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