Tutorial 2 provides codes for
different ways of task parallelism which is useful for Statistics especially
when independent jobs are assumed, for example, Monte Carlo, resampling,
bootstrap, multiple testing, etc.
We continuously use iris
dataset to perform the next
short examples to compute 95% confidence intervals for the mean of
each variable based on nonparametric bootstrap.
The wiki page
Iris flower data set gives the detail description.