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Section3.4-students_SP11

# Section3.4-students_SP11 - Probability Models for Random...

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1 Probability Models for Random Variables Most of our discussion of probability so far has been related to an experiment with a finite sample space where each outcome of the experiment is equally likely which lets us compute probabilities of events and define random variables which have probability distributions that we derive based on the experiment. (N total outcomes) Section 3.4 Probability Models for Random Variables In many applications, we identify an aspect of the experiment we are interested in: define a random variable to quantify this: assume a probability distribution for the random variable (a “ probability model ”) that is reasonable (based on known properties of the experiment and the probability distribution): answer the question we are interested in. “people calling in a tech support center” “X = number of calls per hour on the support line” “Poisson Distribution” Section 3.4

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