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Please help with Matlab question. thanks! Random variables are characterized by their probability density functions (pdfs) and cumulative distribution functions (CDFs). Both functions can be
Please help with Matlab question.
thanks!
Random variables are characterized by their probability density functions (pdfs) and cumulative distribution functions (CDFs). Both functions can be used to compute probabilities for these random variables. For this exercise, do the following: 1. Use Matlab's pdf" function to create the pdfs for an exponential an exponential random variable X. Using a single for-loop, compute the following probabilities: P[0 6] 2. Do the same for when X is a Rayleigh and Weibull random variable. 3. Compute the same probabilities using Matlab's "cdf" function. Theoretically, they should give you the same answer, but in practice they may not -explain why. Random variables are characterized by their probability density functions (pdfs) and cumulative distribution functions (CDFs). Both functions can be used to compute probabilities for these random variables. For this exercise, do the following: 1. Use Matlab's pdf" function to create the pdfs for an exponential an exponential random variable X. Using a single for-loop, compute the following probabilities: P[0 6] 2. Do the same for when X is a Rayleigh and Weibull random variable. 3. Compute the same probabilities using Matlab's "cdf" function. Theoretically, they should give you the same answer, but in practice they may not -explain whyStep by Step Solution
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