Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables...
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Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables each following (1) binomial distribution [p, n], (2) a geometric distribution [p], and (3) Poisson distribution [2]. You have to consider two sets of parameters per distribution which can be chosen arbitrarily. The following steps can be followed: Step 1: Establish two sets of parameters of the distribution: for Geometric and Poisson distributions take two values of p (p1 and p2) and take two values of [^], (21 and 22) respectively. For the binomial you should take two values of p and two values of n, first keep p fixed and change n, in the second keep n fixed and change p. Step 2: Generate the random variables (at least 10 values) [column 1] Step 3: Calculate the PMF [column 2] and CDF [column 3] Step 4: Plot the PMF and CDF in different graphics (It is recommended to combine the graphics while changing the parameters). Comment on how the parameters values affect the distribution. Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables each following (1) binomial distribution [p, n], (2) a geometric distribution [p], and (3) Poisson distribution [2]. You have to consider two sets of parameters per distribution which can be chosen arbitrarily. The following steps can be followed: Step 1: Establish two sets of parameters of the distribution: for Geometric and Poisson distributions take two values of p (p1 and p2) and take two values of [^], (21 and 22) respectively. For the binomial you should take two values of p and two values of n, first keep p fixed and change n, in the second keep n fixed and change p. Step 2: Generate the random variables (at least 10 values) [column 1] Step 3: Calculate the PMF [column 2] and CDF [column 3] Step 4: Plot the PMF and CDF in different graphics (It is recommended to combine the graphics while changing the parameters). Comment on how the parameters values affect the distribution.
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Related Book For
Probability and Random Processes With Applications to Signal Processing and Communications
ISBN: 978-0123869814
2nd edition
Authors: Scott Miller, Donald Childers
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