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^(-1)(u), where u is a random number from a uniform distribution on [0,1].

What is a random number and why is it so difficult to generate them?

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Adrien Devresse on Random Number Generation in C | C Now posted on the topic | LinkedIn

SOLVED: Let the random variable X follow the Bernoulli distribution with parameter p = 0.69. Use the Data Analysis tool in Excel and set the random seed for Random Number Generation as 245.a) Generate 100 random samples of size 20 each, 50 each, and 200 each.b) For each a)(i) to a)(iii): (i) Compute the mean for each sample. (ii) Plot a histogram for the 100 means computed in b)(i).c) Describe and compare the three histograms obtained in part b. Comment on your observation of the shape of th

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