# day9 - Random Variables So far we have focused on...

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So far we have focused on probabilities of events or outcomes. Now we will classify those outcomes with random variables. A random variable is a numerical description of an experiment. Ex : Consider the experiment of tossing a coin twice. Let the random variable x be the number of heads. What are the possible values for x ? Discrete Random Variables A random variable that assumes either a ﬁnite number of values or an inﬁnite sequence of values such as 0 , 1 , 2 ,... Ex : Consider the experiment of running a restaurant for a day. Let the random variable x be the number of customers. What are the possible values for x ? Ex : Consider the experiment of selling a car. Let x = 0 if the gender of the customer is male, and let x = 1 if the customer is female. Continuous Random Variables A random variable that may assume any numerical value in an interval or collection of intervals. 1

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day9 - Random Variables So far we have focused on...

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