33:@0.942817:0.963886:0.964167:0.963886:0.964167:0.945448:0.942817:0.945448:0.000000:0.000000
Desviación media:@0.096359:0.137532:0.280843:0.137532:0.280843:0.115723:0.096359:0.115723:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para determinar la desviación media, utilizamos la fórmula::@0.096359:0.160313:0.524223:0.160313:0.524223:0.144644:0.096359:0.144644:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.261157:0.226782:0.265193:0.226782:0.265193:0.211112:0.261157:0.211112:0.000000
∑:@0.317030:0.202022:0.336738:0.202022:0.336738:0.178663:0.317030:0.178663:0.000000
=:@0.302005:0.215867:0.312121:0.215867:0.312121:0.200294:0.302005:0.200294:0.000000
−:@0.357711:0.197210:0.367828:0.197210:0.367828:0.181637:0.357711:0.181637:0.000000
=:@0.398436:0.215867:0.408553:0.215867:0.408553:0.200294:0.398436:0.200294:0.000000
=:@0.465550:0.215867:0.475667:0.215867:0.475667:0.200294:0.465550:0.200294:0.000000
=:@0.323835:0.208824:0.329698:0.208824:0.329698:0.199799:0.323835:0.199799:0.000000
Dm:@0.272845:0.215190:0.298994:0.215190:0.298994:0.198828:0.272845:0.198828:0.000000:0.000000
x:@0.342262:0.196532:0.349726:0.196532:0.349726:0.180171:0.342262:0.180171:0.000000
x f:@0.372060:0.196532:0.389566:0.196532:0.389566:0.180171:0.372060:0.180171:0.000000:0.000000:0.000000
n:@0.350954:0.225680:0.360462:0.225680:0.360462:0.209319:0.350954:0.209319:0.000000
769,12:@0.412885:0.206231:0.461203:0.206231:0.461203:0.190562:0.412885:0.190562:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
70:@0.427963:0.225680:0.445745:0.225680:0.445745:0.210011:0.427963:0.210011:0.000000:0.000000
10,99.:@0.477801:0.215190:0.521456:0.215190:0.521456:0.199520:0.477801:0.199520:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.350429:0.198530:0.352629:0.198530:0.352629:0.189048:0.350429:0.189048:0.000000
i:@0.389175:0.198530:0.391375:0.198530:0.391375:0.189048:0.389175:0.189048:0.000000
i:@0.320590:0.208429:0.322790:0.208429:0.322790:0.198947:0.320590:0.198947:0.000000
n:@0.324307:0.180255:0.329818:0.180255:0.329818:0.170773:0.324307:0.170773:0.000000
1:@0.329540:0.208429:0.334751:0.208429:0.334751:0.199348:0.329540:0.199348:0.000000
Interpretación: cada valor de la variable difiere de la media aritmética en un :@0.096359:0.250511:0.698700:0.250511:0.698700:0.234841:0.096359:0.234841:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
promedio de 10,99.:@0.096359:0.267107:0.238694:0.267107:0.238694:0.251438:0.096359:0.251438:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Varianza y desviación típica o estándar:@0.096359:0.296301:0.500174:0.296301:0.500174:0.274491:0.096359:0.274491:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
La desviación media se :@0.733044:0.173531:0.890299:0.173531:0.890299:0.159286:0.733044:0.159286:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
calcula así::@0.733044:0.188619:0.803136:0.188619:0.803136:0.174374:0.733044:0.174374:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.733044:0.242268:0.736713:0.242268:0.736713:0.228023:0.733044:0.228023:0.000000
∑:@0.783514:0.228157:0.803222:0.228157:0.803222:0.204797:0.783514:0.204797:0.000000
=:@0.768489:0.242002:0.778605:0.242002:0.778605:0.226429:0.768489:0.226429:0.000000
−:@0.824195:0.223344:0.834312:0.223344:0.834312:0.207772:0.824195:0.207772:0.000000
=:@0.790320:0.234958:0.796183:0.234958:0.796183:0.225933:0.790320:0.225933:0.000000
Dm:@0.739329:0.241324:0.765478:0.241324:0.765478:0.224963:0.739329:0.224963:0.000000:0.000000
x:@0.808748:0.222660:0.816211:0.222660:0.816211:0.206299:0.808748:0.206299:0.000000
x f:@0.838545:0.222660:0.856060:0.222660:0.856060:0.206299:0.838545:0.206299:0.000000:0.000000:0.000000
n:@0.817437:0.251815:0.826946:0.251815:0.826946:0.235453:0.817437:0.235453:0.000000
i:@0.816915:0.224664:0.819115:0.224664:0.819115:0.215182:0.816915:0.215182:0.000000
i:@0.855661:0.224664:0.857860:0.224664:0.857860:0.215182:0.855661:0.215182:0.000000
i:@0.787074:0.234566:0.789274:0.234566:0.789274:0.225083:0.787074:0.225083:0.000000
n:@0.790790:0.206392:0.796301:0.206392:0.796301:0.196910:0.790790:0.196910:0.000000
1:@0.796023:0.234566:0.801235:0.234566:0.801235:0.225484:0.796023:0.225484:0.000000
La varianza se :@0.733044:0.264482:0.828214:0.264482:0.828214:0.250237:0.733044:0.250237:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
determina así::@0.733044:0.279570:0.826286:0.279570:0.826286:0.265324:0.733044:0.265324:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
∑:@0.773250:0.319107:0.792958:0.319107:0.792958:0.295748:0.773250:0.295748:0.000000
σ=:@0.736027:0.332953:0.768350:0.332953:0.768350:0.317380:0.736027:0.317380:0.000000:0.000000
−:@0.813921:0.314296:0.824038:0.314296:0.824038:0.298723:0.813921:0.298723:0.000000
=:@0.780054:0.325910:0.785918:0.325910:0.785918:0.316885:0.780054:0.316885:0.000000
x:@0.798482:0.313612:0.805945:0.313612:0.805945:0.297251:0.798482:0.297251:0.000000
x f:@0.828280:0.313612:0.853065:0.313612:0.853065:0.297251:0.828280:0.297251:0.000000:0.000000:0.000000
n:@0.810837:0.342765:0.820346:0.342765:0.820346:0.326404:0.810837:0.326404:0.000000
.:@0.859576:0.332276:0.862783:0.332276:0.862783:0.316606:0.859576:0.316606:0.000000
i:@0.806649:0.315616:0.808849:0.315616:0.808849:0.306134:0.806649:0.306134:0.000000
i:@0.852668:0.315616:0.854867:0.315616:0.854867:0.306134:0.852668:0.306134:0.000000
i:@0.776809:0.325517:0.779010:0.325517:0.779010:0.316035:0.776809:0.316035:0.000000
n:@0.780526:0.297344:0.786037:0.297344:0.786037:0.287862:0.780526:0.287862:0.000000
2:@0.748177:0.324612:0.753389:0.324612:0.753389:0.315530:0.748177:0.315530:0.000000
2:@0.840268:0.301704:0.845480:0.301704:0.845480:0.292623:0.840268:0.292623:0.000000
1:@0.785770:0.325517:0.790981:0.325517:0.790981:0.316436:0.785770:0.316436:0.000000
La desviación típica es :@0.733044:0.355434:0.884737:0.355434:0.884737:0.341189:0.733044:0.341189:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
la raíz cuadrada de la :@0.733044:0.370522:0.876093:0.370522:0.876093:0.356276:0.733044:0.356276:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
varianza.:@0.733044:0.385609:0.790639:0.385609:0.790639:0.371364:0.733044:0.371364:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.733044:0.455603:0.736713:0.455603:0.736713:0.441358:0.733044:0.441358:0.000000
∑:@0.782154:0.427662:0.801862:0.427662:0.801862:0.404302:0.782154:0.404302:0.000000
σ=:@0.739696:0.441506:0.764739:0.441506:0.764739:0.425933:0.739696:0.425933:0.000000:0.000000
−:@0.822823:0.422849:0.832940:0.422849:0.832940:0.407276:0.822823:0.407276:0.000000
=:@0.788958:0.434463:0.794821:0.434463:0.794821:0.425438:0.788958:0.425438:0.000000
x:@0.807386:0.422165:0.814849:0.422165:0.814849:0.405804:0.807386:0.405804:0.000000
x f:@0.837183:0.422165:0.861969:0.422165:0.861969:0.405804:0.837183:0.405804:0.000000:0.000000:0.000000
n:@0.819732:0.451320:0.829241:0.451320:0.829241:0.434958:0.819732:0.434958:0.000000
.:@0.868787:0.440822:0.871993:0.440822:0.871993:0.425153:0.868787:0.425153:0.000000
i:@0.815553:0.424169:0.817753:0.424169:0.817753:0.414687:0.815553:0.414687:0.000000
i:@0.861571:0.424169:0.863771:0.424169:0.863771:0.414687:0.861571:0.414687:0.000000
i:@0.785713:0.434070:0.787913:0.434070:0.787913:0.424588:0.785713:0.424588:0.000000
n:@0.789430:0.405896:0.794941:0.405896:0.794941:0.396414:0.789430:0.396414:0.000000
2:@0.849161:0.410257:0.854373:0.410257:0.854373:0.401176:0.849161:0.401176:0.000000
1:@0.794663:0.434070:0.799875:0.434070:0.799875:0.424989:0.794663:0.424989:0.000000
Recuerda que...:@0.763096:0.148505:0.885177:0.148505:0.885177:0.131604:0.763096:0.131604:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Para determinar la varianza, aplicamos la fórmula::@0.096359:0.529497:0.455932:0.529497:0.455932:0.513827:0.096359:0.513827:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.261157:0.583394:0.265193:0.583394:0.265193:0.567724:0.261157:0.567724:0.000000
x:@0.326329:0.562612:0.334235:0.562612:0.338828:0.546942:0.330922:0.546942:0.000000
x f:@0.354966:0.562612:0.380635:0.562612:0.385229:0.546942:0.359559:0.546942:0.000000:0.000000:0.000000
n:@0.339418:0.593061:0.349295:0.593061:0.353888:0.577392:0.344011:0.577392:0.000000
11 708,6:@0.405293:0.573613:0.467173:0.573613:0.467173:0.557944:0.405293:0.557944:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
70:@0.427700:0.593061:0.445482:0.593061:0.445482:0.577392:0.427700:0.577392:0.000000:0.000000
167,3.:@0.483036:0.582139:0.526710:0.582139:0.526710:0.566469:0.483036:0.566469:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.335812:0.564616:0.338044:0.564616:0.340706:0.555535:0.338474:0.555535:0.000000
i:@0.382140:0.564616:0.384372:0.564616:0.387034:0.555535:0.384802:0.555535:0.000000
i:@0.306759:0.575813:0.308991:0.575813:0.311653:0.566732:0.309421:0.566732:0.000000
n:@0.309692:0.545916:0.315416:0.545916:0.318078:0.536835:0.312354:0.536835:0.000000
2:@0.280384:0.574477:0.285596:0.574477:0.285596:0.565396:0.280384:0.565396:0.000000
2:@0.369484:0.550431:0.374696:0.550431:0.374696:0.541350:0.369484:0.541350:0.000000
1:@0.315830:0.575815:0.321041:0.575815:0.321041:0.566734:0.315830:0.566734:0.000000
∑:@0.303785:0.567675:0.323494:0.567675:0.323494:0.544315:0.303785:0.544315:0.000000
σ=:@0.267820:0.582817:0.300179:0.582817:0.300179:0.567244:0.267820:0.567244:0.000000:0.000000
−:@0.343723:0.563288:0.353840:0.563288:0.353840:0.547716:0.343723:0.547716:0.000000
=:@0.392310:0.582817:0.402427:0.582817:0.402427:0.567244:0.392310:0.567244:0.000000
=:@0.471512:0.582817:0.481629:0.582817:0.481629:0.567244:0.471512:0.567244:0.000000
=:@0.310800:0.576206:0.316663:0.576206:0.316663:0.567181:0.310800:0.567181:0.000000
Para determinar la desviación típica, extraemos la raíz cuadrada de la varianza::@0.096359:0.607120:0.664865:0.607120:0.664865:0.591451:0.096359:0.591451:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 :@0.256974:0.664793:0.261010:0.664793:0.261010:0.649123:0.256974:0.649123:0.000000
∑:@0.306454:0.649110:0.326162:0.649110:0.326162:0.625751:0.306454:0.625751:0.000000
σ=:@0.263999:0.662955:0.289042:0.662955:0.289042:0.647382:0.263999:0.647382:0.000000:0.000000
−:@0.347126:0.644298:0.357242:0.644298:0.357242:0.628725:0.347126:0.628725:0.000000
=:@0.396604:0.662955:0.406721:0.662955:0.406721:0.647382:0.396604:0.647382:0.000000
=:@0.475548:0.662955:0.485665:0.662955:0.485665:0.647382:0.475548:0.647382:0.000000
=:@0.313261:0.655913:0.319124:0.655913:0.319124:0.646888:0.313261:0.646888:0.000000
x:@0.331688:0.643615:0.339151:0.643615:0.339151:0.627254:0.331688:0.627254:0.000000
x f:@0.361486:0.643615:0.386271:0.643615:0.386271:0.627254:0.361486:0.627254:0.000000:0.000000:0.000000
n:@0.344035:0.672769:0.353543:0.672769:0.353543:0.656408:0.344035:0.656408:0.000000
167,3012,93.:@0.421357:0.662272:0.531075:0.662272:0.531075:0.646602:0.421357:0.646602:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
i:@0.339855:0.645619:0.342055:0.645619:0.342055:0.636137:0.339855:0.636137:0.000000
i:@0.385874:0.645619:0.388074:0.645619:0.388074:0.636137:0.385874:0.636137:0.000000
i:@0.310016:0.655518:0.312216:0.655518:0.312216:0.646036:0.310016:0.646036:0.000000
n:@0.313733:0.627344:0.319243:0.627344:0.319243:0.617862:0.313733:0.617862:0.000000
2:@0.373464:0.631704:0.378676:0.631704:0.378676:0.622623:0.373464:0.622623:0.000000
1:@0.318966:0.655518:0.324177:0.655518:0.324177:0.646436:0.318966:0.646436:0.000000
Las medidas de dispersión sirven para determinar qué tan dispersos están los :@0.096359:0.688517:0.698720:0.688517:0.698720:0.672847:0.096359:0.672847:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos con respecto a la media aritmética.:@0.096359:0.705113:0.396836:0.705113:0.396836:0.689444:0.096359:0.689444:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Propiedades de la varianza y la desviación típica:@0.096359:0.743176:0.546859:0.743176:0.546859:0.723202:0.096359:0.723202:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1. :@0.096359:0.766271:0.115100:0.766271:0.115100:0.749135:0.096359:0.749135:0.000000:0.000000:0.000000
La varianza y la desviación típica siempre son un valor positivo o cero para el :@0.124848:0.766271:0.698757:0.766271:0.698757:0.750601:0.124848:0.750601:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
caso de puntuaciones iguales.:@0.124848:0.782867:0.345165:0.782867:0.345165:0.767198:0.124848:0.767198:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
2. :@0.096359:0.806586:0.115100:0.806586:0.115100:0.789450:0.096359:0.789450:0.000000:0.000000:0.000000
Si a todos los valores de la variable se les suma un número, la varianza y la :@0.124848:0.806586:0.698629:0.806586:0.698629:0.790917:0.124848:0.790917:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
desviación típica no variarán.:@0.124848:0.823183:0.336285:0.823183:0.336285:0.807513:0.124848:0.807513:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3. :@0.096359:0.846902:0.115100:0.846902:0.115100:0.829766:0.096359:0.829766:0.000000:0.000000:0.000000
Si todos los valores de la variable se multiplican por un número, la varianza :@0.124848:0.846902:0.698664:0.846902:0.698664:0.831232:0.124848:0.831232:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
queda multiplicada por el cuadrado de dicho número y la desviación típica :@0.124848:0.863498:0.698701:0.863498:0.698701:0.847828:0.124848:0.847828:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
queda multiplicada por dicho número.:@0.124848:0.880094:0.408114:0.880094:0.408114:0.864425:0.124848:0.864425:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4. :@0.096359:0.903813:0.115100:0.903813:0.115100:0.886678:0.096359:0.886678:0.000000:0.000000:0.000000
Cuanta más pequeña sea la desviación típica, mayor será la concentración de :@0.124848:0.903813:0.698738:0.903813:0.698738:0.888144:0.124848:0.888144:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
datos alrededor de la media.:@0.124848:0.920410:0.333023:0.920410:0.333023:0.904740:0.124848:0.904740:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Shutterstock, 663832300.:@0.920815:0.917063:0.920815:0.841785:0.909426:0.841785:0.909426:0.917063:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Costo de consumo de agua potable:@0.261125:0.337682:0.521439:0.337682:0.521439:0.322104:0.261125:0.322104:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
intervalo:@0.101609:0.374471:0.160377:0.374471:0.160377:0.360226:0.101609:0.360226:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Fi:@0.267190:0.374471:0.277928:0.374471:0.277928:0.360226:0.267190:0.360226:0.000000:0.000000
x:@0.386668:0.374471:0.393855:0.374471:0.393855:0.360226:0.386668:0.360226:0.000000
i:@0.393855:0.377342:0.395896:0.377342:0.395896:0.369037:0.393855:0.369037:0.000000
−:@0.503926:0.373257:0.514043:0.373257:0.514043:0.357685:0.503926:0.357685:0.000000
x:@0.488484:0.372580:0.495947:0.372580:0.495947:0.356219:0.488484:0.356219:0.000000
x:@0.518281:0.372580:0.525745:0.372580:0.525745:0.356219:0.518281:0.356219:0.000000
i:@0.496651:0.374584:0.498851:0.374584:0.498851:0.365101:0.496651:0.365101:0.000000
2:@0.530260:0.360677:0.535471:0.360677:0.535471:0.351596:0.530260:0.351596:0.000000
−:@0.616781:0.373252:0.626897:0.373252:0.626897:0.357680:0.616781:0.357680:0.000000
x:@0.601338:0.372575:0.608801:0.372575:0.608801:0.356213:0.601338:0.356213:0.000000
x f:@0.631136:0.372575:0.655921:0.372575:0.655921:0.356213:0.631136:0.356213:0.000000:0.000000:0.000000
i:@0.609505:0.374579:0.611705:0.374579:0.611705:0.365096:0.609505:0.365096:0.000000
i:@0.655524:0.374579:0.657724:0.374579:0.657724:0.365096:0.655524:0.365096:0.000000
2:@0.643114:0.360670:0.648325:0.360670:0.648325:0.351589:0.643114:0.351589:0.000000
[30 – 40):@0.101610:0.402028:0.158904:0.402028:0.158904:0.387783:0.101610:0.387783:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
10:@0.264394:0.402028:0.280744:0.402028:0.280744:0.387783:0.264394:0.387783:0.000000:0.000000
35:@0.383118:0.402028:0.399468:0.402028:0.399468:0.387783:0.383118:0.387783:0.000000:0.000000
446,90:@0.488122:0.402028:0.531913:0.402028:0.531913:0.387783:0.488122:0.387783:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
4 469:@0.610883:0.402028:0.646583:0.402028:0.646583:0.387783:0.610883:0.387783:0.000000:0.000000:0.000000:0.000000:0.000000
[40 – 50):@0.101627:0.419844:0.158920:0.419844:0.158920:0.405599:0.101627:0.405599:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
14:@0.264410:0.419844:0.280761:0.419844:0.280761:0.405599:0.264410:0.405599:0.000000:0.000000
45:@0.383135:0.419844:0.399485:0.419844:0.399485:0.405599:0.383135:0.405599:0.000000:0.000000
124,10:@0.488139:0.419844:0.531929:0.419844:0.531929:0.405599:0.488139:0.405599:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
1 737,4:@0.605523:0.419844:0.651977:0.419844:0.651977:0.405599:0.605523:0.405599:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
[50 – 60):@0.101644:0.437660:0.157597:0.437660:0.157597:0.423415:0.101644:0.423415:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
15:@0.264511:0.437660:0.280694:0.437660:0.280694:0.423415:0.264511:0.423415:0.000000:0.000000
55:@0.383235:0.437660:0.399418:0.437660:0.399418:0.423415:0.383235:0.423415:0.000000:0.000000
1,30:@0.496582:0.437660:0.523520:0.437660:0.523520:0.423415:0.496582:0.423415:0.000000:0.000000:0.000000:0.000000
19,5:@0.615306:0.437660:0.642244:0.437660:0.642244:0.423415:0.615306:0.423415:0.000000:0.000000:0.000000:0.000000
[60 – 70):@0.101661:0.455476:0.157614:0.455476:0.157614:0.441231:0.101661:0.441231:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
20:@0.264528:0.455476:0.280710:0.455476:0.280710:0.441231:0.264528:0.441231:0.000000:0.000000
65:@0.383252:0.455476:0.399435:0.455476:0.399435:0.441231:0.383252:0.441231:0.000000:0.000000
78,50:@0.492595:0.455476:0.527540:0.455476:0.527540:0.441231:0.492595:0.441231:0.000000:0.000000:0.000000:0.000000:0.000000
1 570:@0.610934:0.455476:0.646633:0.455476:0.646633:0.441231:0.610934:0.441231:0.000000:0.000000:0.000000:0.000000:0.000000
[70 – 80):@0.101678:0.473292:0.157631:0.473292:0.157631:0.459047:0.101678:0.459047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
11:@0.264544:0.473292:0.280727:0.473292:0.280727:0.459047:0.264544:0.459047:0.000000:0.000000
75:@0.383269:0.473292:0.399451:0.473292:0.399451:0.459047:0.383269:0.459047:0.000000:0.000000
355,70:@0.488608:0.473292:0.531561:0.473292:0.531561:0.459047:0.488608:0.459047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
3 912,7:@0.605573:0.473292:0.652027:0.473292:0.652027:0.459047:0.605573:0.459047:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Total:@0.101694:0.491422:0.132954:0.491422:0.132954:0.477177:0.101694:0.477177:0.000000:0.000000:0.000000:0.000000:0.000000
70:@0.264561:0.491422:0.280744:0.491422:0.280744:0.477177:0.264561:0.477177:0.000000:0.000000
11 708,6:@0.601569:0.491422:0.656031:0.491422:0.656031:0.477177:0.601569:0.477177:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Archivo Editorial:@0.623599:0.505287:0.688762:0.505287:0.688762:0.496740:0.623599:0.496740:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Matemática :@0.770807:0.562065:0.859846:0.562065:0.859846:0.546701:0.770807:0.546701:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y Estudios Sociales:@0.745930:0.577153:0.881271:0.577153:0.881271:0.561788:0.745930:0.561788:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Las medidas de :@0.733047:0.592240:0.837900:0.592240:0.837900:0.577995:0.733047:0.577995:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
dispersión son utilizadas :@0.733047:0.607328:0.896951:0.607328:0.896951:0.593083:0.733047:0.593083:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
en ciencias sociales :@0.733047:0.622416:0.865726:0.622416:0.865726:0.608170:0.733047:0.608170:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para describir los datos :@0.733047:0.637503:0.889997:0.637503:0.889997:0.623258:0.733047:0.623258:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de una población, :@0.733047:0.652591:0.857115:0.652591:0.857115:0.638346:0.733047:0.638346:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
para comparar :@0.733047:0.667678:0.834232:0.667678:0.834232:0.653433:0.733047:0.653433:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
muestras y establecer :@0.733047:0.682766:0.881004:0.682766:0.881004:0.668521:0.733047:0.668521:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
conclusiones.:@0.733047:0.697854:0.823073:0.697854:0.823073:0.683608:0.733047:0.683608:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Indaga   escribe :@0.733047:0.720070:0.849426:0.720070:0.849426:0.704957:0.733047:0.704957:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
y:@0.785030:0.720070:0.792401:0.720070:0.792401:0.705825:0.785030:0.705825:0.000000
un :@0.849426:0.720070:0.870970:0.720070:0.870970:0.705825:0.849426:0.705825:0.000000:0.000000:0.000000
ejemplo en el que se :@0.733047:0.735158:0.875912:0.735158:0.875912:0.720912:0.733047:0.720912:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
utilicen las medidas :@0.733047:0.750245:0.868088:0.750245:0.868088:0.736000:0.733047:0.736000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
de dispersión en las :@0.733047:0.765333:0.868289:0.765333:0.868289:0.751088:0.733047:0.751088:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
ciencias sociales.:@0.733047:0.780421:0.844013:0.780421:0.844013:0.766175:0.733047:0.766175:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
Interdisciplinariedad:@0.745640:0.541897:0.898519:0.541897:0.898519:0.524996:0.745640:0.524996:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000
 ©:@0.079553:0.731952:0.079553:0.720342:0.061505:0.720342:0.061505:0.731952:0.000000:0.000000
maya:@0.080774:0.720340:0.080774:0.684191:0.055786:0.684191:0.055786:0.720340:0.000000:0.000000:0.000000:0.000000
®EDUCACIÓN – Libro resuelto solo para fines didácticos – Prohibida su reproducción :@0.079553:0.684191:0.079553:0.268044:0.061505:0.268044:0.061505:0.684191:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000