Talk:Continuous or discrete variable: Difference between revisions

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:::'''continuous variable''': ''A quantitative variable is continuous if its set of possible values is uncountable. Examples include temperature, exact height, exact age (including parts of a second). In practice, one can never measure a continuous variable to infinite precision, so continuous variables are sometimes approximated by discrete variables. A random variable X is also called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero (in symbols, if P(X = x) = 0 for every real number x). A random variable is continuous if and only if its cumulative probability distribution function is a continuous function (a function with no jumps).'' [http://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm#continuous ]
::--[[User:GodMadeTheIntegers|GodMadeTheIntegers]] ([[User talk:GodMadeTheIntegers|talk]]) 16:32, 30 April 2015 (UTC)
:::That's a dictionary intended primarily for statistics, apparently concerning continuous and discrete random variables. We already have an article discussing that concept (namely [[random variable]]). Also, if we want to start the article "in mathematics", then the appropriate distinction is certainly not whether the variable can assume uncountable many values. There are uncountable sets that are not continua. Better sources than this are presumably required. [[User:Sławomir Biały|<span style="text-shadow:grey 0.3em 0.3em 0.1em; class=texhtml">Sławomir Biały</span>]] ([[User talk:Slawekb|talk]]) 16:46, 30 April 2015 (UTC)