Caso, Mediciones de personas, peso, estatura y género.
Keyla Pineda
14/6/2020
objetivos;
realizar cálculos de probabilidad bajo la distribución Normal
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
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## filter, lag## The following objects are masked from 'package:base':
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## intersect, setdiff, setequal, unionlibrary(mosaic)## Loading required package: lattice## Loading required package: ggformula## Loading required package: ggplot2## Loading required package: ggstance##
## Attaching package: 'ggstance'## The following objects are masked from 'package:ggplot2':
##
## geom_errorbarh, GeomErrorbarh##
## New to ggformula? Try the tutorials:
## learnr::run_tutorial("introduction", package = "ggformula")
## learnr::run_tutorial("refining", package = "ggformula")## Loading required package: mosaicData## Loading required package: Matrix## Registered S3 method overwritten by 'mosaic':
## method from
## fortify.SpatialPolygonsDataFrame ggplot2##
## The 'mosaic' package masks several functions from core packages in order to add
## additional features. The original behavior of these functions should not be affected by this.
##
## Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
##
## Have you tried the ggformula package for your plots?##
## Attaching package: 'mosaic'## The following object is masked from 'package:Matrix':
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## mean## The following object is masked from 'package:ggplot2':
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## stat## The following objects are masked from 'package:dplyr':
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## count, do, tally## The following objects are masked from 'package:stats':
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## binom.test, cor, cor.test, cov, fivenum, IQR, median, prop.test,
## quantile, sd, t.test, var## The following objects are masked from 'package:base':
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## max, mean, min, prod, range, sample, sumlibrary(readr)
library(ggplot2)
library(knitr) ##Los datos:
datos <- read.table("https://raw.githubusercontent.com/rpizarrog/probabilidad-y-estad-stica/master/datos/body.dat.txt", quote="\"", comment.char="")
datos <- as.data.frame(datos)
datos## V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14
## 1 42.9 26.0 31.5 17.7 28.0 13.1 10.4 18.8 14.1 106.2 89.5 71.5 74.5 93.5
## 2 43.7 28.5 33.5 16.9 30.8 14.0 11.8 20.6 15.1 110.5 97.0 79.0 86.5 94.8
## 3 40.1 28.2 33.3 20.9 31.7 13.9 10.9 19.7 14.1 115.1 97.5 83.2 82.9 95.0
## 4 44.3 29.9 34.0 18.4 28.2 13.9 11.2 20.9 15.0 104.5 97.0 77.8 78.8 94.0
## 5 42.5 29.9 34.0 21.5 29.4 15.2 11.6 20.7 14.9 107.5 97.5 80.0 82.5 98.5
## 6 43.3 27.0 31.5 19.6 31.3 14.0 11.5 18.8 13.9 119.8 99.9 82.5 80.1 95.3
## 7 43.5 30.0 34.0 21.9 31.7 16.1 12.5 20.8 15.6 123.5 106.9 82.0 84.0 101.0
## 8 44.4 29.8 33.2 21.8 28.8 15.1 11.9 21.0 14.6 120.4 102.5 76.8 80.5 98.0
## 9 43.5 26.5 32.1 15.5 27.5 14.1 11.2 18.9 13.2 111.0 91.0 68.5 69.0 89.5
## 10 42.0 28.0 34.0 22.5 28.0 15.6 12.0 21.1 15.0 119.5 93.5 77.5 81.5 99.8
## 11 40.3 29.0 33.0 20.1 30.3 13.4 10.4 19.4 14.5 117.1 97.7 81.9 81.0 98.4
## 12 43.7 29.0 31.3 20.5 29.7 15.0 11.7 20.9 16.0 123.5 99.5 82.6 82.5 95.0
## 13 47.4 29.6 35.7 20.8 31.4 16.1 11.3 21.5 15.4 116.5 103.0 85.0 94.5 103.0
## 14 40.3 27.5 31.4 21.7 28.0 13.3 10.3 18.8 13.2 113.0 99.6 85.6 89.2 98.0
## 15 41.0 26.8 32.2 21.9 28.6 14.9 10.6 17.8 14.0 107.5 101.5 78.0 89.5 95.0
## 16 45.0 27.0 33.2 21.7 30.6 13.7 11.1 20.7 14.0 112.0 104.1 82.0 84.0 97.0
## 17 39.9 30.0 34.5 21.0 29.4 15.6 11.9 21.2 16.0 112.2 100.0 88.3 93.5 105.0
## 18 43.0 26.5 30.3 19.3 30.0 14.8 11.2 19.7 14.7 120.0 93.8 73.6 74.9 90.1
## 19 43.1 28.6 33.4 22.2 29.5 14.9 12.2 20.8 14.8 109.0 98.5 78.5 86.0 94.5
## 20 43.6 29.3 34.4 20.2 32.6 15.4 10.9 20.7 15.5 118.5 104.0 87.3 88.0 101.1
## 21 42.0 27.5 30.7 21.3 32.0 13.1 11.1 19.2 13.9 116.0 100.0 92.0 91.0 98.0
## 22 43.8 28.0 33.3 20.0 32.0 15.0 11.5 20.4 14.4 111.0 100.0 80.0 83.7 99.5
## 23 42.3 26.4 31.2 18.0 30.9 14.6 10.8 18.6 13.8 117.7 99.0 74.5 75.9 92.2
## 24 42.7 29.9 35.0 21.8 32.8 14.3 11.2 19.8 14.1 123.9 101.0 90.6 89.6 101.2
## 25 44.8 27.8 32.2 18.3 31.5 15.2 11.6 19.4 14.7 120.6 101.6 81.4 81.6 98.8
## 26 46.0 30.1 34.5 20.2 31.1 16.4 13.3 22.2 14.9 129.5 108.8 89.5 89.5 106.0
## 27 45.4 31.8 35.2 20.2 32.3 14.6 10.5 20.2 15.3 115.0 100.0 85.0 94.5 105.0
## 28 40.5 28.3 33.4 19.2 28.8 14.6 11.1 20.8 14.5 116.0 88.0 73.5 77.7 97.0
## 29 39.4 25.5 30.2 17.6 27.7 13.0 10.2 18.9 13.2 107.8 88.7 75.8 83.0 89.0
## 30 40.2 27.2 31.7 18.1 26.5 13.3 10.1 18.6 13.2 100.2 84.5 74.0 81.0 93.5
## 31 44.2 30.3 34.7 19.4 30.0 14.9 11.0 19.1 15.8 113.0 93.6 77.5 82.1 95.0
## 32 41.0 23.6 30.2 22.9 28.0 14.3 11.2 18.2 14.0 117.9 105.0 74.0 72.0 90.0
## 33 44.0 31.0 35.3 19.2 31.0 15.2 11.4 21.2 15.1 112.5 90.9 74.0 78.8 96.4
## 34 41.6 32.0 35.3 23.6 27.0 15.5 11.3 20.9 15.0 110.5 91.2 82.0 89.5 100.0
## 35 41.0 25.1 31.9 20.8 27.9 13.6 10.8 18.8 12.9 112.0 98.4 73.0 83.0 95.4
## 36 41.5 24.5 30.5 17.7 26.7 13.3 10.8 18.6 14.0 104.0 85.0 70.5 84.0 90.0
## 37 41.1 27.8 31.4 19.0 31.5 14.5 11.9 18.5 13.0 114.8 97.2 75.0 77.2 91.3
## 38 38.8 27.2 31.6 18.5 25.5 13.4 10.8 19.0 14.0 108.0 91.5 72.1 79.2 91.0
## 39 36.2 27.5 30.4 18.7 28.0 13.6 10.8 19.0 15.4 111.2 91.2 78.8 78.0 93.2
## 40 42.1 27.5 32.4 18.2 28.0 16.2 12.0 21.0 16.4 118.3 101.1 77.5 78.0 97.0
## 41 40.3 29.4 32.9 23.7 31.5 14.6 11.3 19.8 15.2 115.2 104.3 91.5 93.2 103.9
## 42 41.7 27.1 32.6 21.6 28.0 14.1 11.5 19.7 13.8 129.9 110.8 84.9 83.0 102.6
## 43 37.8 27.1 31.5 18.5 27.3 14.6 10.8 19.5 14.9 112.9 96.3 79.1 78.3 97.1
## 44 39.2 26.1 30.8 19.4 29.9 14.3 11.2 20.0 16.0 112.2 102.7 77.9 77.9 90.7
## 45 41.5 30.8 33.3 19.4 30.6 14.8 11.3 20.2 16.0 117.1 103.9 91.7 89.4 101.8
## 46 42.5 27.8 33.5 20.6 30.2 15.9 12.8 22.4 16.3 118.7 105.6 86.6 87.3 103.9
## 47 39.4 26.1 34.4 20.4 27.3 15.1 10.6 20.0 15.3 109.2 95.8 84.7 84.0 101.4
## 48 43.6 33.1 33.5 21.6 33.1 15.6 12.0 20.7 16.5 128.1 111.2 90.3 93.5 108.7
## 49 38.9 24.9 28.7 19.7 26.8 14.2 10.2 18.0 14.4 113.3 100.0 79.7 87.1 98.4
## 50 37.6 24.4 28.0 18.0 26.4 14.2 10.6 17.3 13.4 108.4 91.6 73.1 75.4 86.5
## 51 39.4 28.3 30.6 20.2 28.7 15.0 11.5 18.4 14.4 118.7 108.0 79.8 82.5 94.8
## 52 38.5 26.1 30.8 20.6 30.8 15.1 11.4 19.8 14.2 126.3 109.6 81.6 86.5 100.9
## 53 40.1 27.8 33.1 19.2 31.3 15.4 11.5 20.6 15.4 124.2 105.7 76.8 83.4 98.0
## 54 40.3 28.0 32.0 20.9 31.7 14.8 10.6 19.4 15.0 126.7 109.1 85.9 90.4 100.9
## 55 37.6 26.6 29.9 17.3 25.6 12.8 10.0 17.0 13.0 103.3 88.8 73.3 77.9 85.7
## 56 38.3 25.2 30.2 17.0 26.4 13.2 10.4 18.8 13.0 101.2 86.1 69.9 67.4 84.1
## 57 39.7 28.6 32.1 19.1 27.1 13.4 10.0 18.2 14.8 104.3 91.3 72.7 83.2 91.4
## 58 42.2 29.0 33.7 22.5 30.4 15.6 12.0 19.8 16.2 113.2 100.6 82.7 83.5 98.0
## 59 41.1 30.4 35.1 23.2 32.6 15.5 11.6 21.5 15.4 121.9 105.5 90.1 89.2 104.5
## 60 40.5 29.3 33.7 19.6 29.8 13.8 11.7 19.7 14.4 113.1 97.5 82.9 83.6 95.8
## 61 41.5 28.6 30.4 20.8 26.9 14.8 11.2 20.7 16.5 108.5 94.4 77.9 79.0 91.7
## 62 43.4 32.4 36.4 20.3 32.1 15.6 12.0 20.8 16.3 113.9 99.6 92.5 96.2 103.4
## 63 43.5 26.0 31.6 19.1 30.9 14.3 11.4 19.5 14.6 112.6 98.1 77.8 77.2 90.0
## 64 41.3 27.1 32.4 17.5 27.6 14.1 10.8 20.2 15.5 110.2 93.6 72.7 77.3 91.7
## 65 40.3 29.5 33.3 18.4 26.2 14.0 11.0 19.4 14.8 108.7 93.4 75.0 79.2 94.0
## 66 36.3 29.2 33.0 20.0 29.0 14.1 11.7 20.4 14.3 104.0 92.0 76.0 83.0 93.0
## 67 39.9 28.3 32.0 18.3 31.4 13.5 11.4 18.9 14.4 115.2 99.2 82.7 84.2 93.0
## 68 39.8 28.8 33.0 19.7 28.7 12.4 10.7 18.5 13.2 111.9 97.6 80.0 85.7 97.4
## 69 43.5 33.2 34.0 23.9 34.3 15.8 12.0 18.6 13.2 127.0 108.8 107.1 107.2 108.3
## 70 41.2 26.6 30.6 19.5 28.0 13.1 10.4 19.0 13.8 111.2 91.9 76.2 78.1 90.0
## 71 44.0 28.4 32.0 22.5 29.7 14.9 10.9 21.0 14.8 122.0 105.2 90.2 88.6 100.2
## 72 41.8 28.5 31.6 21.6 31.5 13.3 10.3 18.9 14.3 114.5 98.3 89.4 87.4 97.7
## 73 42.9 27.5 30.3 18.9 29.6 12.6 10.4 19.2 13.8 109.5 92.5 80.9 78.5 96.0
## 74 38.7 24.6 28.5 18.3 29.8 14.0 11.2 18.9 13.6 110.8 92.5 73.5 76.4 92.0
## 75 41.4 26.4 32.3 18.6 31.3 14.9 11.5 18.9 14.6 118.8 101.6 70.9 76.7 95.3
## 76 39.6 27.5 30.2 19.2 28.9 13.5 10.4 19.3 14.2 108.0 94.6 76.1 78.0 86.3
## 77 40.5 27.5 32.3 19.4 28.8 12.6 10.6 18.4 14.0 114.3 92.5 81.0 85.2 92.5
## 78 34.1 28.1 30.1 21.8 25.8 12.9 9.9 18.6 12.3 105.4 88.2 72.0 72.0 85.5
## 79 43.5 28.8 34.0 20.6 29.0 14.3 10.5 19.8 14.2 115.0 91.0 76.8 80.0 94.5
## 80 44.1 29.2 35.3 23.6 30.9 15.8 12.5 20.2 15.2 119.5 106.0 86.0 92.0 103.0
## 81 42.2 32.6 36.6 22.4 34.5 14.1 11.1 18.2 13.9 130.0 115.0 98.5 106.6 116.5
## 82 42.2 30.1 31.4 21.2 29.7 14.0 11.6 21.6 14.1 113.3 100.0 79.0 82.5 98.5
## 83 43.0 26.5 31.6 20.6 29.5 13.4 10.4 18.8 13.6 113.2 94.7 77.5 80.5 92.0
## 84 39.8 28.7 33.3 19.3 29.2 13.5 11.6 19.5 14.6 106.9 92.5 75.2 80.2 91.6
## 85 37.7 29.7 32.7 20.2 28.8 13.3 11.1 18.3 13.2 113.8 96.7 82.0 82.2 92.7
## 86 39.6 27.9 33.3 20.2 29.5 12.6 10.7 18.5 12.9 117.3 97.4 79.6 80.8 95.0
## 87 43.2 26.3 30.5 19.7 30.6 14.4 12.3 20.2 13.6 124.2 106.7 75.2 77.8 94.5
## 88 44.3 28.2 32.2 21.2 31.8 14.2 11.6 20.0 14.4 123.0 106.2 88.6 88.3 100.5
## 89 43.3 28.2 33.0 19.4 31.6 13.8 11.1 17.8 13.2 117.8 103.6 81.5 83.3 91.8
## 90 42.8 27.5 31.5 19.2 31.8 14.1 11.1 19.1 14.7 118.8 98.3 79.9 82.4 87.5
## 91 41.5 30.0 33.4 19.1 29.4 14.8 11.0 19.8 13.8 112.0 87.8 73.5 77.5 94.9
## 92 42.0 27.6 32.2 19.7 29.4 13.9 10.0 18.7 13.8 113.0 99.8 80.3 80.8 93.0
## 93 41.2 27.1 29.8 20.1 31.0 12.9 11.6 18.8 13.5 116.0 104.6 81.5 85.0 92.0
## 94 43.8 29.5 31.2 18.2 29.5 13.1 10.3 19.1 13.2 112.8 86.5 74.0 76.5 91.3
## 95 46.2 31.0 36.0 25.0 33.1 14.6 12.0 20.9 15.1 125.0 110.0 104.0 99.0 111.7
## 96 40.4 28.6 31.4 19.8 27.6 13.9 10.1 20.0 13.4 108.3 93.2 76.2 83.8 92.8
## 97 40.8 27.1 29.4 17.8 29.4 13.3 10.4 18.5 12.8 108.2 90.0 76.5 77.7 91.2
## 98 43.9 27.0 33.5 22.3 31.0 13.2 10.4 19.1 13.1 113.0 98.4 81.0 80.5 96.2
## 99 44.2 27.9 32.0 21.6 32.9 14.3 11.0 21.1 14.9 115.0 107.2 88.8 86.8 100.0
## 100 41.6 28.0 35.0 24.2 31.0 13.4 11.2 20.6 14.4 123.0 108.3 94.0 98.0 108.2
## 101 38.1 30.1 33.2 21.6 31.3 14.2 12.3 19.2 15.2 120.2 105.7 83.4 86.5 101.1
## 102 42.0 28.0 33.0 18.1 28.4 14.3 11.1 20.2 15.2 114.0 88.5 77.0 79.0 93.0
## 103 37.0 27.3 31.1 18.2 25.0 13.2 10.5 18.7 13.4 102.9 79.3 75.4 78.0 88.6
## 104 41.6 27.5 32.0 18.1 29.5 13.8 10.7 19.0 13.9 112.5 90.9 80.3 80.8 92.8
## 105 40.1 19.4 28.0 17.1 26.8 13.0 10.6 16.9 12.6 104.5 90.2 68.0 67.0 81.5
## 106 38.7 25.2 28.8 19.1 25.6 13.0 10.2 17.9 13.5 111.3 91.6 80.6 78.0 91.3
## 107 37.4 29.9 33.5 22.3 30.8 14.4 11.5 20.5 16.8 117.2 105.2 88.6 94.7 94.7
## 108 41.7 28.0 32.9 19.4 29.7 14.6 11.0 19.5 15.3 112.8 97.0 81.1 88.2 93.9
## 109 38.0 27.1 28.3 18.2 25.9 13.8 11.0 18.9 14.8 104.8 85.3 70.8 84.9 89.4
## 110 40.5 24.9 29.7 19.0 30.2 14.4 11.8 19.5 14.9 117.7 99.6 73.3 82.1 89.3
## 111 35.6 28.5 29.4 17.7 25.2 14.0 10.8 19.1 15.0 107.7 94.3 75.9 79.1 92.6
## 112 43.6 30.2 32.4 21.8 33.1 15.2 11.3 19.8 15.2 125.2 111.8 86.2 93.5 96.3
## 113 37.6 24.4 28.3 17.7 24.7 12.9 10.8 18.0 14.3 109.1 94.3 75.0 82.2 88.0
## 114 41.1 31.7 34.2 22.8 34.0 13.8 11.8 19.4 15.4 122.6 106.1 101.0 99.7 105.5
## 115 42.1 30.6 34.0 22.1 30.6 15.0 11.4 20.2 15.4 117.3 102.0 90.0 92.3 102.3
## 116 40.5 28.3 32.4 19.4 27.8 13.4 11.0 19.0 14.5 109.1 94.8 75.0 79.6 91.6
## 117 40.9 28.5 31.3 21.1 29.7 14.3 11.7 19.0 15.6 116.7 102.9 75.9 77.0 93.4
## 118 43.0 30.6 33.8 23.3 35.3 15.6 12.0 21.6 16.4 124.9 115.8 96.0 95.9 103.6
## 119 40.5 27.8 31.1 21.8 30.6 15.0 11.6 20.4 15.2 118.6 105.4 84.0 90.4 94.8
## 120 41.9 25.4 30.2 14.4 26.8 12.6 9.8 18.8 13.6 108.8 87.1 67.1 80.4 85.9
## 121 42.1 28.5 33.1 20.2 30.6 15.6 12.2 19.7 15.6 121.9 104.1 82.5 90.1 98.4
## 122 43.8 29.2 32.6 18.7 30.4 14.6 11.7 20.0 15.2 117.3 95.8 83.7 84.2 98.4
## 123 42.1 28.5 31.7 19.4 28.0 14.0 11.3 19.0 14.4 115.0 98.6 76.7 85.8 93.3
## 124 43.4 32.0 36.2 23.5 35.6 16.1 12.6 23.0 16.3 134.8 118.7 105.2 105.0 115.5
## 125 38.7 26.8 31.5 21.4 27.8 13.8 10.8 18.2 13.3 113.8 100.9 90.6 93.3 97.7
## 126 39.6 28.7 32.4 18.2 28.3 15.2 11.8 19.6 14.8 119.4 98.5 85.7 92.9 98.6
## 127 43.4 30.6 32.9 21.6 28.3 15.0 12.0 20.5 17.2 117.9 96.9 82.5 90.8 94.9
## 128 40.5 29.7 31.7 22.1 32.6 15.2 11.3 21.2 15.2 127.3 110.7 94.7 92.0 101.3
## 129 40.3 30.4 34.2 21.1 34.0 13.6 12.0 19.2 13.8 118.8 108.0 105.2 103.4 108.1
## 130 44.2 30.6 33.8 22.1 32.4 15.3 11.5 20.9 16.5 122.4 109.0 86.0 90.2 98.0
## 131 41.3 26.8 32.2 21.4 31.1 13.6 11.0 19.1 15.0 111.5 104.2 90.9 92.7 100.2
## 132 39.8 25.6 31.3 23.5 32.0 14.0 11.2 21.2 16.4 113.2 100.5 92.4 92.4 97.0
## 133 41.3 29.0 32.2 25.2 30.8 14.4 11.0 19.7 15.8 115.3 105.7 96.5 98.2 97.4
## 134 38.9 27.5 32.9 22.5 33.3 14.6 11.0 20.5 15.3 122.5 112.4 98.4 101.5 107.9
## 135 41.1 25.6 29.9 23.3 25.2 14.1 10.7 19.0 15.1 114.4 96.2 76.7 83.5 93.9
## 136 41.5 30.6 35.8 21.1 28.0 15.0 11.8 21.0 15.6 112.8 97.5 94.8 98.2 98.6
## 137 38.5 27.8 31.7 19.7 26.4 13.1 11.0 18.4 14.8 112.2 90.9 80.1 79.8 91.3
## 138 39.4 29.7 33.1 23.0 30.4 14.2 11.6 20.4 15.0 119.4 108.4 97.4 103.7 105.3
## 139 40.9 26.1 27.5 20.2 28.0 13.2 10.4 18.6 14.8 108.4 94.3 73.7 74.5 88.2
## 140 41.1 23.0 29.4 21.8 30.6 15.0 10.8 19.3 14.5 122.4 109.1 76.1 90.1 93.3
## 141 43.6 28.0 32.4 27.5 33.5 14.6 11.7 21.4 15.1 128.8 115.0 95.6 101.9 107.9
## 142 39.8 29.0 34.9 22.5 28.3 14.3 11.7 19.8 15.4 118.0 104.4 101.0 98.9 103.3
## 143 42.1 27.8 31.7 20.2 28.7 14.3 11.5 19.6 15.6 116.5 100.1 84.5 84.5 94.4
## 144 41.1 27.1 33.8 24.9 29.4 14.4 12.4 18.0 15.1 120.4 108.4 98.0 101.8 101.5
## 145 44.2 30.4 36.5 21.6 31.5 15.4 11.6 20.4 15.4 123.1 107.3 101.6 103.8 110.0
## 146 38.9 26.8 31.5 20.4 29.0 13.6 10.8 18.9 15.2 117.2 101.8 87.8 90.2 98.4
## 147 40.1 28.7 32.2 18.0 29.4 15.2 11.8 20.7 15.4 113.0 94.5 80.0 85.0 95.0
## 148 38.7 26.8 31.5 18.0 27.8 12.9 10.4 18.0 14.3 109.4 91.7 81.8 82.9 98.3
## 149 35.6 26.4 30.8 19.2 29.4 14.6 11.5 19.6 15.3 105.7 95.9 84.4 86.8 99.0
## 150 40.5 26.8 30.6 21.4 32.4 15.0 11.8 20.4 15.8 119.7 110.5 85.0 83.5 95.7
## 151 41.1 25.4 32.0 21.6 28.7 14.3 12.4 19.6 14.3 118.0 104.0 90.0 86.0 96.0
## 152 38.7 26.1 29.2 18.2 24.9 13.6 10.4 17.6 14.2 104.3 86.8 72.9 73.4 89.5
## 153 38.9 27.1 30.4 20.4 28.7 14.8 11.7 19.4 14.6 114.1 106.7 81.0 80.2 93.7
## 154 39.4 29.7 33.1 22.3 31.5 15.6 12.0 19.5 14.8 119.0 102.5 86.5 89.0 97.0
## 155 37.6 27.8 32.2 20.2 31.3 14.6 11.0 21.5 15.8 113.8 103.0 93.9 98.6 103.6
## 156 39.8 25.9 31.3 19.4 29.2 14.3 11.2 18.7 14.3 118.0 95.0 77.0 78.0 93.0
## 157 40.3 27.3 30.4 20.4 29.0 15.0 11.3 19.1 14.6 116.0 99.0 75.0 75.0 90.0
## 158 40.3 25.2 29.2 18.7 28.5 13.2 10.2 18.9 14.3 108.3 89.7 80.6 80.8 90.0
## 159 43.8 30.4 34.9 24.0 33.3 15.4 11.6 17.8 14.6 129.2 111.5 100.5 107.3 109.5
## 160 41.1 27.8 32.9 18.0 26.8 14.6 11.2 19.5 15.8 109.2 94.1 81.2 84.0 91.6
## 161 41.7 30.6 34.7 24.9 32.0 14.9 10.8 18.9 14.1 124.3 118.3 103.4 106.2 108.5
## 162 45.4 30.8 35.6 20.9 29.7 15.2 10.8 18.6 15.0 122.6 106.5 90.3 101.1 101.6
## 163 43.0 30.8 34.7 22.1 32.2 16.0 13.2 19.5 16.1 122.4 110.4 98.0 98.0 99.6
## 164 41.1 25.4 30.4 19.2 29.9 14.8 10.6 18.7 15.2 114.9 102.3 86.5 87.7 91.9
## 165 41.1 29.2 31.5 19.7 29.9 14.8 11.0 18.0 15.0 111.1 98.5 77.9 87.3 90.8
## 166 45.2 32.2 36.0 22.5 33.5 15.8 11.3 20.5 14.8 126.0 111.6 89.1 95.1 104.8
## 167 39.8 34.7 34.7 23.5 30.2 14.8 10.6 20.6 14.3 115.5 106.7 93.9 111.8 111.4
## 168 39.6 28.7 32.0 20.2 32.9 14.3 11.5 19.6 15.1 124.7 110.4 85.3 82.9 96.5
## 169 42.3 30.2 34.4 25.4 32.2 15.2 10.7 18.8 14.8 125.3 114.0 98.5 103.8 108.1
## 170 40.9 29.0 32.2 20.2 29.2 13.8 10.4 18.4 14.4 118.2 101.8 79.5 90.1 95.3
## 171 39.8 28.0 34.2 23.3 31.5 14.0 11.0 19.7 13.8 124.3 109.6 94.9 94.7 104.3
## 172 42.3 27.1 31.7 17.3 29.4 14.4 11.6 21.2 15.8 118.3 100.7 76.5 87.2 96.3
## 173 42.3 26.8 32.0 25.4 28.7 15.0 11.2 18.4 14.4 122.3 104.3 88.4 89.6 98.8
## 174 40.5 28.7 30.4 22.1 29.2 14.3 11.2 18.5 14.5 116.5 104.2 84.2 84.0 93.2
## 175 42.7 28.5 36.7 23.7 30.8 15.8 12.9 19.3 16.0 123.0 107.4 87.6 89.4 106.7
## 176 43.6 30.8 33.3 20.4 29.7 14.3 10.9 19.6 15.4 117.6 101.0 83.7 91.1 99.9
## 177 42.5 31.3 33.1 19.4 32.0 14.8 11.3 20.1 15.5 117.5 103.0 92.1 91.3 103.8
## 178 41.3 30.8 33.3 22.5 28.3 13.0 10.5 19.7 13.4 117.3 107.2 89.9 94.7 107.1
## 179 41.3 24.7 35.4 22.5 30.2 14.8 11.3 20.4 16.0 114.5 99.0 88.7 91.0 100.0
## 180 42.3 26.6 33.3 23.3 28.7 14.2 11.1 19.5 14.3 122.9 100.3 83.9 89.4 103.9
## 181 36.9 25.9 31.7 19.9 27.3 14.8 10.6 19.4 14.3 115.5 100.2 79.5 88.7 95.3
## 182 40.3 28.5 35.1 19.2 32.0 14.8 12.0 21.2 16.2 116.1 99.8 84.5 92.6 99.5
## 183 40.1 26.4 32.0 21.4 32.6 14.8 12.0 20.0 15.2 121.6 107.5 89.2 88.4 107.0
## 184 43.2 31.3 34.0 23.0 32.6 15.7 11.5 20.5 15.2 131.6 110.1 90.7 91.9 101.7
## 185 45.0 29.0 33.3 25.4 30.8 15.4 11.0 18.8 15.0 124.5 107.0 88.8 97.5 103.8
## 186 42.1 29.7 35.6 23.5 31.3 14.3 11.0 18.2 14.8 115.6 105.6 103.6 100.7 100.6
## 187 40.9 28.7 33.5 23.7 30.2 15.8 11.6 19.3 16.8 117.0 103.6 98.5 99.9 103.6
## 188 41.3 27.3 32.2 20.2 28.3 13.8 11.4 18.0 13.0 108.6 97.1 82.9 88.1 91.2
## 189 42.1 29.7 32.9 24.9 30.8 15.3 11.5 19.2 14.6 120.2 109.8 90.5 92.3 95.2
## 190 45.2 29.7 33.8 19.9 32.0 15.5 11.8 19.6 16.1 116.2 103.3 84.5 94.5 98.2
## 191 42.1 31.1 34.9 22.1 31.3 15.2 11.0 19.0 14.4 115.4 103.7 86.0 93.8 97.1
## 192 41.2 29.8 32.2 22.4 29.8 15.6 11.2 19.6 14.8 120.0 108.5 84.2 88.9 97.5
## 193 41.7 29.2 33.8 19.2 29.7 13.8 10.7 18.6 14.2 110.3 97.8 85.7 89.5 94.9
## 194 43.0 29.4 33.8 24.7 31.5 14.2 11.2 19.4 14.2 119.7 112.7 112.1 105.9 106.3
## 195 41.7 28.5 33.8 23.5 32.9 15.6 12.0 18.4 16.3 123.5 111.4 99.7 102.9 105.8
## 196 38.0 29.7 34.0 22.8 27.3 13.1 10.8 17.3 15.5 107.8 95.1 84.7 92.9 96.7
## 197 41.9 27.8 33.3 19.0 28.7 15.1 11.3 19.2 14.9 118.7 100.2 80.3 92.4 96.4
## 198 40.7 28.0 35.3 19.4 31.7 14.4 10.7 18.6 14.4 120.7 106.3 98.6 111.7 118.7
## 199 41.3 29.7 34.7 22.8 32.0 15.5 11.2 18.4 15.6 118.7 109.5 90.0 96.2 104.3
## 200 40.9 28.7 32.9 21.6 30.6 15.0 11.0 18.7 13.8 118.0 106.3 86.6 93.9 95.9
## 201 41.7 26.8 32.0 19.7 27.8 14.0 10.5 18.4 14.6 105.0 91.5 80.2 85.7 89.2
## 202 41.3 31.1 34.9 26.4 30.2 15.0 11.6 18.8 15.8 110.6 104.9 109.2 104.4 101.7
## 203 41.1 27.8 32.0 21.1 30.6 14.8 11.4 17.6 14.2 123.1 109.6 88.4 92.0 95.1
## 204 43.4 27.3 34.7 19.9 31.3 14.0 11.2 20.2 14.3 121.0 102.5 81.0 84.5 105.0
## 205 40.7 27.8 34.0 21.1 29.4 15.6 12.0 21.2 16.4 111.7 101.2 88.8 90.8 101.3
## 206 42.5 25.2 30.6 20.9 30.4 15.3 11.4 18.9 13.8 111.0 98.7 78.1 78.6 92.0
## 207 40.3 28.3 30.6 18.2 29.2 12.9 10.6 20.2 14.2 112.0 96.0 81.5 80.5 89.5
## 208 39.8 27.8 32.9 22.3 29.7 16.6 11.8 20.8 15.3 115.9 104.2 87.6 89.6 100.5
## 209 39.8 28.3 30.4 19.7 30.2 12.9 11.0 18.6 12.7 121.0 103.0 92.5 88.5 94.0
## 210 40.5 29.9 34.9 21.4 32.9 14.5 11.7 20.4 15.0 123.6 107.0 97.0 95.5 104.5
## 211 41.1 26.8 32.4 20.2 31.1 14.4 11.8 20.4 15.2 120.0 101.0 82.0 82.0 98.0
## 212 42.5 29.4 34.2 23.5 34.7 15.1 11.8 21.8 15.8 128.7 112.1 99.5 97.8 107.4
## 213 42.5 29.4 34.4 19.9 34.0 14.5 11.0 21.3 14.4 124.5 103.4 93.8 92.7 112.2
## 214 38.5 24.4 30.4 18.0 29.9 14.3 10.1 18.3 13.2 112.4 100.3 79.1 80.4 94.3
## 215 43.8 29.2 35.6 19.9 28.3 14.8 12.8 20.7 14.3 112.2 95.7 85.8 94.7 106.8
## 216 41.5 29.0 33.3 21.4 32.4 15.3 11.0 20.6 15.0 127.0 108.0 90.8 92.4 100.3
## 217 40.3 27.8 33.5 20.6 29.9 15.3 11.2 20.4 13.8 115.3 101.0 85.4 86.9 101.8
## 218 40.3 30.2 32.2 20.6 29.2 14.5 11.5 20.0 16.9 111.5 98.6 91.6 102.1 106.7
## 219 42.1 27.1 32.2 20.2 30.6 13.7 10.8 18.9 14.3 118.3 101.6 79.7 82.0 98.4
## 220 42.1 31.3 35.1 20.6 31.1 16.7 12.0 21.0 15.1 118.0 99.0 86.1 90.8 101.3
## 221 38.9 29.4 33.3 24.2 33.5 14.2 12.8 20.6 15.5 127.0 116.7 113.2 102.9 107.9
## 222 44.4 24.0 30.2 20.6 32.0 14.2 11.2 20.2 14.5 124.4 105.0 79.5 85.8 92.7
## 223 40.9 24.4 28.7 18.7 29.0 14.3 11.4 17.8 14.6 112.4 95.1 85.4 84.1 94.3
## 224 42.1 28.7 33.5 25.2 29.4 14.3 11.5 18.0 13.8 125.8 106.7 97.9 94.7 104.6
## 225 43.0 27.1 33.5 25.2 31.5 15.2 11.8 19.3 15.1 131.7 116.6 94.7 93.1 103.3
## 226 38.0 27.1 32.2 20.6 28.0 13.9 10.3 19.1 14.0 117.3 103.5 86.1 90.5 96.7
## 227 37.1 24.2 30.6 17.7 27.8 13.8 11.0 17.8 14.6 107.6 90.4 84.9 83.7 97.9
## 228 41.1 24.0 29.4 21.6 30.8 13.6 11.7 18.8 14.6 122.4 107.5 92.2 88.6 97.5
## 229 40.9 24.4 30.6 19.7 29.9 13.8 11.5 19.0 15.1 117.0 100.8 83.7 82.5 97.7
## 230 38.9 27.1 31.7 21.6 29.7 15.0 12.2 20.5 15.2 119.0 104.2 97.8 93.6 102.5
## 231 40.9 28.3 34.0 23.7 28.5 14.3 12.0 19.0 14.3 123.5 104.9 98.6 99.2 103.3
## 232 39.2 26.8 34.0 23.7 30.8 14.2 11.2 19.1 14.5 121.4 112.8 89.5 96.9 100.9
## 233 41.7 26.6 31.5 19.9 29.9 14.6 11.2 19.2 14.8 112.3 95.7 82.9 89.6 94.8
## 234 39.4 26.6 31.7 24.0 31.1 13.8 11.8 20.0 15.8 113.2 104.9 90.1 90.8 96.6
## 235 40.1 26.4 32.0 21.8 30.2 15.8 12.4 20.7 15.8 121.7 109.1 78.9 91.0 98.1
## 236 38.9 25.6 32.9 21.1 29.0 15.6 10.6 20.2 14.8 116.6 105.4 80.7 87.4 95.5
## 237 38.9 26.4 31.7 21.6 27.8 14.4 11.3 19.6 14.8 117.8 104.3 94.3 99.4 100.4
## 238 41.7 26.4 31.1 20.2 28.3 14.6 10.2 18.4 15.3 118.0 100.5 70.2 79.3 92.0
## 239 43.2 26.8 32.6 22.1 32.9 15.4 12.0 20.5 16.8 131.1 111.8 83.6 92.7 101.5
## 240 40.5 29.2 33.5 23.7 31.1 15.2 11.3 20.0 16.1 121.4 109.5 91.9 96.5 103.3
## 241 39.2 23.5 29.9 19.7 29.0 15.4 11.5 19.0 14.8 116.3 101.2 71.8 82.3 87.6
## 242 40.9 25.4 32.0 20.6 30.2 16.1 11.5 19.3 15.8 121.8 103.3 85.0 90.8 97.9
## 243 41.7 27.3 31.5 21.8 29.7 14.9 11.8 18.9 13.6 118.2 101.6 85.7 91.0 95.9
## 244 43.8 32.2 38.0 25.4 32.0 16.0 10.7 21.0 16.8 126.3 103.1 96.5 99.0 111.8
## 245 41.9 28.0 33.1 26.4 29.9 15.6 11.5 21.2 15.9 121.0 104.6 82.4 85.7 99.9
## 246 43.0 27.8 34.2 21.4 31.5 14.3 11.1 21.0 14.8 123.1 104.3 86.3 87.8 103.3
## 247 41.5 28.5 33.5 19.7 29.4 14.5 10.5 19.4 15.3 114.9 95.9 83.2 88.0 100.6
## 248 37.6 25.0 31.3 16.2 24.9 11.2 9.2 17.0 12.3 95.0 83.0 66.5 79.0 92.0
## 249 36.7 26.4 31.0 16.8 24.5 12.1 9.9 19.3 12.8 99.5 78.5 61.5 70.5 90.5
## 250 34.8 25.9 30.2 16.4 24.2 11.3 8.9 17.0 12.2 88.0 75.0 61.2 66.5 91.0
## 251 36.6 27.9 31.8 19.3 24.9 12.3 9.5 18.6 13.0 97.0 86.5 78.0 91.0 99.5
## 252 35.5 28.2 31.0 18.2 26.2 11.5 9.1 17.2 12.4 103.3 91.0 70.5 80.5 91.5
## 253 37.0 28.0 32.0 15.1 25.7 12.5 10.0 17.2 13.2 93.5 79.5 66.5 78.5 94.0
## 254 35.5 26.5 29.2 15.4 24.5 12.3 9.4 17.2 12.0 93.3 77.0 58.0 64.0 85.5
## 255 37.4 30.2 33.2 18.8 26.6 13.3 10.7 19.8 13.8 94.5 88.0 74.5 87.0 104.0
## 256 37.8 29.0 32.6 18.6 25.0 12.1 9.8 17.8 12.7 98.6 85.0 73.5 92.0 104.1
## 257 38.6 28.8 33.2 19.7 29.4 13.4 11.5 20.9 13.2 115.5 98.8 90.5 103.5 108.1
## 258 37.6 28.5 32.2 15.5 24.3 11.8 8.6 17.1 11.9 97.9 79.0 66.5 74.0 90.3
## 259 36.0 25.6 31.5 15.4 25.5 12.8 9.7 17.6 13.2 97.7 77.6 61.0 71.8 91.6
## 260 39.5 30.0 31.7 17.3 27.3 12.8 9.2 18.1 12.4 100.5 85.0 69.5 81.5 94.4
## 261 34.0 25.0 27.0 16.9 22.6 10.6 8.3 15.9 11.6 88.7 76.7 62.0 74.1 80.9
## 262 35.0 26.5 31.6 18.3 23.7 11.5 8.6 16.8 12.2 96.6 76.7 63.4 69.0 87.7
## 263 35.6 25.8 32.0 16.2 25.7 11.5 9.0 17.2 11.8 92.0 82.0 71.0 69.0 88.5
## 264 36.2 27.4 29.5 14.6 23.9 11.2 9.6 16.7 12.6 90.0 79.0 59.0 79.0 88.5
## 265 39.0 28.4 34.9 19.6 26.7 13.4 11.0 18.9 13.6 104.0 89.5 74.0 92.0 101.0
## 266 32.6 25.6 30.0 15.3 22.6 10.3 8.1 16.2 11.6 90.1 73.5 60.5 68.3 88.5
## 267 37.6 30.0 33.9 19.1 28.8 13.4 10.5 19.2 13.2 104.0 90.0 75.0 80.5 99.0
## 268 36.3 27.5 31.0 15.4 24.0 11.1 9.4 16.4 12.3 91.0 80.0 65.0 78.3 91.0
## 269 38.0 29.6 32.7 21.3 28.7 13.7 10.6 21.5 14.4 111.4 94.5 82.2 94.2 110.2
## 270 37.0 27.9 30.8 15.1 26.8 13.2 8.9 18.1 12.3 96.2 83.8 70.2 82.5 94.2
## 271 42.6 31.8 34.8 19.9 30.4 12.5 11.0 21.0 14.2 117.1 95.2 85.0 91.2 111.0
## 272 37.5 29.2 35.1 19.6 27.5 13.1 10.2 20.0 13.1 101.5 91.0 75.0 85.0 103.0
## 273 36.1 28.2 32.3 15.8 25.0 12.0 10.2 18.4 12.9 95.1 80.0 63.0 76.5 90.0
## 274 39.1 27.5 34.0 17.2 25.6 12.6 10.0 18.0 12.7 97.1 81.7 70.0 81.5 96.0
## 275 39.6 28.6 31.2 18.0 27.2 12.4 10.1 19.3 13.8 101.4 89.6 72.6 86.3 93.7
## 276 40.5 29.6 34.9 17.4 27.5 12.6 10.4 18.8 13.1 103.7 90.9 78.7 83.5 101.5
## 277 35.0 26.0 29.8 16.1 22.3 12.4 9.5 17.2 12.3 89.2 78.5 61.0 73.0 82.5
## 278 34.5 26.4 30.1 18.6 23.5 11.3 8.9 17.2 12.3 86.0 78.0 64.2 69.8 89.0
## 279 35.6 27.9 32.0 15.6 23.9 11.9 9.6 18.2 12.7 98.1 80.2 63.1 78.9 93.9
## 280 39.1 29.7 33.7 20.1 29.5 13.2 10.0 20.3 13.6 114.0 99.0 85.0 92.5 106.4
## 281 36.6 28.2 32.0 14.3 26.0 11.8 9.9 18.0 12.7 95.0 80.0 66.0 78.0 92.0
## 282 34.8 26.3 29.9 16.0 22.9 11.3 9.2 16.5 11.8 87.0 75.5 65.0 76.7 86.0
## 283 36.7 22.1 28.3 16.7 27.5 12.3 10.1 16.8 12.4 100.8 82.6 63.2 70.5 89.1
## 284 39.7 31.6 34.5 19.0 24.9 12.7 10.4 18.2 13.1 112.2 94.5 83.6 94.2 104.1
## 285 35.5 24.3 29.5 15.0 26.0 11.5 9.4 17.2 12.1 98.7 83.9 68.0 76.1 88.0
## 286 36.0 28.0 30.8 17.3 25.9 12.9 9.8 17.8 13.8 100.1 92.8 75.7 88.6 102.6
## 287 35.8 26.4 32.2 17.3 24.9 12.7 10.4 18.9 14.0 100.3 85.3 65.5 74.4 95.9
## 288 37.6 27.3 32.0 18.0 25.6 12.4 9.4 18.8 13.6 100.5 84.4 66.9 79.7 98.8
## 289 37.6 28.7 30.8 19.0 25.2 13.1 11.5 18.6 13.6 101.2 87.6 67.9 82.7 93.5
## 290 34.9 28.0 30.8 15.6 24.2 11.2 9.2 17.9 13.2 96.0 81.0 67.8 73.0 92.9
## 291 33.3 24.9 27.8 17.3 23.3 12.8 9.8 17.4 12.9 92.8 84.1 63.2 75.0 86.9
## 292 36.2 27.1 29.9 16.0 24.2 11.8 9.2 17.3 12.6 95.5 88.2 73.1 80.0 94.9
## 293 33.3 29.2 32.0 14.8 25.9 12.6 10.4 18.4 13.0 98.7 88.1 65.3 75.8 95.3
## 294 36.0 25.2 30.8 16.5 24.2 12.6 9.2 17.6 13.2 96.9 84.9 65.6 75.5 93.3
## 295 34.0 27.3 29.9 17.0 24.0 12.0 9.2 16.8 12.4 91.0 81.2 62.7 75.4 90.0
## 296 36.2 28.7 31.3 19.2 27.1 12.8 10.5 18.0 14.4 106.3 91.6 81.8 96.5 99.3
## 297 34.9 27.1 31.5 19.0 24.9 12.4 9.8 18.0 13.8 99.8 88.4 72.1 87.3 95.6
## 298 37.4 28.3 31.3 16.3 25.6 12.9 11.0 18.4 14.3 105.0 87.6 68.6 80.7 95.8
## 299 33.8 28.7 32.2 18.7 25.4 12.0 8.9 17.4 13.0 106.2 91.3 80.0 97.9 104.6
## 300 34.0 27.3 32.2 19.0 24.2 12.9 10.6 17.9 13.4 97.7 87.2 64.9 75.9 92.2
## 301 34.4 23.5 26.8 16.5 24.4 11.7 9.2 16.8 12.4 97.4 82.2 61.7 66.0 80.7
## 302 34.7 27.8 32.6 16.5 24.2 12.6 9.8 17.6 12.6 96.3 82.1 64.0 73.6 98.1
## 303 35.6 26.4 32.2 15.1 26.6 13.0 10.0 17.6 13.8 98.0 82.6 58.6 73.0 89.6
## 304 33.8 29.7 32.4 17.3 25.4 13.4 9.6 18.4 13.4 94.5 86.5 68.3 89.2 94.0
## 305 37.8 26.6 33.1 16.5 27.1 12.4 9.8 18.3 13.0 101.4 85.3 69.5 74.9 94.7
## 306 38.3 30.4 32.2 18.7 26.4 12.4 9.4 18.1 12.7 95.1 84.7 70.5 86.1 94.1
## 307 40.3 29.2 32.9 16.5 26.4 13.0 9.4 18.6 12.9 101.1 86.8 69.8 76.5 93.7
## 308 38.9 27.5 31.1 15.6 26.8 12.4 10.0 18.4 13.6 97.4 85.2 69.0 76.3 86.7
## 309 39.4 29.2 34.7 18.0 28.3 13.4 10.5 19.8 13.1 104.8 93.9 81.0 93.2 105.9
## 310 35.0 27.0 33.0 19.3 25.0 11.5 9.9 17.1 13.0 94.5 84.5 71.0 80.5 97.5
## 311 40.7 29.0 35.3 17.7 28.5 13.8 10.8 19.8 14.3 103.2 90.7 73.6 79.8 105.3
## 312 39.6 30.4 34.2 21.4 26.8 14.2 10.6 20.7 13.1 110.8 97.4 96.3 104.2 102.6
## 313 36.9 28.3 32.0 17.0 25.6 10.9 9.4 17.3 12.6 94.6 83.3 65.0 68.2 91.6
## 314 35.6 25.7 29.1 15.5 26.0 11.5 9.5 17.8 12.1 96.6 82.1 62.8 70.6 83.9
## 315 38.2 30.0 35.5 19.4 26.7 12.6 10.8 19.5 13.6 102.8 92.2 83.0 101.4 108.1
## 316 36.9 29.0 33.7 15.6 27.0 11.5 10.2 18.4 13.8 96.9 83.6 67.6 86.2 99.1
## 317 36.9 26.9 31.9 16.1 25.2 13.4 10.0 18.8 14.3 95.6 82.6 65.4 74.8 89.3
## 318 34.8 26.4 29.8 14.9 25.2 12.2 9.1 18.0 12.4 92.4 77.0 61.6 74.0 89.9
## 319 36.6 27.5 30.0 17.7 24.1 12.0 9.3 17.7 13.2 93.7 79.3 63.2 75.5 85.8
## 320 36.9 27.4 31.0 18.2 25.7 12.8 10.4 17.8 14.1 96.1 84.3 59.4 74.0 85.8
## 321 36.9 26.4 32.4 16.6 26.0 12.6 10.5 18.9 14.4 100.1 85.6 62.7 74.0 96.0
## 322 36.9 30.2 34.6 17.5 26.2 13.2 10.4 19.4 14.3 98.8 85.0 66.6 82.0 98.7
## 323 36.0 28.6 32.0 17.5 24.1 12.8 9.8 18.7 13.8 92.2 79.1 64.6 82.5 94.9
## 324 36.2 30.2 31.2 16.8 27.7 11.5 9.4 17.4 13.1 97.3 85.0 65.7 77.7 90.5
## 325 35.1 28.1 30.0 17.1 25.2 12.0 9.6 19.0 14.2 90.5 79.0 63.0 79.2 86.6
## 326 38.8 27.2 33.4 17.2 31.6 12.9 11.0 18.2 13.4 110.5 96.2 78.5 93.4 103.0
## 327 36.4 26.2 32.2 17.3 25.8 13.1 10.1 17.9 12.6 103.0 86.0 68.2 76.2 97.9
## 328 38.6 24.2 34.4 15.3 29.0 13.1 10.4 22.1 14.4 109.0 89.8 68.5 80.2 98.1
## 329 36.5 26.0 30.7 15.9 26.8 12.1 10.3 17.0 12.4 104.8 84.5 68.8 70.6 94.8
## 330 37.5 27.4 31.2 18.9 26.5 14.0 11.0 19.1 13.5 109.2 88.2 69.0 77.6 96.5
## 331 39.9 20.0 32.4 17.6 31.9 13.6 10.4 18.5 13.4 117.0 99.5 78.0 87.5 103.0
## 332 34.4 26.1 30.5 18.8 25.2 12.0 9.9 17.5 12.7 93.9 76.1 62.0 70.8 86.8
## 333 38.7 23.5 33.0 16.4 27.6 12.6 9.9 17.5 12.6 105.5 85.8 65.8 70.5 89.3
## 334 32.6 24.6 29.4 15.8 25.0 11.3 9.2 16.9 11.9 99.4 82.0 65.0 77.2 89.5
## 335 34.5 25.6 29.2 18.0 24.2 10.1 9.0 16.3 11.5 89.5 77.5 64.9 74.5 88.4
## 336 36.7 28.2 33.0 17.5 25.6 12.2 10.1 17.8 13.5 98.5 85.7 71.5 82.0 100.5
## 337 36.5 27.0 31.6 16.6 24.4 11.9 9.7 18.0 12.5 94.9 78.8 61.4 78.8 94.0
## 338 34.2 28.0 31.0 20.4 25.6 12.4 9.7 18.5 13.0 96.3 88.0 75.4 90.0 101.3
## 339 37.8 28.6 30.7 17.3 25.4 11.8 10.6 18.8 13.3 96.8 80.2 67.2 78.3 95.5
## 340 35.7 25.5 32.5 16.0 27.2 11.9 10.0 18.6 13.6 102.5 85.6 69.5 75.5 95.3
## 341 33.9 24.3 29.5 15.8 26.0 11.6 9.4 16.3 11.2 95.2 81.3 57.9 66.4 84.1
## 342 35.2 24.1 26.9 17.9 23.6 12.0 9.5 17.5 11.5 103.0 84.6 64.4 77.9 91.0
## 343 37.1 24.3 28.4 16.2 25.8 12.1 9.8 16.8 12.2 99.1 82.2 62.3 68.7 83.9
## 344 37.7 26.2 30.8 17.8 25.2 12.4 10.2 17.2 11.8 104.1 84.9 68.7 78.6 93.1
## 345 37.8 28.1 30.0 17.9 24.9 11.1 9.6 18.0 13.2 99.5 81.5 68.0 84.6 92.3
## 346 39.3 24.5 32.3 21.4 29.5 13.4 10.9 18.2 13.0 110.2 89.9 66.0 79.9 97.1
## 347 37.2 24.4 29.4 18.1 27.3 12.3 9.9 17.1 12.2 107.1 89.8 71.2 85.7 97.5
## 348 36.1 26.8 31.0 16.2 24.0 11.0 8.9 17.8 12.2 95.7 80.8 64.8 79.8 92.0
## 349 35.2 25.1 33.0 20.0 26.6 11.6 9.1 21.0 12.6 103.4 88.4 78.0 85.6 112.1
## 350 35.8 27.7 28.9 16.4 25.6 11.5 9.1 17.1 12.3 94.6 80.2 60.7 77.0 89.9
## 351 35.0 25.6 32.5 17.9 27.0 12.6 9.8 18.6 12.9 104.5 89.5 75.0 95.0 104.9
## 352 37.8 29.9 31.1 17.3 25.8 10.9 9.4 15.7 11.5 97.7 83.7 68.6 83.0 94.2
## 353 35.7 27.0 29.8 16.5 26.2 12.1 9.6 18.0 13.6 96.4 82.5 67.1 75.0 90.4
## 354 39.5 29.8 31.5 19.2 25.4 13.0 10.6 19.1 13.4 103.0 85.5 68.0 84.5 99.5
## 355 38.8 26.3 31.5 19.0 25.9 11.6 9.9 18.8 13.1 103.4 88.3 71.0 87.1 98.7
## 356 37.9 29.0 32.9 18.6 27.0 12.7 10.6 18.2 12.1 109.5 91.5 76.0 82.5 103.5
## 357 37.7 25.0 30.4 16.6 29.3 12.4 10.2 18.6 12.7 110.7 92.2 70.3 82.8 100.0
## 358 38.2 25.9 30.2 16.9 24.8 11.7 9.4 16.9 11.7 102.2 80.5 69.5 81.0 95.2
## 359 40.0 31.0 35.8 21.3 33.2 14.1 12.2 24.3 12.9 129.5 108.0 101.5 105.5 114.0
## 360 35.7 28.3 29.6 17.4 23.3 10.7 8.7 16.8 11.3 99.2 80.0 67.2 75.2 91.2
## 361 35.7 25.9 29.3 14.7 29.1 13.2 10.9 18.1 13.1 104.7 89.5 68.7 81.0 93.8
## 362 36.0 27.6 29.0 18.6 25.0 11.8 9.2 18.0 11.4 98.9 84.9 66.0 81.0 92.0
## 363 35.0 25.0 27.2 15.4 23.4 10.8 8.7 16.8 12.2 98.5 80.8 67.5 75.4 85.8
## 364 37.0 26.9 32.4 16.6 25.4 12.9 10.0 18.1 13.1 102.2 81.0 65.2 75.9 95.4
## 365 36.7 23.5 29.5 17.2 28.3 11.5 9.5 16.1 9.9 100.2 88.7 64.2 76.8 88.4
## 366 32.8 26.2 26.3 16.1 23.6 10.6 9.2 16.4 11.7 85.9 74.5 61.0 65.3 84.5
## 367 34.8 20.3 31.0 17.3 26.8 11.6 9.8 17.9 12.4 99.8 81.9 60.2 64.2 91.7
## 368 35.0 23.7 29.0 15.4 23.6 11.5 9.6 16.6 11.6 93.3 75.8 62.6 72.9 87.4
## 369 38.7 27.1 31.4 16.5 27.5 12.8 9.2 18.8 12.5 107.3 88.0 72.7 76.7 95.9
## 370 32.8 20.9 28.2 17.2 22.2 11.3 9.5 16.0 11.2 90.0 72.6 58.5 67.2 84.3
## 371 36.7 23.0 30.8 17.0 27.6 13.1 11.0 17.0 12.9 101.5 88.0 67.5 79.5 96.5
## 372 38.8 26.5 29.8 17.4 28.2 12.0 9.4 17.7 12.6 105.1 86.0 66.1 73.2 91.8
## 373 36.4 24.9 30.8 16.5 26.7 12.4 10.5 18.4 12.8 101.0 85.5 68.0 86.1 101.0
## 374 34.0 27.8 29.6 16.5 24.4 9.9 8.9 17.0 11.5 91.9 80.4 64.0 85.0 92.6
## 375 38.2 27.5 30.0 20.4 29.2 11.8 9.2 17.8 11.5 112.1 98.1 90.1 90.1 95.2
## 376 35.1 23.4 30.6 16.2 26.8 12.1 9.4 16.1 12.2 98.2 82.0 64.1 74.1 96.0
## 377 36.0 25.2 28.4 15.4 26.9 11.2 9.9 16.8 12.1 102.5 89.0 72.4 80.3 89.9
## 378 35.9 25.1 28.2 18.1 26.1 11.6 8.5 16.8 11.0 98.4 85.8 71.0 85.0 92.7
## 379 35.0 27.1 30.1 19.5 24.9 12.4 9.9 18.2 12.5 96.8 85.9 69.1 77.2 94.1
## 380 35.2 24.4 29.8 15.1 26.0 13.0 9.2 17.3 12.2 103.9 82.5 66.1 74.9 93.8
## 381 34.9 26.2 28.5 14.6 23.5 10.4 8.7 16.0 11.1 92.7 74.5 59.5 65.5 78.8
## 382 36.0 28.1 31.0 18.8 27.4 11.5 9.7 17.5 12.8 105.0 89.4 71.5 80.6 96.0
## 383 36.4 27.7 29.8 17.0 25.0 11.2 9.0 16.9 12.2 94.0 80.3 65.0 73.3 84.9
## 384 35.5 27.7 30.7 20.6 24.9 11.6 8.9 17.9 11.5 101.5 85.6 71.5 82.0 97.5
## 385 34.1 18.7 27.2 16.1 24.6 11.2 9.5 16.1 11.9 92.0 83.0 63.0 72.0 86.0
## 386 37.1 25.0 29.3 17.1 28.1 13.0 10.9 17.5 13.0 108.5 88.2 70.0 81.2 96.8
## 387 35.2 26.0 30.4 17.3 25.5 11.1 9.0 17.1 12.0 93.8 85.5 70.4 82.4 93.5
## 388 37.5 26.0 29.4 17.6 26.5 12.3 10.4 18.3 12.7 99.8 80.6 64.3 75.0 93.0
## 389 36.3 24.9 31.0 16.6 27.7 12.5 10.0 18.1 13.0 100.3 81.0 66.0 73.2 90.2
## 390 37.2 26.0 28.5 18.8 25.0 12.3 9.7 18.4 13.0 101.5 83.6 70.5 78.5 91.9
## 391 37.6 27.7 30.2 17.4 25.7 12.0 9.1 17.5 12.1 94.7 79.4 62.0 73.0 88.5
## 392 33.6 24.3 27.9 18.2 24.7 11.0 8.4 16.6 11.1 103.1 82.9 67.6 73.9 90.2
## 393 34.5 29.2 31.9 18.3 23.6 11.0 9.3 18.7 12.4 94.5 83.2 65.0 80.9 97.6
## 394 36.0 27.1 31.4 18.5 24.6 11.9 9.4 15.9 11.9 97.1 78.1 64.0 75.9 95.0
## 395 35.4 27.0 29.0 17.8 25.0 11.6 9.2 18.2 12.1 98.0 82.4 70.5 81.6 98.0
## 396 35.8 28.3 30.2 19.2 24.9 12.0 9.2 18.4 14.2 102.4 90.0 79.2 95.2 97.4
## 397 38.3 28.3 32.4 18.7 28.3 13.9 10.6 18.9 14.0 109.1 92.4 71.1 91.5 98.2
## 398 33.8 28.7 32.9 17.7 23.5 12.6 9.4 18.2 13.2 94.7 86.7 74.7 90.8 100.0
## 399 36.9 31.1 33.8 16.8 26.6 13.0 9.8 18.4 13.8 98.2 84.0 62.9 76.8 95.5
## 400 34.9 28.0 33.1 18.0 26.1 12.6 9.6 18.8 12.2 101.5 86.0 70.6 91.9 101.9
## 401 35.1 28.3 29.7 18.2 27.3 13.0 9.3 17.7 13.8 96.6 84.5 61.6 81.0 87.6
## 402 37.4 30.2 34.2 21.6 28.3 13.2 10.0 19.6 14.1 106.1 91.2 74.2 98.2 102.6
## 403 36.9 27.5 31.1 16.3 26.6 12.8 9.8 18.0 14.0 100.1 81.1 65.5 82.3 90.4
## 404 36.0 28.0 30.4 16.3 26.4 12.2 9.2 17.6 12.8 105.3 87.6 67.7 84.2 92.0
## 405 32.9 26.6 32.2 18.5 25.2 12.0 8.4 19.4 12.0 99.8 88.2 72.9 97.4 102.2
## 406 38.3 31.7 37.4 19.2 28.5 13.2 9.3 18.6 13.8 103.9 88.2 72.1 96.3 106.7
## 407 37.6 30.7 35.6 24.7 32.2 14.0 10.6 21.2 14.5 111.0 104.2 93.4 111.1 109.8
## 408 36.7 28.0 31.7 17.3 27.3 13.1 10.6 18.4 13.4 99.0 84.8 60.7 78.0 89.1
## 409 38.9 25.2 31.5 17.3 24.2 12.9 9.8 18.0 12.8 102.5 84.3 69.2 85.3 93.0
## 410 37.8 28.0 32.0 16.8 28.3 12.7 9.8 18.1 13.2 105.6 91.0 75.5 90.7 98.6
## 411 38.0 31.7 32.9 22.3 25.2 12.4 10.0 19.6 13.8 99.5 90.5 85.6 111.7 112.1
## 412 38.7 30.4 31.3 18.7 26.8 12.4 10.0 19.4 13.6 106.5 89.6 71.6 92.7 95.0
## 413 37.1 27.1 32.6 17.3 26.6 13.2 10.3 19.0 14.4 104.1 89.3 75.5 98.9 100.2
## 414 35.8 30.2 33.5 20.6 27.5 12.4 9.4 18.4 13.0 99.7 90.0 73.7 92.7 101.2
## 415 38.5 30.4 35.1 18.2 27.3 13.8 10.7 19.0 14.4 106.6 88.2 67.9 86.9 100.8
## 416 38.5 30.8 35.1 15.8 27.3 13.1 10.6 18.6 14.2 97.2 83.5 71.2 83.0 96.5
## 417 36.0 30.2 32.9 18.7 27.8 12.4 9.6 18.4 14.2 100.8 91.0 69.3 85.9 93.2
## 418 34.0 26.4 29.9 19.2 27.5 11.8 9.4 17.3 12.4 100.7 88.2 75.6 94.7 95.8
## 419 38.3 26.6 33.3 18.2 26.4 13.1 10.8 20.0 13.8 99.1 82.2 63.8 81.8 97.6
## 420 38.7 33.3 33.8 20.9 30.2 14.0 10.5 18.9 14.8 108.9 98.9 83.6 108.6 108.3
## 421 36.9 29.0 33.5 20.9 30.2 12.7 9.6 18.6 14.2 109.8 97.9 84.9 98.0 102.4
## 422 35.8 26.6 31.1 18.5 24.7 12.4 9.6 17.9 13.8 99.5 81.7 66.0 85.0 94.3
## 423 36.7 29.0 32.0 19.7 25.6 12.4 10.0 18.6 13.0 100.5 86.1 68.3 85.3 96.5
## 424 36.7 28.0 31.1 19.4 27.5 12.9 10.0 17.9 14.0 97.4 87.1 63.8 88.3 94.0
## 425 37.6 31.3 33.5 17.0 25.4 12.4 9.4 19.2 11.5 105.0 76.8 73.6 106.3 106.2
## 426 35.1 23.7 31.1 18.5 25.9 12.8 10.0 17.7 12.8 102.9 87.9 76.3 93.8 98.6
## 427 35.3 23.3 28.3 15.3 24.7 12.4 10.2 17.1 13.4 93.9 81.6 58.8 77.4 89.3
## 428 38.5 26.6 34.0 22.3 26.6 13.8 10.7 20.0 15.5 114.2 92.3 78.0 100.9 106.9
## 429 37.8 29.4 32.2 15.8 27.5 11.8 9.8 18.2 13.8 95.9 81.3 64.5 80.8 91.9
## 430 35.1 25.6 29.9 16.8 24.9 12.6 9.6 18.2 12.5 98.7 82.2 65.8 80.2 89.1
## 431 32.4 30.2 33.8 15.3 25.6 12.2 10.2 17.9 13.4 91.2 78.6 62.5 84.5 95.5
## 432 39.2 31.3 33.8 17.7 29.7 13.2 9.6 17.8 14.4 105.1 94.3 77.5 93.9 101.1
## 433 38.3 30.8 35.6 17.0 26.8 13.6 10.4 19.0 13.6 102.3 89.5 70.0 89.6 98.9
## 434 32.9 20.9 28.5 19.0 23.0 12.2 9.1 16.0 12.7 93.1 81.0 59.4 73.7 83.3
## 435 38.0 28.3 31.1 17.7 26.1 12.2 10.2 17.3 13.0 101.7 85.4 68.3 84.0 94.0
## 436 37.8 32.0 33.8 16.8 26.6 13.4 10.4 18.8 13.4 105.0 86.2 77.9 96.0 100.1
## 437 34.2 29.2 31.1 18.0 25.9 12.8 9.8 17.6 13.4 96.4 85.3 68.3 88.0 93.8
## 438 37.6 31.3 35.3 20.2 27.3 11.3 9.4 18.9 13.8 103.5 86.1 72.0 91.9 103.9
## 439 35.3 25.4 31.3 17.3 25.4 12.4 10.0 17.5 13.6 99.8 84.5 62.7 78.3 93.5
## 440 34.9 27.3 32.2 17.7 25.4 12.6 9.0 17.4 12.2 87.0 72.6 58.0 82.9 90.2
## 441 37.4 32.0 34.7 19.7 25.9 13.0 10.0 18.4 13.4 105.2 90.0 72.7 97.2 100.2
## 442 36.2 31.1 34.7 21.1 26.8 12.9 10.4 18.6 14.0 102.1 95.8 85.4 105.2 109.5
## 443 38.9 29.0 33.1 16.3 25.9 12.2 10.2 18.8 13.8 101.3 85.5 67.3 86.9 97.6
## 444 36.0 30.4 32.9 18.2 24.7 13.4 10.5 19.5 13.6 99.6 85.7 70.8 92.1 96.9
## 445 33.3 25.9 29.9 18.0 25.6 12.0 9.2 17.6 12.9 99.4 85.4 67.4 85.9 90.3
## 446 37.4 29.4 32.6 19.9 27.1 13.4 10.2 18.4 14.1 99.4 79.1 66.0 85.0 94.8
## 447 34.7 29.4 31.5 17.7 24.9 13.4 9.6 18.4 13.4 99.0 84.4 63.6 84.9 92.7
## 448 38.7 28.0 34.7 16.3 28.5 13.6 10.4 20.4 14.3 108.2 90.0 71.7 95.8 108.4
## 449 36.2 28.3 31.3 16.3 25.4 12.2 9.6 16.8 12.9 96.4 82.9 73.6 86.9 94.7
## 450 37.6 27.8 31.1 19.9 25.9 12.9 9.6 17.2 13.8 101.4 87.3 66.9 83.3 90.6
## 451 34.9 26.1 29.0 16.5 25.6 12.0 9.2 17.3 13.2 98.2 85.3 65.5 76.7 90.8
## 452 34.7 24.7 32.0 17.7 25.2 12.8 10.4 18.4 13.8 100.6 87.3 70.4 91.1 96.7
## 453 34.0 26.8 32.2 17.3 28.7 11.2 9.1 17.4 12.9 108.4 93.2 80.3 98.0 101.2
## 454 37.8 28.5 33.5 18.0 27.1 12.9 10.4 18.6 13.4 100.8 84.7 65.0 84.5 94.7
## 455 35.1 27.8 30.6 16.3 26.8 11.6 9.6 17.2 12.0 94.8 78.0 60.4 79.2 87.0
## 456 39.2 29.9 34.9 18.5 26.4 14.3 10.8 19.6 14.4 108.2 90.7 75.3 96.3 103.6
## 457 35.1 29.9 35.3 18.0 28.5 13.8 10.5 20.0 14.3 110.7 95.0 83.4 100.5 107.5
## 458 37.1 29.2 32.0 18.0 26.1 13.2 10.2 19.2 14.4 102.6 88.7 72.2 87.8 96.1
## 459 35.8 29.4 30.8 17.0 26.6 12.2 10.8 17.6 13.4 98.1 86.6 70.1 86.2 97.6
## 460 35.3 26.8 31.7 18.5 23.3 11.5 9.2 17.8 12.6 92.0 82.5 69.8 86.4 100.2
## 461 37.6 26.8 31.1 16.5 24.0 11.8 10.2 18.4 12.8 98.6 81.4 66.4 78.5 91.6
## 462 35.8 29.0 30.6 18.0 24.2 12.4 10.5 17.9 13.4 96.1 79.9 61.7 79.7 94.7
## 463 36.0 29.2 33.5 17.5 27.8 11.6 10.5 18.7 14.2 107.7 91.1 76.4 98.3 107.0
## 464 35.6 28.3 28.0 14.4 23.7 11.7 9.6 16.4 13.0 95.4 80.1 63.8 72.5 86.3
## 465 37.1 27.8 31.7 20.6 26.4 12.4 10.4 18.2 13.2 99.3 86.4 70.2 86.7 97.8
## 466 35.6 30.2 32.9 21.8 26.8 13.0 11.0 20.6 14.3 115.2 105.2 88.2 106.5 107.9
## 467 35.1 29.4 33.1 17.7 27.3 12.8 10.3 18.7 13.6 96.7 91.1 75.8 94.4 103.3
## 468 35.8 26.8 30.4 23.3 25.6 12.4 10.3 17.5 13.0 109.0 96.7 81.5 94.1 94.9
## 469 37.4 29.4 31.7 16.5 25.9 12.2 10.8 19.4 14.3 95.1 80.5 67.4 77.7 95.1
## 470 38.9 28.5 34.0 19.2 27.5 13.3 10.3 19.1 14.2 108.4 90.4 78.3 95.4 104.9
## 471 37.4 29.0 32.9 17.7 23.5 12.7 10.0 18.2 13.8 98.2 84.1 65.9 83.7 96.3
## 472 37.6 28.3 29.4 16.8 25.4 13.2 10.0 17.8 14.2 99.7 84.2 62.4 81.4 90.4
## 473 35.1 26.6 29.2 17.0 24.4 11.8 9.4 17.0 12.2 94.4 82.5 65.6 81.8 92.8
## 474 38.0 33.3 37.8 20.6 28.3 15.0 11.5 22.6 13.8 127.1 106.9 96.2 121.1 128.3
## 475 36.7 25.2 29.2 18.5 24.2 12.0 9.0 17.0 11.8 94.9 79.9 62.5 74.0 87.6
## 476 35.6 29.9 33.5 18.2 24.9 13.2 11.0 19.2 13.8 98.9 93.0 80.5 98.8 107.2
## 477 35.6 30.8 33.8 26.8 27.1 12.4 10.2 18.2 14.0 106.4 96.3 86.1 107.4 112.0
## 478 35.6 27.3 31.7 17.5 27.3 12.4 9.8 17.6 12.7 102.2 86.8 71.3 85.7 94.0
## 479 37.8 29.0 32.4 20.6 28.5 12.7 9.1 18.2 13.2 110.3 95.3 79.4 90.9 102.7
## 480 40.9 28.7 29.2 18.2 27.3 12.9 9.6 16.8 13.4 107.3 93.0 72.3 89.0 92.0
## 481 34.0 25.9 29.4 20.2 24.2 11.4 9.6 16.6 12.6 95.0 86.4 67.4 86.7 98.4
## 482 34.9 31.3 31.7 20.9 31.5 13.0 9.6 17.8 13.7 115.6 109.0 94.2 110.5 103.5
## 483 35.8 31.5 32.6 17.5 25.2 12.9 9.8 17.9 13.4 99.3 86.2 67.0 85.3 96.7
## 484 36.5 27.5 30.8 18.5 24.5 11.6 9.6 17.0 11.7 93.1 85.3 69.5 86.2 90.6
## 485 32.9 26.8 28.7 16.3 24.4 11.0 8.6 16.4 12.6 94.9 84.2 66.4 79.3 92.0
## 486 36.9 28.5 31.5 15.6 27.8 11.6 9.8 17.2 12.9 100.0 83.7 67.6 84.1 90.4
## 487 35.8 29.4 32.0 18.0 25.9 11.8 9.8 18.0 12.7 98.6 86.5 66.6 87.5 96.7
## 488 39.4 28.3 30.2 21.6 29.7 12.8 10.5 19.5 14.4 107.2 98.2 69.7 86.0 94.9
## 489 36.5 28.3 29.7 17.7 26.4 12.0 10.0 17.1 12.8 98.3 88.0 72.0 86.0 95.5
## 490 35.8 27.3 28.5 18.2 23.5 11.2 10.2 17.5 12.9 92.4 80.4 64.5 81.7 88.4
## 491 34.4 29.7 31.7 17.5 24.7 12.6 10.2 17.7 12.4 93.0 86.0 72.3 91.7 97.8
## 492 36.5 26.6 30.8 16.0 24.9 12.6 10.7 17.0 13.0 99.5 86.4 69.1 87.8 95.4
## 493 38.5 25.6 31.7 17.0 25.6 11.8 10.2 16.8 12.9 92.8 87.6 74.7 77.0 97.7
## 494 35.3 25.4 28.5 15.1 24.9 10.6 10.4 17.0 12.6 95.9 80.9 60.8 77.4 84.6
## 495 36.2 28.7 27.8 16.0 23.7 12.4 10.2 17.9 13.2 96.1 82.1 66.9 82.4 91.6
## 496 34.9 28.7 32.9 16.8 26.8 13.4 10.8 17.9 12.9 98.5 89.3 68.8 90.8 103.3
## 497 38.7 29.7 32.0 15.8 26.4 12.8 10.5 18.4 13.8 103.8 85.3 63.7 85.3 96.3
## 498 37.6 25.2 29.0 19.2 27.1 14.0 11.0 18.9 13.2 105.0 89.0 71.2 86.1 93.5
## 499 34.7 29.4 33.5 17.7 25.4 12.4 10.8 20.2 12.8 100.2 94.1 79.6 103.5 104.3
## 500 37.8 29.7 31.3 18.5 26.6 13.4 11.2 18.4 14.2 99.1 90.8 77.9 90.6 96.3
## 501 39.8 27.5 31.5 19.4 29.0 13.1 10.4 17.6 13.8 107.6 97.0 69.6 90.2 98.3
## 502 36.5 29.7 34.0 20.2 28.5 13.3 9.8 18.9 12.4 104.0 95.4 86.0 107.1 112.1
## 503 38.0 30.4 32.9 17.0 27.1 12.9 10.4 19.5 14.4 108.4 91.8 69.9 90.4 101.0
## 504 35.3 28.7 30.4 17.7 25.6 12.4 9.8 17.3 13.6 99.3 87.3 63.5 79.2 89.5
## 505 34.7 24.9 24.7 17.3 24.2 12.0 10.2 18.0 13.6 91.9 78.1 57.9 75.1 86.9
## 506 38.5 29.0 32.9 15.3 25.6 12.0 9.8 18.6 13.3 107.1 90.9 72.2 89.4 98.6
## 507 35.6 29.0 29.0 20.4 26.8 13.4 10.8 18.7 13.8 100.5 97.1 80.4 100.8 102.2
## V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25
## 1 51.5 32.5 26.0 34.5 36.5 23.5 16.5 21 65.6 174.0 1
## 2 51.5 34.4 28.0 36.5 37.5 24.5 17.0 23 71.8 175.3 1
## 3 57.3 33.4 28.8 37.0 37.3 21.9 16.9 28 80.7 193.5 1
## 4 53.0 31.0 26.2 37.0 34.8 23.0 16.6 23 72.6 186.5 1
## 5 55.4 32.0 28.4 37.7 38.6 24.4 18.0 22 78.8 187.2 1
## 6 57.5 33.0 28.0 36.6 36.1 23.5 16.9 21 74.8 181.5 1
## 7 60.9 42.4 32.3 40.1 40.3 23.6 18.8 26 86.4 184.0 1
## 8 56.0 34.1 28.0 39.2 36.7 22.5 18.0 27 78.4 184.5 1
## 9 50.0 33.0 26.0 35.5 35.0 22.0 16.5 23 62.0 175.0 1
## 10 59.8 36.5 29.2 38.3 38.6 22.2 16.9 21 81.6 184.0 1
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## 501 56.3 32.0 25.1 32.3 33.8 20.8 15.9 32 61.4 162.6 0
## 502 64.4 32.3 26.4 35.7 37.0 21.4 15.8 40 76.8 157.5 0
## 503 60.6 30.3 25.4 37.7 37.9 22.4 15.4 29 71.8 176.5 0
## 504 55.2 30.1 23.6 35.6 33.3 22.4 15.2 21 55.5 164.4 0
## 505 51.8 27.4 24.0 34.4 34.1 21.2 15.5 33 48.6 160.7 0
## 506 59.0 30.6 24.9 38.4 36.6 22.0 15.5 33 66.4 174.0 0
## 507 57.4 33.2 25.5 39.6 35.9 23.0 16.4 38 67.3 163.8 0##Seleccionar y poner nombres de columnas a las columnas 23, 24 y 25 solamente
colnames(datos)[23:25] <- c("peso", "estatura", "genero")
kable(head(datos))| V1 | V2 | V3 | V4 | V5 | V6 | V7 | V8 | V9 | V10 | V11 | V12 | V13 | V14 | V15 | V16 | V17 | V18 | V19 | V20 | V21 | V22 | peso | estatura | genero |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 42.9 | 26.0 | 31.5 | 17.7 | 28.0 | 13.1 | 10.4 | 18.8 | 14.1 | 106.2 | 89.5 | 71.5 | 74.5 | 93.5 | 51.5 | 32.5 | 26.0 | 34.5 | 36.5 | 23.5 | 16.5 | 21 | 65.6 | 174.0 | 1 |
| 43.7 | 28.5 | 33.5 | 16.9 | 30.8 | 14.0 | 11.8 | 20.6 | 15.1 | 110.5 | 97.0 | 79.0 | 86.5 | 94.8 | 51.5 | 34.4 | 28.0 | 36.5 | 37.5 | 24.5 | 17.0 | 23 | 71.8 | 175.3 | 1 |
| 40.1 | 28.2 | 33.3 | 20.9 | 31.7 | 13.9 | 10.9 | 19.7 | 14.1 | 115.1 | 97.5 | 83.2 | 82.9 | 95.0 | 57.3 | 33.4 | 28.8 | 37.0 | 37.3 | 21.9 | 16.9 | 28 | 80.7 | 193.5 | 1 |
| 44.3 | 29.9 | 34.0 | 18.4 | 28.2 | 13.9 | 11.2 | 20.9 | 15.0 | 104.5 | 97.0 | 77.8 | 78.8 | 94.0 | 53.0 | 31.0 | 26.2 | 37.0 | 34.8 | 23.0 | 16.6 | 23 | 72.6 | 186.5 | 1 |
| 42.5 | 29.9 | 34.0 | 21.5 | 29.4 | 15.2 | 11.6 | 20.7 | 14.9 | 107.5 | 97.5 | 80.0 | 82.5 | 98.5 | 55.4 | 32.0 | 28.4 | 37.7 | 38.6 | 24.4 | 18.0 | 22 | 78.8 | 187.2 | 1 |
| 43.3 | 27.0 | 31.5 | 19.6 | 31.3 | 14.0 | 11.5 | 18.8 | 13.9 | 119.8 | 99.9 | 82.5 | 80.1 | 95.3 | 57.5 | 33.0 | 28.0 | 36.6 | 36.1 | 23.5 | 16.9 | 21 | 74.8 | 181.5 | 1 |
datos <- select(datos, peso, estatura, genero)
kable(head(datos))| peso | estatura | genero |
|---|---|---|
| 65.6 | 174.0 | 1 |
| 71.8 | 175.3 | 1 |
| 80.7 | 193.5 | 1 |
| 72.6 | 186.5 | 1 |
| 78.8 | 187.2 | 1 |
| 74.8 | 181.5 | 1 |
| ##Poner | la columna | genero como factor 1, 0 |
datos$genero <- as.factor(datos$genero)##Ver estadísticas:
summary(datos)## peso estatura genero
## Min. : 42.00 Min. :147.2 0:260
## 1st Qu.: 58.40 1st Qu.:163.8 1:247
## Median : 68.20 Median :170.3
## Mean : 69.15 Mean :171.1
## 3rd Qu.: 78.85 3rd Qu.:177.8
## Max. :116.40 Max. :198.1##Visulizar datos con diagrama de cajas. Peso
ggplot(datos, aes(genero, peso)) +
geom_boxplot(colour = c("deeppink", "dodgerblue4"))
##Visulizar datos con diagrama de cajas. Estatura
ggplot(datos, aes(genero, estatura)) +
geom_boxplot(colour = c("deeppink", "dodgerblue4"))
##Filtrar masculinos y femeninos
masculinos <- filter(datos, genero == 1)
summary(masculinos)## peso estatura genero
## Min. : 53.90 Min. :157.2 0: 0
## 1st Qu.: 70.95 1st Qu.:172.9 1:247
## Median : 77.30 Median :177.8
## Mean : 78.14 Mean :177.7
## 3rd Qu.: 85.50 3rd Qu.:182.7
## Max. :116.40 Max. :198.1femeninos <- filter(datos, genero == 0)
summary(femeninos)## peso estatura genero
## Min. : 42.0 Min. :147.2 0:260
## 1st Qu.: 54.5 1st Qu.:160.0 1: 0
## Median : 59.0 Median :164.5
## Mean : 60.6 Mean :164.9
## 3rd Qu.: 65.6 3rd Qu.:169.5
## Max. :105.2 Max. :182.9##Calculando estadísticos de masculinos y femeninos peso
media.peso.m <- mean(masculinos$peso)
desv.std.peso.m <- sd(masculinos$peso)
media.peso.f <- mean(femeninos$peso)
desv.std.peso.f <- sd(femeninos$peso)
media.peso.m## [1] 78.14453desv.std.peso.m## [1] 10.51289media.peso.f## [1] 60.60038desv.std.peso.f## [1] 9.615699##Calculando estadísticos de masculinos y femeninos estatura
media.estatura.m <- mean(masculinos$estatura)
desv.std.estatura.m <- sd(masculinos$estatura)
media.estatura.f <- mean(femeninos$estatura)
desv.std.estatura.f <- sd(femeninos$estatura)
media.estatura.m## [1] 177.7453desv.std.estatura.m## [1] 7.183629media.estatura.f## [1] 164.8723desv.std.estatura.f## [1] 6.544602###Calcular probabilidades PESO ##1. ¿Cual es la probabilidad de elegir a una persona al azar que sea varón masculinosy que pese mas de 60 kilos
plotDist("norm", mean = media.peso.m, sd = desv.std.peso.m, groups = x > 60, type = "h", xlab = "Peso Hombres", ylab = "Densidad" )
pnorm(q = 60, mean = media.peso.m, sd = desv.std.peso.m, lower.tail = FALSE)## [1] 0.95782021 - pnorm(q = 60, mean = media.peso.m, sd = desv.std.peso.m)## [1] 0.9578202##2. 4. ¿Cual es la probabilidad de elegir a una persona al azar que sea mujer femeninosy que pese mas de 55 kilos
plotDist("norm", mean = media.peso.f, sd = desv.std.peso.f, groups = x > 55, type = "h", xlab = "Peso Mujeres", ylab = "Densidad" )
pnorm(q = 55, mean = media.peso.f, sd = desv.std.peso.f, lower.tail = FALSE)## [1] 0.7198584##3. ¿Cual es la probabilidad de elegir a una persona al azar que sea varón masculinosy que mida mas de 165 cm de altura
plotDist("norm", mean = media.estatura.m, sd = desv.std.estatura.m, groups = x > 165, type = "h", xlab = "Estatura Hombres", ylab = "Densidad")
pnorm(q = 165, mean = media.estatura.m, sd = desv.std.estatura.m, lower.tail = FALSE)## [1] 0.9619867##4. ¿Cual es la probabilidad de elegir a una persona al azar que sea mujer femeninosy que mida mas de 155 de altura
plotDist("norm", mean = media.estatura.f, sd = desv.std.estatura.f, groups = x > 155, type = "h", xlab = "Estatura Mujeres", ylab = "Densidad")
pnorm(q = 155, mean =media.estatura.f, sd = desv.std.estatura.f, lower.tail = FALSE)## [1] 0.9342823