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A continuous random variable Description: Often in simulating the behavior of real-world systems, we must produce normally distributed values for a property of a system

A continuous random variable Description: Often in simulating the behavior of real-world systems, we must produce normally distributed values for a property of a system (e.g., the average mass of a pebble in a pile of gravel). Produce a program that yields an array of data that is normally distributed around a specified mean and with a specified standard deviation. (Note: if I use a random number generator to produce a uniformly distributed value between 0 and 1, we can use this value as the dependent variable on a cumulative distribution function and find the independent variable value (x) corresponding to this probability. The values of x will be normally distributed.) Your program should output an array of size N that is normally distributed. You should do this work in a file called HW1SP22_Prob3.py Hint: from the module random, you should investigate the use of the functions: random() and normalvariate()

the program needs to write in python code.

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