Project 2

z and t histograms from random data of sample size 9, 1000 columns, mean of 100 and std dev of 15.

The `Random.jl` package in Julia provides a comprehensive set of tools for generating pseudo-random numbers. It's a core package, meaning it's included with Julia and doesn't require separate installation. `Random.jl` is built upon the Mersenne Twister algorithm by default, but it offers a variety of other random number generators (RNGs) as well.