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Mainly because variables conforming only to nominal or ordinal measurements can not be reasonably measured numerically, from time to time They can be grouped collectively as categorical variables, whereas ratio and interval measurements are grouped together as quantitative variables, which can be possibly discrete or continual, due to their numerical nature. Such distinctions can often be loosely correlated with knowledge type in computer science, in that dichotomous categorical variables could possibly be represented Along with the Boolean details variety, polytomous categorical variables with arbitrarily assigned integers during the integral information kind, and continual variables with the real info kind involving floating-level arithmetic.
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