| 21. | Sturges'formula is derived from a binomial distribution and implicitly assumes an approximately normal distribution.
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| 22. | Another simulation using the binomial distribution.
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| 23. | Notice that this implies that two independent random variables with binomial distributions have to be regarded.
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| 24. | Using the binomial distribution, I was able to solve the question using one short expression:
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| 25. | See Binomial distribution # Poisson approximation.
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| 26. | These Krawtchouk polynomials are orthogonal with respect to symmetric binomial distributions, p = 1 / 2.
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| 27. | The binomial distribution has one of two possible outcomes for each among a succession of independent trials.
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| 28. | Where the dispersion parameter " & tau; " is exactly one for the binomial distribution.
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| 29. | That is, draw the graph of the normal approximation along with a histogram of the binomial distribution.
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| 30. | Note : The negative binomial distribution was originally derived as a limiting case of the gamma-Poisson distribution.
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