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####################
# Exercise 4.1.2
####################
rm(list = ls()) # Clear work space
# Number of samples
N <- 100
# Mean
mu <- 17
# Standard deviation
s <- 2
# Number of bins in histogram
NBins <- 20
# Generate samples from the Normal distribution
X <- rnorm(N, mean = mu, sd = s)
# Plot a histogram
{
par(mfrow = c(1, 2))
plot(X, main = "Generated data")
hist(X, breaks = NBins, main = "Histogram of generated data")
}
# Compute empirical mean and standard deviation
(mu_ <- mean(X))
(s_ <- sd(X))