ECE321+Reviewing+Session+2

ECE321+Reviewing+Session+2 - Example (Game – Frisbee)...

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ECE321 Reviewing Session H. Ge Example. Example. Example. Given the PMF of a random variable X, and the PMF of the random variable R as in (1), one can find the following probabilities using a “read-out” approach. That is
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Example (PMF vs. CDF) Given PMF of a random variable Y as, We know right away that Y is a discrete random variable, and even further, we can find the following probabilities (if they were asked in a typical problem setting) One can further infer that the given PMF will lead to a staircase CDF, and the jumps in the CDF occur at the values that U can take on. (You should be able to plot the CDF to verify such a fact) Example.
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Example.
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Unformatted text preview: Example (Game – Frisbee) Example (Paging system) Example. Example: Given the pdf of a random variable V as Defined a new random variable Then, one can calculate the followings: Example (Multiple random variable and its pdf) Given the joint pdf of random variable X and Y as, Example: How to use a table function from a standard normal N(0,1) distribution for calculating probability associated with any Gaussian distributed random variable Y. Example: Finding PDF of a function of two random variables, say W=Y-X, given the joint PDF of X and Y. Example (Independent random variables) Example Example Example Example: ACF and PSD Example Example:...
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This note was uploaded on 09/14/2011 for the course ECE 321 taught by Professor Hongyage during the Spring '11 term at NJIT.

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ECE321+Reviewing+Session+2 - Example (Game – Frisbee)...

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