Count Variables
An individual piece of count data is often termed a count variable. When such a variable is treated as a random variable, the Poisson, binomial and negative binomial distributions are commonly used to represent its distribution.
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Famous quotes containing the words count and/or variables:
“Drinking tents were full, glasses began to clink in carriages, hampers to be unpacked, tempting provisions to be set forth, knives and forks to rattle, champagne corks to fly, eyes to brighten that were not dull before, and pickpockets to count their gains during the last heat. The attention so recently strained on one object of interest, was now divided among a hundred; and, look where you would, there was a motley assemblage of feasting, talking, begging, gambling and mummery.”
—Charles Dickens (1812–1870)
“The variables of quantification, ‘something,’ ‘nothing,’ ‘everything,’ range over our whole ontology, whatever it may be; and we are convicted of a particular ontological presupposition if, and only if, the alleged presuppositum has to be reckoned among the entities over which our variables range in order to render one of our affirmations true.”
—Willard Van Orman Quine (b. 1908)