5.5, due on October 30

I don't see the purpose of an indicator random variable, because I'm not sure what little omega and E represent in the definition for it. In general, I didn't understand the significance of showing that any Bernoulli random variable is the indicator of the function of some event.

I'm also having a hard time understanding some of the variables in the equations for the Poisson distribution. But I can see how that distribution is applicable to many real life situations, because many events tend not to occur at the same time but spaced out.

I think it will help to go over real life examples of these distributions and discuss what each variable means in that context. Then I'll get a sense of what they mean symbolically in the equations.

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