To do this, you can use the Inverse Transform Sampling Method for random number generation from an arbitrary continuous distribution having an inverse. For a continuous random variable, X, having distribution Fx (x), it is possible to generate random deviates of X by forming Fx(u), where u is a random number from a uniform distribution on [0,1]. MC 3.10.6 After determining n analytically from problem 3.10.6, sample n values repeatedly from the distribution of Y. You will use the approach above, first finding the distribution function and then using the inverse distribution evaluated at a random uniform value on [0,1] to generate a random deviate for Y. For each of the repetitions of n values, sort the y values and identify the minimum y[1] for comparison to to 0.2. Compute the sample proportion in 1000 trials of n values to see if the P(Ymin 0.9. If your computed n is correct, the probability should be very close to 0.9.