Write a Matlab/Python code to generate N continuous uniform, exponential, Bernoulli random variables, and N random...

 

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Write a Matlab/Python code to generate N continuous uniform, exponential, Bernoulli random variables, and N random variables from the following discrete distribution: P{X=1}=0.1, P{X=2}=0.3, P{X=3}=0.4, P{X=4}=0.2. Foll all distributions above your input should be the distribution parameters (by user choice). You should use the Inverse transform method, that is, you are allowed to use built-in functions to generate random numbers (uniform on (0,1)) but you have to write the code to realize the Inverse transform method. Don't use built- in functions for the Inverse transform method. For N=1,000 and the parameters of your choice provide histograms of the random variables generated along with the actual pdf (pmf). Write a Matlab/Python code to generate N continuous uniform, exponential, Bernoulli random variables, and N random variables from the following discrete distribution: P{X=1}=0.1, P{X=2}=0.3, P{X=3}=0.4, P{X=4}=0.2. Foll all distributions above your input should be the distribution parameters (by user choice). You should use the Inverse transform method, that is, you are allowed to use built-in functions to generate random numbers (uniform on (0,1)) but you have to write the code to realize the Inverse transform method. Don't use built- in functions for the Inverse transform method. For N=1,000 and the parameters of your choice provide histograms of the random variables generated along with the actual pdf (pmf).

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Solution Assuming Python import numpy as np For the Continuous Uniform a floatinputEnte... View the full answer