| Binomial probability distribution | Describes the number of successes, x, in n independent trials of a statistical experiment. The probability of a success on a single trial, π, is the same for each trial.
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| Continuous random variable | A variable that can assume one of an infinitely large number of values within certain limitations.
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| Discrete random variable | A random variable that can assume only certain clearly separated values.
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| Finite population | A population consisting of a small number of individuals, objects, or measurements.
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| Hypergeometric probability distribution. | Describes the number of successes, x, in n trials of a statistical experiment. Each trial is conducted by selecting an item without replacement from a finite population of size N.
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| Poisson probability distribution | Describes the number of times some event occurs during a specified interval. Also used to approximate a binomial probability distribution when the probability of success, π, is small, and n, the number of trials, is relatively large.
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| Probability distribution | A listing of all the outcomes of an experiment and the probability associated with each outcome.
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| Random Variable | A random variable whose value is determined by the outcome of a random experiment.
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