BinomialDistribution
BinomialDistribution(n, p)
returns the binomial distribution.
See:
Examples
The probability density function of the binomial distribution is
>> PDF(BinomialDistribution(n, p), x)Piecewise({{(1-p)^(n-x)*p^x*Binomial(n,x),0<=x<=n}},0)
The cumulative distribution function of the binomial distribution is
>> CDF(BinomialDistribution(n, p), x)Piecewise({{BetaRegularized(1-p,n-Floor(x),1+Floor(x)),0<=x&&x<n},{1,x>=n}},0)
The mean of the binomial distribution is
>> Mean(BinomialDistribution(n, p))n*p
The standard deviation of the binomial distribution is
>> StandardDeviation(BinomialDistribution(n, p))Sqrt(n*(1-p)*p)
The variance of the binomial distribution is
>> Variance(BinomialDistribution(n, p))n*(1-p)*p
The random variates of a binomial distribution can be generated with function RandomVariate
>> RandomVariate(BinomialDistribution(10,0.25), 10^1){1,2,1,1,4,1,1,3,2,5}
Related terms
CDF, Mean, Median, PDF, Quantile, StandardDeviation, Variance
Implementation status
- ✅ - full supported