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Different kinds of discrete probability functions

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-The probability destiny function is where statistics and probability come together. While there are several different kinds of discrete probability functions (or PDF's), three in particular are most commonly used. These are the binomial, Poisson and hypergeometric. What are the characteristics of each? Where and how are they used? Have you ever seen or even used any of these?

-As is the case with discrete PDF's, there are a number of continuous PDF's such as the exponential and uniform distributions. But the most important by far is the normal distribution (or bell curve). What are the characteristics of the normal distribution that make it the foundation of the more important inferential statistical tools we will be learning about in the coming weeks? Why do these characteristics allow us to trust the results of using these tools?

Reference no: EM132862211

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