Binomial distribution Definition and 145 Threads

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment, and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance.
The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one. However, for N much larger than n, the binomial distribution remains a good approximation, and is widely used.

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  1. A

    Is binomial distribution approriate

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  3. P

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  4. D

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  5. A

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  6. G

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  10. D

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  12. trollcast

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  13. D

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  14. M

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  15. J

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  16. R

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  17. S

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  18. Daaavde

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  19. S

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  20. Biosyn

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  21. B

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  22. D

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  23. C

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  24. I

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  25. T

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  26. fluidistic

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  27. O

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  30. Y

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  32. M

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  33. A

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  34. A

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  35. L

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  36. F

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  37. A

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  38. P

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  39. P

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  40. M

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  41. P

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  42. S

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  43. Rasalhague

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  44. B

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  45. I

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  46. A

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  47. K

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  49. G

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  50. mnb96

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