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``

Población y muestras

1.-Primero, en lugar de tomar una muestra aleatoria, muestrear a los estudiantes que estudian negocios. (192). Hacer el análisis descriptivo respectivo. (Muestreo enmarcado) cluster de Negocios.

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Población.

Consideraciones

X Facultad Mano Sexo Razonamiento.verbal Edad
1 Social izquierda masculino 470 18.83
2 Social derecha femenino 650 18.67
3 Social derecha masculino 580 20.08
4 Social derecha femenino 660 18.5
5 Social derecha femenino 790 24.25
## 'data.frame':    1129 obs. of  6 variables:
##  $ X                  : int  1 2 3 4 5 6 7 8 9 10 ...
##  $ Facultad           : chr  " Social" " Social" " Social" " Social" ...
##  $ Mano               : chr  "izquierda" "derecha" "derecha" "derecha" ...
##  $ Sexo               : chr  "masculino" "femenino" "masculino" "femenino" ...
##  $ Razonamiento.verbal: num  470 650 580 660 790 640 660 560 560 540 ...
##  $ Edad               : num  18.8 18.7 20.1 18.5 24.2 ...
##        X          Facultad             Mano               Sexo          
##  Min.   :   1   Length:1129        Length:1129        Length:1129       
##  1st Qu.: 283   Class :character   Class :character   Class :character  
##  Median : 565   Mode  :character   Mode  :character   Mode  :character  
##  Mean   : 565                                                           
##  3rd Qu.: 847                                                           
##  Max.   :1129                                                           
##                                                                         
##  Razonamiento.verbal      Edad      
##  Min.   :300.0       Min.   :17.67  
##  1st Qu.:540.0       1st Qu.:19.08  
##  Median :590.0       Median :19.67  
##  Mean   :588.8       Mean   :20.37  
##  3rd Qu.:640.0       3rd Qu.:20.67  
##  Max.   :800.0       Max.   :74.17  
##  NA's   :131         NA's   :6
## [1] "X"                   "Facultad"            "Mano"               
## [4] "Sexo"                "Razonamiento.verbal" "Edad"

Variables Categóricas

## [1] "table"
## x
##   derecha izquierda 
##       979       150
## x
##   derecha izquierda 
## 0.8671391 0.1328609
##  table [1:2(1d)] 0.867 0.133
##  - attr(*, "dimnames")=List of 1
##   ..$ x: chr [1:2] "derecha" "izquierda"

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Variables discretas

## x
## 300 340 350 390 400 410 420 425 430 440 450 460 470 480 490 495 500 510 
##   1   2   1   1   8   3   5   1   4   5  10   7   6  15  15   1  46  21 
## 520 530 535 540 550 555 560 570 580 590 595 600 610 620 625 630 635 640 
##  41  32   2  52  61   2  50  25  57  46   1 100  30  46   2  30   1  37 
## 643 650 660 670 675 680 690 700 710 720 730 740 750 760 770 780 790 800 
##   1  45  26  31   2  26  16  23   8  16   7   5   8   5   1   2   4   5
## [1] "table"
## x
##         300         340         350         390         400         410 
## 0.001002004 0.002004008 0.001002004 0.001002004 0.008016032 0.003006012 
##         420         425         430         440         450         460 
## 0.005010020 0.001002004 0.004008016 0.005010020 0.010020040 0.007014028 
##         470         480         490         495         500         510 
## 0.006012024 0.015030060 0.015030060 0.001002004 0.046092184 0.021042084 
##         520         530         535         540         550         555 
## 0.041082164 0.032064128 0.002004008 0.052104208 0.061122244 0.002004008 
##         560         570         580         590         595         600 
## 0.050100200 0.025050100 0.057114228 0.046092184 0.001002004 0.100200401 
##         610         620         625         630         635         640 
## 0.030060120 0.046092184 0.002004008 0.030060120 0.001002004 0.037074148 
##         643         650         660         670         675         680 
## 0.001002004 0.045090180 0.026052104 0.031062124 0.002004008 0.026052104 
##         690         700         710         720         730         740 
## 0.016032064 0.023046092 0.008016032 0.016032064 0.007014028 0.005010020 
##         750         760         770         780         790         800 
## 0.008016032 0.005010020 0.001002004 0.002004008 0.004008016 0.005010020
## [1] 300 540 590 640 800
## [1] 588.7806
## [1] 590
## 35% 50% 90% 
## 560 590 683
## [1] 76.08147
## [1] 5788.39
## [1] 300 800
## [1] 100
## [1] 300
## [1] 346
## [1] 300
## [1] 470 650 560 560 540

## 
##   The decimal point is 2 digit(s) to the right of the |
## 
##   3 | 044
##   3 | 59
##   4 | 00000000111222223333344444
##   4 | 55555555556666666777777888888888888888999999999999999
##   5 | 00000000000000000000000000000000000000000000000111111111111111111111+115
##   5 | 55555555555555555555555555555555555555555555555555555555555556666666+161
##   6 | 00000000000000000000000000000000000000000000000000000000000000000000+168
##   6 | 55555555555555555555555555555555555555555555566666666666666666666666+66
##   7 | 00000000000000000000000111111112222222222222222333333344444
##   7 | 55555555666667889999
##   8 | 00000
## x
##          300          340          350          390          400 
## 0.0008857396 0.0017714792 0.0008857396 0.0008857396 0.0070859167 
##          410          420          425          430          440 
## 0.0026572188 0.0044286980 0.0008857396 0.0035429584 0.0044286980 
##          450          460          470          480          490 
## 0.0088573959 0.0062001771 0.0053144376 0.0132860939 0.0132860939 
##          495          500          510          520          530 
## 0.0008857396 0.0407440213 0.0186005314 0.0363153233 0.0283436670 
##          535          540          550          555          560 
## 0.0017714792 0.0460584588 0.0540301151 0.0017714792 0.0442869796 
##          570          580          590          595          600 
## 0.0221434898 0.0504871568 0.0407440213 0.0008857396 0.0885739593 
##          610          620          625          630          635 
## 0.0265721878 0.0407440213 0.0017714792 0.0265721878 0.0008857396 
##          640          643          650          660          670 
## 0.0327723649 0.0008857396 0.0398582817 0.0230292294 0.0274579274 
##          675          680          690          700          710 
## 0.0017714792 0.0230292294 0.0141718335 0.0203720106 0.0070859167 
##          720          730          740          750          760 
## 0.0141718335 0.0062001771 0.0044286980 0.0070859167 0.0044286980 
##          770          780          790          800 
## 0.0008857396 0.0017714792 0.0035429584 0.0044286980
##  table [1:54(1d)] 0.000886 0.001771 0.000886 0.000886 0.007086 ...
##  - attr(*, "dimnames")=List of 1
##   ..$ x: chr [1:54] "300" "340" "350" "390" ...
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
##   300.0   540.0   590.0   588.8   640.0   800.0     131

##  [1] 290 310 330 350 370 390 410 430 450 470 490 510 530 550 570 590 610
## [18] 630 650 670 690 710 730 750 770 790 810 830 850

## integer(0)
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Variables continuas

## [1] 17.67 19.08 19.67 20.67 74.17
## [1] 20.3749
## [1] 19.67
##   35%   50%   90% 
## 19.33 19.67 22.17
## [1] 3.188835
## [1] 10.16867
## [1] 17.67 74.17
## [1] 1.59
## [1] 17.67
## [1] 674
## [1] 17.67
## [1] 18.83 18.67 19.25 18.50 19.08

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   1 | 88888888888888888888888888888888888888888888888888888888888888888999+379
##   2 | 00000000000000000000000000000000000000000000000000000000000000000000+536
##   2 | 555555555555556666666788899
##   3 | 000111223444
##   3 | 57
##   4 | 04
##   4 | 556
##   5 | 1
##   5 | 
##   6 | 
##   6 | 
##   7 | 4
## [1] 19.67