#Exercise 2 [14 Points] Setting It is suggested that one of the algorithms to generate y ~ Uni f(a, b) is to do the following: Generate a random number x Convert this random number x to a sample y using (b - ay + a ##Q1. [8 Points] Construct a function with a, b, and N as the arguments. This function should return an array of N number of random samples y based on the algorithm listed. Run this function with a = 5, b = 10, and N = 1000 and visualize the distribution of the samples. In the same plot, plot the targeted theoretical distribution. Based on the plot, comment on whether this algorithm seems to be correct. In [O]: #Exercise 2 [14 Points] Setting It is suggested that one of the algorithms to generate y ~ Uni f(a, b) is to do the following: Generate a random number x Convert this random number x to a sample y using (b - ay + a ##Q1. [8 Points] Construct a function with a, b, and N as the arguments. This function should return an array of N number of random samples y based on the algorithm listed. Run this function with a = 5, b = 10, and N = 1000 and visualize the distribution of the samples. In the same plot, plot the targeted theoretical distribution. Based on the plot, comment on whether this algorithm seems to be correct. In [O]