Examples of using Binomial distribution in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
Smallest value for which the cumulative binomial distribution is greater than
Returns the smallest value for which the cumulative binomial distribution is greater than
Description Returns the negative binomial distribution, the probability that there will be Number_f failures before the Number_s-th success, with Probability_s probability of a success.
Returns the smallest value for which the cumulative binomial distribution is greater than
the Bernoulli distribution, the binomial distribution, the geometric distribution, and the negative binomial distribution.
Common discrete probability distributions used in statistics include the binomial probability distribution, the Poisson distribution. the Bernoulli distribution, the geometric distribution, and the negative binomial distribution.
then the cumulative binomial distribution is: Example.
The Poisson distribution can be derived as a limiting case to the binomial distribution as the number of trials goes to infinity
By using the probability mass function of the binomial distribution with sample size equal to 80,
the Bernoulli distribution, the binomial distribution, the geometric distribution, and the negative binomial distribution.
1- Prob(no. of heads≥ 14 heads)+ Prob(no. of head= 14)= 1- 0.058+ 0.036= 0.978; however symmetry of the binomial distribution makes this an unnecessary computation to find the smaller of the two probabilities.
There is a rule of thumb stating that the Poisson distribution is a good approximation of the binomial distribution if n is at least 20 and"p" is smaller than or equal to 0.05, and an excellent approximation if"n"≥ 100 and"np"≤ 10.:: formula_46*The Poisson distribution
The equation for the negative binomial distribution is.
The equation for the negative binomial distribution is.
Returns the probability of a trial result using a binomial distribution.
Returns the probability of a trial result using a binomial distribution.
Binomial distribution with normal approximation for n= 6 and p= 0.5.
Playing one million times is modelled by the binomial distribution, which is closely related to the binomial theorem.
The binomial distribution with parameters n and p is a discrete distribution for k= 0, 1, 2,….
The posterior predictive distribution for a single additional observation is a negative binomial distribution,[36] sometimes called a Gamma-Poisson distribution. .