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Jupyter notebook 2016-01-25-104344.ipynb

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Kernel: R
bodysize<-read.csv("Heigth.csv")
attach(bodysize)
bodysize
Males Females 1 170.00 165.00 2 167.00 165.00 3 190.00 167.00 4 170.00 152.00 5 178.00 163.00 6 175.00 163.00 7 190.00 147.00 8 177.00 156.00 9 177.00 156.00 10 172.00 135.00 11 178.00 160.00 12 170.18 160.00 13 NA 160.00 14 NA 157.00 15 NA 167.00 16 NA 165.00 17 NA 165.00 18 NA 154.94 19 NA 167.64 20 NA 168.91 21 NA 149.86 22 NA 152.40 23 NA 161.29 24 NA 160.02 25 NA 162.56 26 NA 165.10 27 NA 162.60 28 NA 153.00 29 NA 163.00 30 NA 163.00
Males<-na.omit(Males) Females<-na.omit(Females)
Males
[1] 170.00 167.00 190.00 170.00 178.00 175.00 190.00 177.00 177.00 172.00 [11] 178.00 170.18 attr(,"na.action") [1] 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 attr(,"class") [1] "omit"
Females
[1] 165.00 165.00 167.00 152.00 163.00 163.00 147.00 156.00 156.00 135.00 [11] 160.00 160.00 160.00 157.00 167.00 165.00 165.00 154.94 167.64 168.91 [21] 149.86 152.40 161.29 160.02 162.56 165.10 162.60 153.00 163.00 163.00
Height<-c(Males,Females)
Height
[1] 170.00 167.00 190.00 170.00 178.00 175.00 190.00 177.00 177.00 172.00 [11] 178.00 170.18 165.00 165.00 167.00 152.00 163.00 163.00 147.00 156.00 [21] 156.00 135.00 160.00 160.00 160.00 157.00 167.00 165.00 165.00 154.94 [31] 167.64 168.91 149.86 152.40 161.29 160.02 162.56 165.10 162.60 153.00 [41] 163.00 163.00