PLEASE DO THIS IN R ONLY, NOT PYTHON. IF YOUR CODE WORKS, I WILL UPVOTE!!! $3\mathrm{.}22$ Generate $n=50$ observations from a Gaussian AR$(1)$ model with $=\mathrm{.}99$ and

${}_w=1.$ Using an estimation technique of your choice, compare the approximate

asymptotic distribution of your estimate $($the one you would use for inference$)$ with

the results of a bootstrap experiment $($use $B=200).$