1. The random variable k _ t is characterized by the Binomial distribution 2. The number of sixes in N throws follows a binomial distribution . 3. This duality is the reason that the binomial distribution is applicable. 4. Googling'Binomial Distribution Calculator'has thrown up some useful results. 5. The number of balls taken of a particular color follows the binomial distribution . 6. To compute this probability one uses the binomial distribution . 7. Nevertheless, I am attempting to model the events as independent Binomial distributions . 8. Unlike the negative binomial distribution this model is independent of the mean density. 9. The theoretical variance of a sample from a population with a binomial distribution is 10. With the binomial distribution one can obtain a confidence interval of the prediction.
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