STAT 321 Study Guide - Final Guide: Probability Mass Function, Binomial Distribution, Poisson Distribution
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Two disjoint events mean that the probability of p(a and b) = 0. That means that p(a or b) = p(a) + p(b) The occurrence of one event does not influence the probability of the other. P(a or b) = p(a) + p(b) - p(a) x p(b) The middle area and the margins add up to one. Because you can start with a different initial node. In permutation order matters, in combination it does not. A binomial variable is when the variable is independent and the hypergeometric one is dependent. When n>>>>>p a binomial variable can be approximated with a poisson distribution. It factors in the the ways in which x events can occur from a set of n number of elements. You need to assume independence of x from y. Otherwise, you need to factor in the covariance in the equation. 6 what is the difference between the z and t distributions: t has heavier tails than z.
