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Data:
61.93 59.13 59.67 66.27 69.60 64.73 62.80 70.07 64.67 60.87 62.93 66.33 59.73 60.00 58.00 66.20 58.67 62.33 64.00 66.33 67.33 62.40 61.67 64.13 59.73 6.33 59.00 66.47 58.00 72.07 61.80 63.53 59.33 63.13 64.67 61.47 51.53 56.33 57.67 60.33 51.00 66.53 56.67 51.00 61.33 61.27 62.00 65.07 64.00 59.33 62.40 55.00 60.13 64.40 61.93 41.87 60.00 61.33 56.00 55.67 63.33 64.27 64.00 66.00 56.33 61.67 67.13 69.00 70.73 51.00 58.00 59.53 64.07 63.73 63.67 63.27 58.80 64.00 58.67 60.33 69.93 47.20 57.33 63.67 58.67 65.67 61.87 58.00 58.67 56.00 65.33 65.00 58.80 67.47 61.00 64.33 61.33 63.67 62.40 70.73 59.60 61.00 65.47 70.67 55.00 63.00 57.87 49.33 62.00 70.07 60.40 67.60 56.00 63.60 66.67 57.33 63.00 71.07 65.80 63.67 62.13 62.80 59.33 64.67 60.33 36.33 58.67 62.00 61.40 65.67 63.73 58.07 65.93 71.67 59.00 63.67 58.93 63.87 64.67 62.00 62.33 61.67 63.47 64.67 48.33 61.27 58.00 56.33 72.73 64.47 65.00 64.80 61.67 55.33 63.67 62.33 59.53 51.00 62.33 56.67 64.00 65.80 61.00 54.00 54.20 66.07 64.67 62.00 54.73 66.00 66.00 66.00 55.00 66.80 68.67 59.00 66.00 60.00 54.33 62.93 63.53 68.67 68.67 64.67 63.00 66.73 60.67 61.00 63.00 68.73 63.07 64.00 64.00 61.47 58.20 55.47 62.60 69.53 52.67 66.20 64.60 67.60 59.87 70.33 66.00 49.00 61.33 53.87 49.67 61.33 58.27 60.67 61.60 47.00 59.13 59.67 61.40 61.60 70.73 70.00 64.67 64.07 54.67 58.00 63.00 60.73 62.67 68.00 62.67 60.67 59.67 63.67 64.00 65.60 62.00 65.80 58.40 55.33 64.07 56.20 63.33 61.67 62.00 61.67 62.87 71.47 70.73 3.00 60.67 66.60 67.33 62.80 70.47 44.00 63.33 61.33 63.67 72.73 64.20 59.33 66.73 66.73 17.60 61.00 61.60 61.00 57.67 65.00 59.73 58.00 65.67 54.33 63.67 61.93 65.00 65.33 64.67 63.67 73.00 57.67 65.67 66.73 58.00 60.13 66.00 66.27 68.87 53.33 59.80 68.60 61.00 59.67 58.33 64.67 68.80 64.67 63.33 58.27 60.67 53.67 68.07 63.33 61.67 66.00 60.00 64.20 69.87 57.00 66.00 55.93 65.67 60.00 64.00 62.87 59.80 62.40 65.00 65.67 65.07 60.47 58.33 63.67 61.33 52.33 53.67 68.80 67.47 57.47 63.67 64.27 72.87 55.33 71.33 59.33 60.33 71.67 52.67 62.67 66.93 63.53 67.07 43.67 60.00 62.60 60.00 60.33 57.80 66.87 61.33 67.53 56.67 61.67 70.80 65.47 59.67 59.67 54.00 58.67 60.00 57.67 37.93 59.40 59.53 47.00 58.67 61.00 66.53 56.67 4.33
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R Code
bitmap(file='test1.png') par1 <- as.numeric(par1) myhist<-hist(x, breaks=par1, col=2) dev.off() bitmap(file='test2.png') qqnorm(x) qqline(x, col=2, xlab=xlab, ylab=ylab) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.element(a,hyperlink('http://www.xycoon.com/arithmetic_mean.htm','formula','click to see the formula')) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'standard deviation',header=TRUE) a<-table.element(a,sd(x)) a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','formula','click to see the formula')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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