Quick-R: Probability Plots [PDF]

For example, rnorm(100, m=50, sd=10) generates 100 random deviates from a normal distribution with mean 50 and standard

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R Tutorial | R Interface | , lty=2, xlab="x value", ylab="Density", main="Comparison of t Distributions") for (i in 1:4){ lines(x, dt(x,degf[i]), lwd=2, col=colors[i]) } legend("topright", inset=.05, title="Distributions", labels, lwd=2, lty=c(1, 1, 1, 1, 2), col=colors)

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# Children's IQ scores are normally distributed with a # mean of 100 and a standard deviation of 15. What # proportion of children are expected to have an IQ between # 80 and 120? mean=100; sd=15 lb=80; ub=120 x

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