STAB22H3 Chapter Notes - Chapter 17: Probability Distribution, Bernoulli Trial, Binomial Distribution

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STAB22H3 Full Course Notes
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STAB22H3 Full Course Notes
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Bernoulli trials, if . there are two possible outcomes (p. 405). the probability of success is constant. the trials are independent. Geometric probability model: a geometric model is appropriate for a random variable. Success/failure condition: for a normal model to be a good approximation of a. Binomial model, we must expect at least 10 successes and 10 failures. That is, np 10 and nq 10 (p. 413). any value in an interval of values (p. 414). model when p is small and n is large. Use np as the mean for the poisson. The poisson can also be used to model counts of a wide variety of phenomena (p. 415). Exponential probability model: an exponential model can be used to estimate the time between two random events that occur following a poisson probability model (p. 417). Poisson probability model: a poisson model can be used to approximate a binomial.

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