Matstat distributioner

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• The experiment consists of a series of bernoulli trials. The trials are identical and independent. P(success) remains the same from trial to trial. The random variable X denotes the number of trials needed to obtain the first success Geometric
• The experiment consists of a fixed number of n bernoulli trials (success/failure). The trials are identical and independent. P(success) remains the same from trial to trial. The random variable X denotes the number of successes in the n trials Binomial
• The experiment consists of a series of bernoulli trials. The trials are identical and independent. P(success) is the same for all trials. The trials are observed until exactly r successes are obtained. The random variable X is the number of trials needed to obtain r successes Negative binomial
• The experiment consists of drawing a random sample of size n without replacement and without regard to order from a collection of N objects. r have a trait of interest, N - r does not. The random variable X is the number of objects in the sample with the trait Hypergeometric
• The experiment consists of observing discrete events during a continous interval. The interval could be time, length or space. The random variable X is the number of occurences of the interval of size s and follows this distribution with parameter k = λs Poisson

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