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discrete probability distributions for small samples

POISSONuse when the sample is a unit of time, distance, area, or volume
BINOMIALuse when there is measurement on a binary scale, and the probability does not change from trial to trial
HYPERGEOMETRICuse when sample size is small and when probability changes from trial to trial
RANDOMvalue coming from chance probability
MEANthe most likely value to be sampled: the expected frequency of the sample
DISCRETEa distribution in which there are only integers
CUMULATIVEa distribution which includes a value and all lower values
NOMINALscale in which a variable is measured by classifying each subject
BERNOULLIthe binomial distribution uses this kind of binary trial, independent of previous results
SUCCESSthe term for a given outcome (e.g., one category on a binary nominal scale)

Professor of Psychology
Crafton Hills College
Long Beach, CA

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