869:0.000000
D:@0.255840:0.472644:0.266497:0.472644:0.266497:0.457939:0.255840:0.457939:0.000000
x:@0.287662:0.472644:0.294728:0.472644:0.294728:0.457939:0.287662:0.457939:0.000000
xx:@0.313043:0.472644:0.332578:0.472644:0.332578:0.457939:0.313043:0.457939:0.000000:0.000000
D:@0.255856:0.494224:0.266513:0.494224:0.266513:0.479518:0.255856:0.479518:0.000000
D:@0.255838:0.522857:0.266495:0.522857:0.266495:0.508152:0.255838:0.508152:0.000000
x:@0.314561:0.558602:0.321627:0.558602:0.321627:0.543897:0.314561:0.543897:0.000000
x:@0.338262:0.558602:0.345328:0.558602:0.345328:0.543897:0.338262:0.543897:0.000000
n:@0.320655:0.586113:0.329483:0.586113:0.329483:0.571408:0.320655:0.571408:0.000000
m:@0.265551:0.524779:0.273358:0.524779:0.273358:0.516268:0.265551:0.516268:0.000000
i:@0.321721:0.560524:0.323714:0.560524:0.323714:0.552012:0.321721:0.552012:0.000000
i:@0.293168:0.570400:0.295161:0.570400:0.295161:0.561888:0.293168:0.561888:0.000000
n:@0.296076:0.543594:0.301186:0.543594:0.301186:0.535083:0.296076:0.535083:0.000000
∑:@0.289574:0.563114:0.307189:0.563114:0.307189:0.542154:0.289574:0.542154:0.000000
σ:@0.254084:0.576899:0.264016:0.576899:0.268096:0.562926:0.258164:0.562926:0.000000
{:@0.279202:0.476036:0.287108:0.476036:0.287108:0.456893:0.279202:0.456893:0.000000
}:@0.426370:0.476036:0.434276:0.476036:0.434276:0.456893:0.426370:0.456893:0.000000
(:@0.307847:0.561805:0.313332:0.561805:0.313332:0.543361:0.307847:0.543361:0.000000
):@0.347410:0.561805:0.352895:0.561805:0.352895:0.543361:0.347410:0.543361:0.000000
(:@0.375922:0.570536:0.381406:0.570536:0.381406:0.552092:0.375922:0.552092:0.000000
) (:@0.405191:0.570536:0.434262:0.570536:0.434262:0.552092:0.405191:0.552092:0.000000:0.000000:0.000000
) ( ):@0.458408:0.570536:0.509567:0.570536:0.509567:0.552092:0.458408:0.552092:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.268012:0.445182:0.277055:0.445182:0.277055:0.431209:0.268012:0.431209:0.000000
+:@0.295766:0.437538:0.304808:0.437538:0.304808:0.423565:0.295766:0.423565:0.000000
+:@0.374909:0.437538:0.383951:0.437538:0.383951:0.423565:0.374909:0.423565:0.000000
+:@0.427896:0.437538:0.436939:0.437538:0.436939:0.423565:0.427896:0.423565:0.000000
=:@0.457033:0.445182:0.466076:0.445182:0.466076:0.431209:0.457033:0.431209:0.000000
=:@0.495657:0.445182:0.504700:0.445182:0.504700:0.431209:0.495657:0.431209:0.000000
=:@0.268374:0.473252:0.277417:0.473252:0.277417:0.459279:0.268374:0.459279:0.000000
−:@0.301267:0.473252:0.310310:0.473252:0.310310:0.459279:0.301267:0.459279:0.000000
∈:@0.340699:0.473252:0.352442:0.473252:0.352442:0.459279:0.340699:0.459279:0.000000
= ⋅⋅⋅:@0.376638:0.473252:0.411507:0.473252:0.411507:0.459279:0.376638:0.459279:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.268374:0.494832:0.277417:0.494832:0.277417:0.480859:0.268374:0.480859:0.000000
−:@0.312368:0.494832:0.321411:0.494832:0.321411:0.480859:0.312368:0.480859:0.000000
−:@0.340435:0.494832:0.349478:0.494832:0.349478:0.480859:0.340435:0.480859:0.000000
=:@0.277008:0.523465:0.286051:0.523465:0.286051:0.509492:0.277008:0.509492:0.000000
+:@0.319536:0.514419:0.328579:0.514419:0.328579:0.500446:0.319536:0.500446:0.000000
+:@0.350551:0.514419:0.359594:0.514419:0.359594:0.500446:0.350551:0.500446:0.000000
++ +:@0.383592:0.514419:0.441240:0.514419:0.441240:0.500446:0.383592:0.500446:0.000000:0.000000:0.000000:0.000000
+:@0.472799:0.514419:0.481841:0.514419:0.481841:0.500446:0.472799:0.500446:0.000000
=:@0.277132:0.576913:0.286175:0.576913:0.286175:0.562940:0.277132:0.562940:0.000000
− +:@0.327039:0.559205:0.342859:0.560597:0.342859:0.546624:0.327039:0.545232:0.000000:0.000000:0.000000
=:@0.363127:0.576913:0.372170:0.576913:0.372170:0.562940:0.363127:0.562940:0.000000
−:@0.381640:0.567929:0.390683:0.567929:0.390683:0.553956:0.381640:0.553956:0.000000
+ −:@0.418255:0.567929:0.443555:0.567929:0.443555:0.553956:0.418255:0.553956:0.000000:0.000000:0.000000
+ −:@0.471490:0.567929:0.496756:0.567929:0.496756:0.553956:0.471490:0.553956:0.000000:0.000000:0.000000
+:@0.517114:0.567929:0.526157:0.567929:0.526157:0.553956:0.517114:0.553956:0.000000
++:@0.543138:0.567929:0.577118:0.567929:0.577118:0.553956:0.543138:0.553956:0.000000:0.000000
+:@0.600243:0.567929:0.609286:0.567929:0.609286:0.553956:0.600243:0.553956:0.000000
=:@0.637006:0.575834:0.646049:0.575834:0.646049:0.561861:0.637006:0.561861:0.000000
=:@0.675631:0.575834:0.684674:0.575834:0.684674:0.561861:0.675631:0.561861:0.000000
=:@0.295359:0.570749:0.300592:0.570749:0.300592:0.562661:0.295359:0.562661:0.000000
 :@0.073092:0.559477:0.077306:0.559477:0.077306:0.542296:0.073092:0.542296:0.000000
donde el símbolo   significa aproximado. Con el conjunto de desviaciones  :@0.096800:0.559477:0.710548:0.559477:0.710548:0.542296:0.096800:0.542296:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
≃:@0.246404:0.561341:0.261703:0.561341:0.261703:0.545379:0.246404:0.545379:0.000000
calculamos la varianza::@0.096801:0.576875:0.270401:0.576875:0.270401:0.559695:0.096801:0.559695:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15 20 25 30 35 40 45 210:@0.181764:0.483098:0.393054:0.483098:0.393054:0.468393:0.181764:0.468393:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.264844:0.500571:0.272882:0.500571:0.272882:0.485866:0.264844:0.485866:0.000000
7:@0.378658:0.500571:0.386696:0.500571:0.386696:0.485866:0.378658:0.485866:0.000000
30.:@0.408784:0.490742:0.425222:0.490742:0.425222:0.476037:0.408784:0.476037:0.000000:0.000000:0.000000
, Xi:@0.268418:0.518812:0.275295:0.518815:0.275295:0.504110:0.268418:0.504107:0.000000:0.000000:0.000000:0.000000
1,, , n:@0.288545:0.518812:0.326042:0.518815:0.326042:0.504110:0.288545:0.504107:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
{–15,10, 5,0,5,10,15}:@0.181501:0.540392:0.322179:0.540392:0.322179:0.525687:0.181501:0.525687:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
–1510–5 05–10 15:@0.194018:0.559987:0.401635:0.559987:0.401635:0.545282:0.194018:0.545282:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
7:@0.293800:0.578837:0.301837:0.578837:0.301837:0.564132:0.293800:0.564132:0.000000
15:@0.292183:0.613489:0.307006:0.613489:0.307006:0.598784:0.292183:0.598784:0.000000:0.000000
10:@0.345038:0.613489:0.359862:0.613489:0.359862:0.598784:0.345038:0.598784:0.000000:0.000000
5:@0.398272:0.613489:0.406310:0.613489:0.406310:0.598784:0.398272:0.598784:0.000000
0:@0.429238:0.613489:0.437275:0.613489:0.437275:0.598784:0.429238:0.598784:0.000000
510:@0.454932:0.613489:0.494809:0.613489:0.494809:0.598784:0.454932:0.598784:0.000000:0.000000:0.000000
15:@0.511329:0.613489:0.526976:0.613489:0.526976:0.598784:0.511329:0.598784:0.000000:0.000000
7:@0.401220:0.632277:0.409258:0.632277:0.409258:0.617572:0.401220:0.617572:0.000000
700:@0.551452:0.613725:0.573062:0.613725:0.573062:0.599020:0.551452:0.599020:0.000000:0.000000:0.000000
7:@0.558667:0.631198:0.566704:0.631198:0.566704:0.616493:0.558667:0.616493:0.000000
100.:@0.588117:0.621382:0.611341:0.621382:0.611341:0.606677:0.588117:0.606677:0.000000:0.000000:0.000000:0.000000
1:@0.196175:0.520740:0.200828:0.520740:0.200828:0.512228:0.196175:0.512228:0.000000
1:@0.234023:0.520740:0.238675:0.520740:0.238675:0.512228:0.234023:0.512228:0.000000
2:@0.170082:0.615588:0.174735:0.615588:0.174735:0.607077:0.170082:0.607077:0.000000
2:@0.254768:0.595901:0.259420:0.595901:0.259420:0.587389:0.254768:0.587389:0.000000
1:@0.201953:0.616565:0.206605:0.616565:0.206605:0.608054:0.201953:0.608054:0.000000
2:@0.312550:0.604627:0.317202:0.604627:0.317202:0.596116:0.312550:0.596116:0.000000
2:@0.365527:0.604627:0.370180:0.604627:0.370180:0.596116:0.365527:0.596116:0.000000
2:@0.411422:0.604627:0.416074:0.604627:0.416074:0.596116:0.411422:0.596116:0.000000
2:@0.437429:0.606617:0.442081:0.606617:0.442081:0.598106:0.437429:0.598106:0.000000
2:@0.462120:0.606617:0.466773:0.606617:0.466773:0.598106:0.462120:0.598106:0.000000
2:@0.494544:0.606617:0.499196:0.606617:0.499196:0.598106:0.494544:0.598106:0.000000
2:@0.526128:0.606617:0.530780:0.606617:0.530780:0.598106:0.526128:0.598106:0.000000
x:@0.158713:0.490745:0.165779:0.490745:0.165779:0.476040:0.158713:0.476040:0.000000
D:@0.157461:0.518815:0.168118:0.518815:0.168118:0.504110:0.157461:0.504110:0.000000
x:@0.189283:0.518815:0.196349:0.518815:0.196349:0.504110:0.189283:0.504110:0.000000
xx:@0.214665:0.518815:0.234200:0.518815:0.234200:0.504110:0.214665:0.504110:0.000000:0.000000
D:@0.157478:0.540395:0.168135:0.540395:0.168135:0.525689:0.157478:0.525689:0.000000
D:@0.157478:0.569035:0.168135:0.569035:0.168135:0.554330:0.157478:0.554330:0.000000
x:@0.216182:0.604773:0.223248:0.604773:0.223248:0.590068:0.216182:0.590068:0.000000
x:@0.239884:0.604773:0.246950:0.604773:0.246950:0.590068:0.239884:0.590068:0.000000
n:@0.222277:0.632284:0.231105:0.632284:0.231105:0.617579:0.222277:0.617579:0.000000
m:@0.167172:0.570950:0.174980:0.570950:0.174980:0.562439:0.167172:0.562439:0.000000
i:@0.223344:0.606695:0.225337:0.606695:0.225337:0.598183:0.223344:0.598183:0.000000
i:@0.194792:0.616571:0.196784:0.616571:0.196784:0.608059:0.194792:0.608059:0.000000
n:@0.197699:0.589765:0.202809:0.589765:0.202809:0.581254:0.197699:0.581254:0.000000
∑:@0.191197:0.609285:0.208813:0.609285:0.208813:0.588325:0.191197:0.588325:0.000000
σ:@0.155705:0.623070:0.165637:0.623070:0.169718:0.609097:0.159786:0.609097:0.000000
{:@0.180824:0.522206:0.188730:0.522206:0.188730:0.503063:0.180824:0.503063:0.000000
}:@0.327992:0.522206:0.335898:0.522206:0.335898:0.503063:0.327992:0.503063:0.000000
(:@0.209469:0.607976:0.214954:0.607976:0.214954:0.589532:0.209469:0.589532:0.000000
):@0.249032:0.607976:0.254517:0.607976:0.254517:0.589532:0.249032:0.589532:0.000000
(:@0.277543:0.616707:0.283028:0.616707:0.283028:0.598263:0.277543:0.598263:0.000000
) (:@0.306812:0.616707:0.335884:0.616707:0.335884:0.598263:0.306812:0.598263:0.000000:0.000000:0.000000
) ( ):@0.360030:0.616707:0.411189:0.616707:0.411189:0.598263:0.360030:0.598263:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.169634:0.491353:0.178676:0.491353:0.178676:0.477380:0.169634:0.477380:0.000000
+:@0.197387:0.483709:0.206430:0.483709:0.206430:0.469736:0.197387:0.469736:0.000000
+:@0.223889:0.483709:0.232932:0.483709:0.232932:0.469736:0.223889:0.469736:0.000000
+:@0.250029:0.483709:0.259071:0.483709:0.259071:0.469736:0.250029:0.469736:0.000000
+:@0.276530:0.483709:0.285573:0.483709:0.285573:0.469736:0.276530:0.469736:0.000000
+:@0.302670:0.483709:0.311712:0.483709:0.311712:0.469736:0.302670:0.469736:0.000000
+:@0.329517:0.483709:0.338560:0.483709:0.338560:0.469736:0.329517:0.469736:0.000000
=:@0.358655:0.491353:0.367697:0.491353:0.367697:0.477380:0.358655:0.477380:0.000000
=:@0.397279:0.491353:0.406322:0.491353:0.406322:0.477380:0.397279:0.477380:0.000000
=:@0.169996:0.519423:0.179039:0.519423:0.179039:0.505450:0.169996:0.505450:0.000000
−:@0.202889:0.519423:0.211931:0.519423:0.211931:0.505450:0.202889:0.505450:0.000000
∈:@0.242320:0.519423:0.254064:0.519423:0.254064:0.505450:0.242320:0.505450:0.000000
= ⋅⋅⋅:@0.278260:0.519423:0.313129:0.519423:0.313129:0.505450:0.278260:0.505450:0.000000:0.000000:0.000000:0.000000:0.000000
=:@0.169996:0.541003:0.179039:0.541003:0.179039:0.527030:0.169996:0.527030:0.000000
−:@0.213990:0.541003:0.223033:0.541003:0.223033:0.527030:0.213990:0.527030:0.000000
−:@0.242057:0.541003:0.251099:0.541003:0.251099:0.527030:0.242057:0.527030:0.000000
=:@0.178627:0.569644:0.187669:0.569644:0.187669:0.555671:0.178627:0.555671:0.000000
+:@0.221155:0.560597:0.230197:0.560597:0.230197:0.546624:0.221155:0.546624:0.000000
+:@0.252170:0.560597:0.261212:0.560597:0.261212:0.546624:0.252170:0.546624:0.000000
++:@0.285211:0.560597:0.319091:0.560597:0.319091:0.546624:0.285211:0.546624:0.000000:0.000000
+:@0.374417:0.560597:0.383460:0.560597:0.383460:0.546624:0.374417:0.546624:0.000000
=:@0.178754:0.623084:0.187796:0.623084:0.187796:0.609111:0.178754:0.609111:0.000000
−:@0.228661:0.605376:0.237703:0.605376:0.237703:0.591403:0.228661:0.591403:0.000000
=:@0.264749:0.623084:0.273791:0.623084:0.273791:0.609111:0.264749:0.609111:0.000000
−:@0.283262:0.614100:0.292305:0.614100:0.292305:0.600127:0.283262:0.600127:0.000000
+ −:@0.319877:0.614100:0.345177:0.614100:0.345177:0.600127:0.319877:0.600127:0.000000:0.000000:0.000000
+ −:@0.373111:0.614100:0.398378:0.614100:0.398378:0.600127:0.373111:0.600127:0.000000:0.000000:0.000000
+:@0.418736:0.614100:0.427778:0.614100:0.427778:0.600127:0.418736:0.600127:0.000000
++:@0.444760:0.614100:0.478740:0.614100:0.478740:0.600127:0.444760:0.600127:0.000000:0.000000
+:@0.501865:0.614100:0.510907:0.614100:0.510907:0.600127:0.501865:0.600127:0.000000
=:@0.538628:0.622005:0.547671:0.622005:0.547671:0.608032:0.538628:0.608032:0.000000
=:@0.577252:0.622005:0.586295:0.622005:0.586295:0.608032:0.577252:0.608032:0.000000
=:@0.196982:0.616920:0.202216:0.616920:0.202216:0.608832:0.196982:0.608832:0.000000
2.5 Desviación estándar:@0.073092:0.670244:0.260330:0.670244:0.260330:0.653297:0.073092:0.653297:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Definición:@0.073092:0.694947:0.158284:0.694947:0.158284:0.677229:0.073092:0.677229:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
.:@0.158284:0.694947:0.161633:0.694947:0.161633:0.677766:0.158284:0.677766:0.000000
 Sea    = { , ...,  } un conjunto de n datos reales (  > 2).:@0.161633:0.694947:0.581326:0.694947:0.581326:0.677766:0.161633:0.677766:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.201372:0.694947:0.210840:0.694947:0.210840:0.677795:0.201372:0.677795:0.000000
x:@0.235838:0.694947:0.243631:0.694947:0.243631:0.677795:0.235838:0.677795:0.000000
1:@0.243629:0.697660:0.248628:0.697660:0.248628:0.688515:0.243629:0.688515:0.000000
x:@0.273799:0.694947:0.281592:0.694947:0.281592:0.677795:0.273799:0.677795:0.000000
n:@0.281592:0.697660:0.286877:0.697660:0.286877:0.688530:0.281592:0.688530:0.000000
n:@0.533659:0.694947:0.543589:0.694947:0.543589:0.677795:0.533659:0.677795:0.000000
a.  La desviación estándar de la población  se denota   (que se lee sigma) y se :@0.104636:0.722152:0.710434:0.722152:0.710434:0.705718:0.104636:0.705718:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X :@0.429427:0.722152:0.441852:0.722152:0.441852:0.705746:0.429427:0.705746:0.000000:0.000000
s:@0.521132:0.721597:0.532379:0.721597:0.532379:0.707882:0.521132:0.707882:0.000000
define como::@0.134764:0.738794:0.230463:0.738794:0.230463:0.722360:0.134764:0.722360:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
,:@0.308731:0.802126:0.311483:0.802126:0.311483:0.785583:0.308731:0.785583:0.000000
1:@0.268725:0.878086:0.277212:0.878086:0.277212:0.861543:0.268725:0.861543:0.000000
,:@0.305481:0.867067:0.308233:0.867067:0.308233:0.850524:0.305481:0.850524:0.000000
2:@0.297474:0.771649:0.302386:0.771649:0.302386:0.762074:0.297474:0.762074:0.000000
1:@0.232470:0.794777:0.237382:0.794777:0.237382:0.785202:0.232470:0.785202:0.000000
2:@0.294232:0.834451:0.299144:0.834451:0.299144:0.824876:0.294232:0.824876:0.000000
1:@0.232470:0.859702:0.237382:0.859702:0.237382:0.850127:0.232470:0.850127:0.000000
x:@0.249638:0.782463:0.257105:0.782463:0.257105:0.765949:0.249638:0.765949:0.000000
n:@0.257220:0.813273:0.266573:0.813273:0.266573:0.796759:0.257220:0.796759:0.000000
x:@0.249638:0.847391:0.257105:0.847391:0.257105:0.830878:0.249638:0.830878:0.000000
x:@0.278870:0.847391:0.286337:0.847391:0.286337:0.830878:0.278870:0.830878:0.000000
n:@0.244924:0.878201:0.254276:0.878201:0.254276:0.861687:0.244924:0.861687:0.000000
i:@0.257992:0.784639:0.260186:0.784639:0.260186:0.775081:0.257992:0.775081:0.000000
i:@0.223429:0.794844:0.225624:0.794844:0.225624:0.785285:0.223429:0.785285:0.000000
n:@0.227138:0.765338:0.232552:0.765338:0.232552:0.755780:0.227138:0.755780:0.000000
i:@0.257992:0.849568:0.260186:0.849568:0.260186:0.840009:0.257992:0.840009:0.000000
i:@0.223429:0.859772:0.225624:0.859772:0.225624:0.850214:0.223429:0.850214:0.000000
n:@0.227138:0.830267:0.232552:0.830267:0.232552:0.820708:0.227138:0.820708:0.000000
∑:@0.219256:0.788019:0.239838:0.788019:0.239838:0.763532:0.219256:0.763532:0.000000
∑:@0.219256:0.852948:0.239838:0.852948:0.239838:0.828460:0.219256:0.828460:0.000000
(:@0.241377:0.852555:0.247785:0.852555:0.247785:0.823496:0.241377:0.823496:0.000000
):@0.287966:0.852555:0.294375:0.852555:0.294375:0.823496:0.287966:0.823496:0.000000
=:@0.190285:0.802764:0.200850:0.802764:0.200850:0.786438:0.190285:0.786438:0.000000
−:@0.264644:0.782988:0.275209:0.782988:0.275209:0.766662:0.264644:0.766662:0.000000
=:@0.190285:0.867702:0.200850:0.867702:0.200850:0.851377:0.190285:0.851377:0.000000
−:@0.264644:0.847912:0.275209:0.847912:0.275209:0.831586:0.264644:0.831586:0.000000
−:@0.256426:0.878721:0.266991:0.878721:0.266991:0.862396:0.256426:0.862396:0.000000
=:@0.226198:0.795146:0.232313:0.795146:0.232313:0.785697:0.226198:0.785697:0.000000
=:@0.226198:0.860074:0.232313:0.860074:0.232313:0.850625:0.226198:0.850625:0.000000
 donde   es la media de la población.:@0.317451:0.800383:0.605897:0.800383:0.605897:0.783202:0.317451:0.783202:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
m:@0.376702:0.799803:0.389538:0.799803:0.389538:0.785464:0.376702:0.785464:0.000000
b.  La desviación estándar de la muestra   se denota  , y se define como:@0.104636:0.829474:0.636545:0.829474:0.636545:0.813041:0.104636:0.813041:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.405516:0.829474:0.414572:0.829474:0.414572:0.813068:0.405516:0.813068:0.000000
s:@0.494147:0.828920:0.505394:0.828920:0.505394:0.815204:0.494147:0.815204:0.000000
,:@0.452951:0.825695:0.455703:0.825695:0.455703:0.809152:0.452951:0.809152:0.000000
1:@0.412946:0.901655:0.421432:0.901655:0.421432:0.885112:0.412946:0.885112:0.000000
,:@0.449702:0.890636:0.452454:0.890636:0.452454:0.874094:0.449702:0.874094:0.000000
2:@0.441695:0.795220:0.446607:0.795220:0.446607:0.785645:0.441695:0.785645:0.000000
1:@0.376691:0.818348:0.381603:0.818348:0.381603:0.808773:0.376691:0.808773:0.000000
2:@0.438453:0.858021:0.443365:0.858021:0.443365:0.848446:0.438453:0.848446:0.000000
1:@0.376691:0.883271:0.381603:0.883271:0.381603:0.873696:0.376691:0.873696:0.000000
x:@0.393859:0.806034:0.401326:0.806034:0.401326:0.789520:0.393859:0.789520:0.000000
n:@0.401441:0.836843:0.410794:0.836843:0.410794:0.820330:0.401441:0.820330:0.000000
x:@0.393859:0.870962:0.401326:0.870962:0.401326:0.854449:0.393859:0.854449:0.000000
x:@0.423091:0.870962:0.430557:0.870962:0.430557:0.854449:0.423091:0.854449:0.000000
n:@0.389144:0.901772:0.398497:0.901772:0.398497:0.885258:0.389144:0.885258:0.000000
i:@0.402213:0.808210:0.404407:0.808210:0.404407:0.798652:0.402213:0.798652:0.000000
i:@0.367650:0.818415:0.369845:0.818415:0.369845:0.808856:0.367650:0.808856:0.000000
n:@0.371359:0.788909:0.376773:0.788909:0.376773:0.779351:0.371359:0.779351:0.000000
i:@0.402213:0.873139:0.404407:0.873139:0.404407:0.863580:0.402213:0.863580:0.000000
i:@0.367650:0.883343:0.369845:0.883343:0.369845:0.873785:0.367650:0.873785:0.000000
n:@0.371359:0.853837:0.376773:0.853837:0.376773:0.844279:0.371359:0.844279:0.000000
∑:@0.363477:0.811589:0.384058:0.811589:0.384058:0.787101:0.363477:0.787101:0.000000
∑:@0.363477:0.876518:0.384058:0.876518:0.384058:0.852029:0.363477:0.852029:0.000000
(:@0.385598:0.876126:0.392006:0.876126:0.392006:0.847067:0.385598:0.847067:0.000000
):@0.432187:0.876126:0.438595:0.876126:0.438595:0.847067:0.432187:0.847067:0.000000
=:@0.334506:0.826333:0.345071:0.826333:0.345071:0.810008:0.334506:0.810008:0.000000
−:@0.408864:0.806557:0.419429:0.806557:0.419429:0.790232:0.408864:0.790232:0.000000
=:@0.334506:0.891272:0.345071:0.891272:0.345071:0.874946:0.334506:0.874946:0.000000
−:@0.408864:0.871481:0.419429:0.871481:0.419429:0.855156:0.408864:0.855156:0.000000
−:@0.400647:0.902291:0.411212:0.902291:0.411212:0.885965:0.400647:0.885965:0.000000
=:@0.370418:0.818715:0.376533:0.818715:0.376533:0.809266:0.370418:0.809266:0.000000
=:@0.370418:0.883644:0.376533:0.883644:0.376533:0.874195:0.370418:0.874195:0.000000
 :@0.461671:0.889440:0.465886:0.889440:0.465886:0.872260:0.461671:0.872260:0.000000
donde denota la media aritmética de la muestra.:@0.096800:0.927855:0.481896:0.927855:0.481896:0.910674:0.096800:0.910674:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.152801:0.927062:0.159917:0.927062:0.159917:0.911402:0.152801:0.911402:0.000000
 :@0.160866:0.927539:0.164714:0.927539:0.164714:0.911852:0.160866:0.911852:0.000000
b.  La varianza de la muestra   se denota :@0.104633:0.136836:0.418689:0.136836:0.418689:0.120402:0.104633:0.120402:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
X:@0.327337:0.136836:0.336393:0.136836:0.336393:0.120430:0.327337:0.120430:0.000000
s:@0.419355:0.136281:0.430602:0.136281:0.430602:0.122566:0.419355:0.122566:0.000000
2  :@0.430660:0.130772:0.441022:0.130772:0.441022:0.121191:0.430660:0.121191:0.000000:0.000000:0.000000
(que se lee sigma al  cuadrado) y se :@0.441415:0.136836:0.710397:0.136836:0.710397:0.120402:0.441415:0.120402:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
define como  :@0.134750:0.178288:0.235235:0.178288:0.235235:0.161854:0.134750:0.161854:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
(:@0.292561:0.166434:0.298328:0.166434:0.298328:0.140281:0.292561:0.140281:0.000000
):@0.334491:0.166434:0.340259:0.166434:0.340259:0.140281:0.334491:0.140281:0.000000
,:@0.353039:0.122606:0.355515:0.122606:0.355515:0.107718:0.353039:0.107718:0.000000
1:@0.317165:0.187096:0.324802:0.187096:0.324802:0.172208:0.317165:0.172208:0.000000
,:@0.350120:0.177168:0.352597:0.177168:0.352597:0.162279:0.350120:0.162279:0.000000
2:@0.248780:0.115345:0.253201:0.115345:0.253201:0.106727:0.248780:0.106727:0.000000
2:@0.343061:0.095180:0.347482:0.095180:0.347482:0.086562:0.343061:0.086562:0.000000
1:@0.284548:0.115995:0.288968:0.115995:0.288968:0.107377:0.284548:0.107377:0.000000
2:@0.248780:0.169925:0.253201:0.169925:0.253201:0.161308:0.248780:0.161308:0.000000
2:@0.340134:0.147834:0.344555:0.147834:0.344555:0.139216:0.340134:0.139216:0.000000
1:@0.284548:0.170552:0.288968:0.170552:0.288968:0.161935:0.284548:0.161935:0.000000
x:@0.299997:0.104910:0.306717:0.104910:0.306717:0.090048:0.299997:0.090048:0.000000
n:@0.306821:0.132626:0.315238:0.132626:0.315238:0.117763:0.306821:0.117763:0.000000
x:@0.299997:0.159480:0.306717:0.159480:0.306717:0.144618:0.299997:0.144618:0.000000
x:@0.326306:0.159480:0.333026:0.159480:0.333026:0.144618:0.326306:0.144618:0.000000
n:@0.295762:0.187201:0.304179:0.187201:0.304179:0.172338:0.295762:0.172338:0.000000
i:@0.307527:0.106860:0.309502:0.106860:0.309502:0.098258:0.307527:0.098258:0.000000
i:@0.276421:0.116052:0.278396:0.116052:0.278396:0.107449:0.276421:0.107449:0.000000
n:@0.279759:0.089482:0.284631:0.089482:0.284631:0.080879:0.279759:0.080879:0.000000
i:@0.307527:0.161440:0.309502:0.161440:0.309502:0.152838:0.307527:0.152838:0.000000
i:@0.276421:0.170617:0.278396:0.170617:0.278396:0.162014:0.276421:0.162014:0.000000
n:@0.279759:0.144065:0.284631:0.144065:0.284631:0.135462:0.279759:0.135462:0.000000
∑:@0.272641:0.109919:0.291164:0.109919:0.291164:0.087880:0.272641:0.087880:0.000000
∑:@0.272641:0.164491:0.291164:0.164491:0.291164:0.142451:0.272641:0.142451:0.000000
=:@0.258298:0.123181:0.267807:0.123181:0.267807:0.108488:0.258298:0.108488:0.000000
−:@0.313513:0.105382:0.323021:0.105382:0.323021:0.090689:0.313513:0.090689:0.000000
=:@0.258298:0.177742:0.267807:0.177742:0.267807:0.163049:0.258298:0.163049:0.000000
−:@0.313513:0.159957:0.323021:0.159957:0.323021:0.145264:0.313513:0.145264:0.000000
−:@0.306117:0.187672:0.315626:0.187672:0.315626:0.172979:0.306117:0.172979:0.000000
=:@0.278901:0.116325:0.284404:0.116325:0.284404:0.107821:0.278901:0.107821:0.000000
=:@0.278901:0.170887:0.284404:0.170887:0.284404:0.162382:0.278901:0.162382:0.000000
 donde :@0.352724:0.178293:0.408958:0.178293:0.408958:0.161859:0.352724:0.161859:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.409790:0.177658:0.416906:0.177658:0.416906:0.161998:0.409790:0.161998:0.000000
 es :@0.417784:0.178134:0.440345:0.178134:0.440345:0.162448:0.417784:0.162448:0.000000:0.000000:0.000000:0.000000
la media aritmética de la muestra.:@0.440245:0.178293:0.684502:0.178293:0.684502:0.161859:0.440245:0.161859:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Aprende la siguiente :@0.751863:0.835051:0.900617:0.832116:0.900072:0.816434:0.751318:0.819369:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
simbología::@0.752415:0.850931:0.833247:0.849336:0.832702:0.833654:0.751870:0.835249:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.752953:0.866414:0.765477:0.866167:0.764913:0.849956:0.752390:0.850203:0.000000
 : sumatoria.:@0.765491:0.866564:0.849151:0.864913:0.848605:0.849231:0.764946:0.850882:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.754500:0.883455:0.761614:0.883314:0.761070:0.867659:0.753956:0.867800:0.000000
 : media aritmética.:@0.762543:0.882513:0.894311:0.879913:0.893765:0.864232:0.761998:0.866831:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
s:@0.754052:0.898041:0.764784:0.897830:0.764329:0.884742:0.753597:0.884954:0.000000
 : letra griega sigma :@0.764802:0.898359:0.904352:0.895606:0.903807:0.879924:0.764257:0.882678:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
designada para la :@0.754622:0.914451:0.881315:0.911951:0.880770:0.896269:0.754077:0.898769:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
varianza.:@0.755174:0.930331:0.815561:0.929139:0.815016:0.913458:0.754629:0.914649:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Simbología :@0.751403:0.801785:0.836693:0.801785:0.836693:0.786378:0.751403:0.786378:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática:@0.751403:0.816914:0.836554:0.816914:0.836554:0.801507:0.751403:0.801507:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La varianza de una :@0.742665:0.182034:0.865719:0.182034:0.865719:0.167094:0.742665:0.167094:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
muestra tiene una :@0.742665:0.197163:0.863885:0.197163:0.863885:0.182223:0.742665:0.182223:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desventaja,  :@0.742665:0.212292:0.821950:0.212292:0.821950:0.197352:0.742665:0.197352:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
pues se deben calcular los :@0.742665:0.227421:0.915241:0.227421:0.915241:0.212481:0.742665:0.212481:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desvíos   –  , i = 1, ...  . Se :@0.742665:0.242550:0.911541:0.242550:0.911541:0.227610:0.742665:0.227610:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
x:@0.794071:0.242550:0.800849:0.242550:0.800849:0.227635:0.794071:0.227635:0.000000
i:@0.800619:0.245434:0.802629:0.245434:0.802629:0.236738:0.800619:0.236738:0.000000
x:@0.818426:0.243490:0.825542:0.243490:0.825542:0.227830:0.818426:0.227830:0.000000
n:@0.877645:0.242550:0.886280:0.242550:0.886280:0.227635:0.877645:0.227635:0.000000
demuestra que la varianza :@0.742653:0.257679:0.915392:0.257679:0.915392:0.242739:0.742653:0.242739:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
puede calcularse con la :@0.742653:0.272808:0.897492:0.272808:0.897492:0.257868:0.742653:0.257868:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
fórmula.:@0.742653:0.287937:0.795738:0.287937:0.795738:0.272997:0.742653:0.272997:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Competencia :@0.742665:0.140837:0.851225:0.140837:0.851225:0.123890:0.742665:0.123890:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
matemática :@0.742665:0.157478:0.840141:0.157478:0.840141:0.140531:0.742665:0.140531:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Interdisciplinaria :@0.740294:0.366230:0.863703:0.366230:0.863703:0.350824:0.740294:0.350824:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Estadística e :@0.740294:0.381359:0.824314:0.381359:0.824314:0.366419:0.740294:0.366419:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
historia:@0.740294:0.396488:0.788641:0.396488:0.788641:0.381548:0.740294:0.381548:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El uso de la estadística data al :@0.742687:0.425746:0.915831:0.425746:0.915831:0.412300:0.742687:0.412300:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
siglo V a. C. Cuenta la historia :@0.742687:0.439362:0.912501:0.439362:0.912501:0.425916:0.742687:0.425916:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
que los atenienses calculaban :@0.742687:0.452978:0.918814:0.452978:0.918814:0.439532:0.742687:0.439532:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la altura de la muralla de :@0.742687:0.466594:0.887056:0.466594:0.887056:0.453148:0.742687:0.453148:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Platea contando el número :@0.742687:0.480210:0.904042:0.480210:0.904042:0.466764:0.742687:0.466764:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de ladrillos de una sección :@0.742687:0.493826:0.899114:0.493826:0.899114:0.480380:0.742687:0.480380:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
expuesta de la muralla que :@0.742687:0.507442:0.902222:0.507442:0.902222:0.493996:0.742687:0.493996:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
estuviera lo suficientemente :@0.742687:0.521058:0.909591:0.521058:0.909591:0.507613:0.742687:0.507613:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
cerca como para contarlos. :@0.742687:0.534674:0.902085:0.534674:0.902085:0.521229:0.742687:0.521229:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El conteo era repetido varias :@0.742687:0.548290:0.909686:0.548290:0.909686:0.534845:0.742687:0.534845:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
veces por diferentes soldados. :@0.742687:0.561906:0.919784:0.561906:0.919784:0.548461:0.742687:0.548461:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
El valor más frecuente (la :@0.742687:0.575523:0.889644:0.575523:0.889644:0.562077:0.742687:0.562077:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
moda en términos más :@0.742687:0.589139:0.881005:0.589139:0.881005:0.575693:0.742687:0.575693:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
modernos) era tomado :@0.742687:0.602755:0.881186:0.602755:0.881186:0.589309:0.742687:0.589309:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
como el valor del número :@0.742687:0.616371:0.895877:0.616371:0.895877:0.602925:0.742687:0.602925:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de ladrillos más probable. :@0.742687:0.629987:0.893847:0.629987:0.893847:0.616541:0.742687:0.616541:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Multiplicar este valor por la :@0.742687:0.643603:0.901563:0.643603:0.901563:0.630157:0.742687:0.630157:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
altura de los ladrillos usados :@0.742687:0.657219:0.907549:0.657219:0.907549:0.643773:0.742687:0.643773:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en la muralla les permitía a :@0.742687:0.670835:0.900258:0.670835:0.900258:0.657389:0.742687:0.657389:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
los atenienses determinar :@0.742687:0.684451:0.894917:0.684451:0.894917:0.671005:0.742687:0.671005:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la altura de las escaleras :@0.742687:0.698067:0.882915:0.698067:0.882915:0.684621:0.742687:0.684621:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
necesarias para trepar las :@0.742687:0.711683:0.890510:0.711683:0.890510:0.698237:0.742687:0.698237:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
murallas.:@0.742687:0.725299:0.793903:0.725299:0.793903:0.711853:0.742687:0.711853:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
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