Which of the Following Random Variables Is Geometric

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Answer the associated questions. In other words the cumulative distribution function for a random variable at x gives the probability that the random variable X is less than or equal to that number xNote that in the formula for CDFs of discrete random variables we always have where N is the number of possible outcomes of X.


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For each of the following descriptions of a random variable indicate whether it can best be modeled by binomial geometric Poisson uniform exponential or normal.

. Notice also that the CDF of a discrete random variable will remain. Note that not all of the experiments yield random variables that are.


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