Including Plots
## [1] "PUNTO 2.1"
## [1] "oPERACION X+1"
## [1] 2 4 6 8 10
## [1] "oPERACION Y*2"
## [1] 4 8 12 14 22 24
## [1] "TAMAÑO DEL VECTOR X"
## [1] 5
## [1] "TAMAÑO DEL VECTOR Y"
## [1] 6
## [1] "SUMA VECTORES X+Y"
## Warning in x + y: longitud de objeto mayor no es múltiplo de la longitud de uno
## menor
## [1] 3 7 11 14 20 13
## [1] "FUNCION SUMA"
## [1] 2
## [1] 16
## [1] 3
## [1] "FUNCIONES"
## [1] 4
## [1] 2 6 7 11 12
## [1] 2 6 11 NA NA
## [1] "FUNCIONES"
## [1] 11 12
## [1] "PUNTO 2.2"
## [1] 104972.8 105655.0 106190.8 106216.5 107074.1 107572.9 107843.2 108522.2
## [9] 107735.4 107806.2
## [1] "DIFERENCIA ENTRE DATOS MILLA"
## [1] 424 333 16 533 310 168 422 -489 44
## [1] "DIFERENCIA ENTRE DATOS KM"
## [1] 682.216 535.797 25.744 857.597 498.790 270.312 678.998 -786.801
## [9] 70.796
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 104973 106197 107324 106959 107789 108522
## [1] "PUNTO 2.3"
## [1] "FACTURA ULTIMO AÑO"
## [1] 478
## [1] "PROMEDIO DE PAGO POR MES"
## [1] 39.83333
## [1] "PAGO MINIMO Y MAXIMO"
## [1] "Pago maximo: 49"
## [1] "Pago mimino: 30"
## [1] "PAGO POR MES"
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## mes "Jan" "Feb" "March" "April" "May" "June" "July" "Aug" "Sep" "Oct"
## telefono "47" "32" "40" "36" "49" "31" "49" "30" "49" "35"
## [,11] [,12]
## mes "Nov" "Dic"
## telefono "48" "32"
## mes telefono
## [1,] "Jan" "47"
## [2,] "Feb" "32"
## [3,] "March" "40"
## [4,] "April" "36"
## [5,] "May" "49"
## [6,] "June" "31"
## [7,] "July" "49"
## [8,] "Aug" "30"
## [9,] "Sep" "49"
## [10,] "Oct" "35"
## [11,] "Nov" "48"
## [12,] "Dic" "32"
## [1] "MESES DE PAGO MAYOR A 40"
## [1] 5
## [1] "Valor total del pago anual es: 478"
## [1] "Valor total del precio mayor a 40 es: 242"
## [1] "porcentaje de pagos mayores a 40 es: 50.63"
## [1] "PUNTO 2.4"
## [1] "FUNCION SUMMARY"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 5.00 15.00 61.00 54.13 87.50 99.00
## [1] "FUNCION FIVENUM"
## [1] 5.0 15.0 61.0 87.5 99.0
## [1] "PUNTO 2.5"
## [1] "100 VALORES DISTRI NORM"
## [1] -0.66833703 -0.44477922 0.43823871 0.70287934 2.58460237 -1.04289686
## [7] -0.87738983 0.65383129 -0.85186213 -0.95193311 -0.40296502 -1.91380501
## [13] -1.27826732 0.34650151 0.40896567 0.85639276 -0.56093823 0.78205397
## [19] -0.49067723 -0.12493033 1.27131453 1.54315176 -1.77126344 -1.23667367
## [25] -1.51781403 0.04059187 -0.51018753 0.15922717 0.35267589 -0.48029627
## [31] 1.83899814 -0.44886948 1.74783070 -0.01049514 0.53114869 2.01226615
## [37] 0.05656453 -0.32153276 -0.40242068 0.13057275 -0.81728993 -0.72733217
## [43] -1.11890467 -0.24373338 1.13193806 3.05871241 0.06308144 1.20159306
## [49] -0.95425421 1.49483573 1.78964207 -1.16323376 -0.63376904 -0.28237073
## [55] -0.06301134 1.33497483 0.84273453 1.43868902 0.03693229 0.06856323
## [61] 0.68228526 0.90596885 0.34356231 1.07111942 -0.79448882 -0.51166182
## [67] 0.99493798 -0.51687824 0.06106625 0.11394952 -1.21446084 0.10972151
## [73] -0.09192931 -0.41589653 -1.00242992 1.01703987 -0.05404627 0.09339915
## [79] 0.84430803 -0.80028165 0.24111315 -2.39212418 -0.87027451 2.89997368
## [85] -0.32215054 0.06791093 -0.41254706 -0.42157427 -1.38019725 -0.86983749
## [91] -1.01239400 -0.32211838 1.34418500 0.48802278 -0.44109374 1.24044335
## [97] 0.31304260 -0.37817109 0.61396792 -0.22209113
## [1] "HISTOGRAMA"
## [1] "RESUMEN DE LOS DATOS"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.39212 -0.57915 -0.03227 0.05607 0.68743 3.05871
## [1] "PUNTO 2.6"
## [1] "DATOS BINOMIALES"
## [1] 25 28 26 27 27
## [1] "RESUMEN DATOS Norm"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 25.0 26.0 27.0 26.6 27.0 28.0
## [1] "RESUMEN DATOS Binarios"
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -2.39212 -0.57915 -0.03227 0.05607 0.68743 3.05871
## [1] "PUNTO 2.7"
## [1] 0.4545455
## [1] 1 3 5 9 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.0000 0.0000 0.0000 0.4545 1.0000 3.0000 1
## [1] "DATOS ERRORES"
## [1] "numero medio de errores"
## [1] 0.4545455
## [1] "posicion del error"
## [1] 4
## [1] "valores NA?"
## [1] FALSE
## [1] "logica del error"
## [1] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [1] "PUNTO 2.8"
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## estudiante 1 2 3 4 5 6 7 8 9 10
## p1 3 3 3 4 3 4 3 4 4 3
## p2 5 5 2 2 5 2 2 5 5 2
## p3 1 3 1 3 3 3 1 3 1 1
## S1 S2 S3 S4 S5 S6 S7 S8 S9 S10
## estudiante 1 2 3 4 5 6 7 8 9 10
## p1 3 3 3 4 3 4 3 4 4 3
## p2 5 5 2 2 5 2 2 5 5 2
## p3 1 3 1 3 3 3 1 3 1 1
## [1] "PUNTO 2.9"
## [1] "Vector 01"
## [1] 0.63115925 -0.54275292 -1.50299914 -0.17085680 -0.14682505 -0.63093823
## [7] 2.21124600 -0.72372029 1.42811572 0.77709955 1.03343616 0.71692518
## [13] -0.22506346 0.27289057 -0.83673914 -1.35915956 2.09171334 -0.63165840
## [19] -0.04022096 -0.18417042 0.45718512 1.08145680 1.07735555 1.12672223
## [25] -0.90214104 0.40944796 0.95987580 1.52988707 0.33147806 0.18716195
## [31] -0.71497113 0.14041373 -0.18550809 -2.16916876 -0.44192326 -1.37012043
## [37] -0.36483166 0.45909901 0.98642097 1.26243630 -0.57236325 -0.24920288
## [43] -0.32402975 0.97805368 -1.12306276 -0.20314068 -0.09160811 -0.08395072
## [49] -0.37878447 1.17626658
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v1
## W = 0.98654, p-value = 0.8354
## [1] "Vector 02"
## [1] 0.57878547 1.55349268 -0.92345245 -0.01959746 -0.34626591 -0.92169257
## [7] -0.05773866 1.17915444 0.60859075 0.22499029 0.26589433 -0.44095206
## [13] -0.47511479 -1.21364623 -1.36352691 0.98772093 -0.52056220 0.59069680
## [19] 0.42092396 1.08378287 0.05468632 -0.16568908 -0.67579795 0.98049208
## [25] -1.38967335 0.25381382 0.36063489 -0.84240386 1.02533513 -0.45621802
## [31] -1.45347478 1.11050992 0.13574799 -0.94195118 -0.82633522 -0.45725295
## [37] -0.08263012 0.25439068 -0.21434845 1.50635520 1.17042843 -0.16636142
## [43] -0.24829510 0.16549712 0.02918488 -0.68393136 -0.02627622 0.12103298
## [49] 0.42552978 -1.12263876
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v2
## W = 0.97816, p-value = 0.4771
## [1] "TESTT-STUDENT 1"
##
## Welch Two Sample t-test
##
## data: v2 and v2
## t = 0, df = 98, p-value = 1
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.3085972 0.3085972
## sample estimates:
## mean of x mean of y
## -0.01896311 -0.01896311
## [1] "PUNTO 2.10"
## [1] "Vector 03"
## [1] 1.262954285 -0.326233361 1.329799263 1.272429321 0.414641434
## [6] -1.539950042 -0.928567035 -0.294720447 -0.005767173 2.404653389
## [11] 0.763593461 -0.799009249 -1.147657009 -0.289461574 -0.299215118
## [16] -0.411510833 0.252223448 -0.891921127 0.435683299 -1.237538422
## [21] -0.224267885 0.377395646 0.133336361 0.804189510 -0.057106774
## [26] 0.503607972 1.085769362 -0.690953840 -1.284599354 0.046726172
## [31] -0.235706556 -0.542888255 -0.433310317 -0.649471647 0.726750747
## [36] 1.151911754 0.992160365 -0.429513109 1.238304101 -0.279346282
## [41] 1.757903090 0.560746091 -0.452783973 -0.832043296 -1.166570547
## [46] -1.065590580 -1.563782051 1.156536997 0.832047129 -0.227328691
## [1] "NORMALIDAD SHAPIRO-WILK v3"
##
## Shapiro-Wilk normality test
##
## data: v3
## W = 0.97356, p-value = 0.321
## [1] ""
## [1] "Vector 04"
## [1] 27 26 28 28 22 27 28 29 27 25 27 23 26 28 27 29 30 26 29 27 27 23 27 27 29
## [26] 26 27 27 28 28 27 27 29 30 27 24 27 27 27 23 27 26 27 28 28 26 27 29 26 29
## [1] "NORMALIDAD SHAPIRO-WILK v4"
##
## Shapiro-Wilk normality test
##
## data: v4
## W = 0.88818, p-value = 0.0002001
## [1] "TESTT-STUDENT 2"
##
## Welch Two Sample t-test
##
## data: v3 and v4
## t = -97.28, df = 74.438, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -27.50815 -26.40399
## sample estimates:
## mean of x mean of y
## 0.02393097 26.98000000