by using python student ID = 010187618

1) Create an array including your student ID (9 digits) five times. Construct a histogram or a bar graph for the array. Do not forget to normalize the histogram. Plot the cumulative density function of the array. What is the sample mean of the array. What is the expected value of the array. 2) The gamma distribution is characterized by the probability density function (PDF) where I (a) is the gamma function and a > 0: Ta-le-3 fx(x, a) = (1) T(a) In a single figure, show the PDFs of X with 50 samples where - the a equals to the last digit of your student ID. If it is equal to 0, take 1. the a equals to the eighth digit of your student ID. If it is equal to 0, take 10. . Comment on their variances considering the parameter a Create an array including 50 random variable following Gamma distribution and show its cumulative density function with a equal to the last digit of your student