binomial distribution

GPTKB entity

Statements (27)
Predicate Object
gptkbp:instanceOf gptkb:organization
gptkbp:application modeling number of successes in fixed number of independent Bernoulli trials
gptkbp:assumes each trial has two possible outcomes
probability of success is constant
trials are independent
gptkbp:cumulativeDistributionFunction sum_{i=0}^k C(n, i) * p^i * (1-p)^{n-i}
gptkbp:firstDescribed gptkb:Ars_Conjectandi_(1713)
gptkb:Jacob_Bernoulli
gptkbp:hasSpecialCase Bernoulli distribution (when n=1)
https://www.w3.org/2000/01/rdf-schema#label binomial distribution
gptkbp:kurtosis (1-6p(1-p))/(n*p*(1-p))
gptkbp:limitation Poisson distribution (as n→∞, p→0, np=λ)
gptkbp:meaning n*p
gptkbp:mode floor((n+1)*p)
gptkbp:notation X ~ Bin(n, p)
gptkbp:parameter n (number of trials)
p (probability of success)
gptkbp:PMF P(X = k) = C(n, k) * p^k * (1-p)^{n-k}
gptkbp:relatedTo gptkb:negative_binomial_distribution
gptkb:hypergeometric_distribution
gptkbp:skewness (1-2p)/sqrt(n*p*(1-p))
gptkbp:supports k = 0, 1, ..., n
gptkbp:usedIn gptkb:probability_theory
statistics
gptkbp:variant n*p*(1-p)
gptkbp:bfsParent gptkb:exponential_family
gptkbp:bfsLayer 5