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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
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plot.
x=c(23.3, 22.5, 21.9, 21.5, 19.9, 21.3, 21.7, 23.8, 22.6, 24.7) media=mean(x) std=sd(x) n=length(x) cat(“media=”,media,“desv.est=”,std) alfa=0.01 EE=qt(1-alfa/2,n-1)*std/sqrt(n) cat(“EE=”,EE,“”) LO=media-EE LU=media+EE cat(“[”,LO,”,”,LU,”]”)
x=c(13.8, 14.0, 13.2, 11.9, 12.0, 12.1) media=mean(x) std=sd(x) n=length(x) cat(“media=”,media,“desv.est=”,std) alfa=0.01 EE=qt(1-alfa/2,n-1)*std/sqrt(n) cat(“EE=”,EE,“”) LO=media-EE LU=media+EE cat(“[”,LO,”,”,LU,”]”)
x=c(5.12,5.20,5.15,5.17,5.16,5.19,5.15) n=length(x) media=mean(x) std=sd(x) alfa95=0.05 alfa99=0.01 t95=qt(1 - alfa95/2, df = n - 1) E95=t95 * std / sqrt(n) t99=qt(1 - alfa99/2, df = n - 1) E99=t99 * std / sqrt(n) cat(“Media del pH=”, media, “”) cat(“Desviacion estandar =”, std, “”) cat(“%”)
cat(“Limite inferior =”, media - E95, “”) cat(“Limite superior =”, media + E95, “”) cat(“%”)
cat(“Limite inferior =”, media - E99, “”) cat(“Limite superior =”, media + E99, “”)
##problema 3