O seguinte trabalho apresentara distribuição normal das probabilidades demostrada no slide 7 e usara a tabela padrão para os resultados apresentados
library(RcmdrMisc)
## Carregando pacotes exigidos: car
## Carregando pacotes exigidos: carData
## Carregando pacotes exigidos: sandwich
.x <- seq(-3.291, 3.291, length.out=1000)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z", ylab="Densidade",regions=list(c(0, 4)), col=c('Darkgreen'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(0, 0.11)),
col=c('green'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(-2.2,0),c(0,0.12)),
col=c('Darkgreen', 'green'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(-1,0),c(0,2.1)),
col=c('Darkgreen','green'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(0,1.83)),
col=c('Darkgreen'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(-0.87,0),c(0,1.54)),
col=c('Darkgreen','green'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(1.54,10)),
col=c('Darkgreen'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(2.5,10)),
col=c('green'), legend=FALSE)
plotDistr(.x, dnorm(.x, mean=0, sd=1), cdf=FALSE, xlab="z",
ylab="Densidade",regions=list(c(-2.5,10)),
col=c('Darkgreen'), legend=FALSE)