Continuous or discrete variable

Classification of quantitative statistical variables

In mathematics and statistics, a quantitative variable may be continuous or discrete. If it can take on two real values and all the values between them, the variable is continuous in that interval.

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Continuous or discrete variable

Classification of quantitative statistical variables

In mathematics and statistics, a quantitative variable may be continuous or discrete. If it can take on two real values and all the values between them, the variable is continuous in that interval.

Last price

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Floor price

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7-day median

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30-day sales

30-day range

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In circulation

Price history

Show table

Date	median	Low	High	sales

Sales history

Last sale: —
30-day average: —
30-day low: —
30-day high: —
Sales 7d: 0
Sales 30d: 0

No sales yet.

Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.

From Wikipedia

In mathematics and statistics, a quantitative variable may be continuous or discrete. If it can take on two real values and all the values between them, the variable is continuous in that interval. If it can take on a value such that there is a non-infinitesimal gap on each side of it containing no values that the variable can take on, then it is discrete around that value. In some contexts, a variable can be discrete in some ranges of the number line and continuous in others. In statistics, continuous and discrete variables are distinct statistical data types which are described with different probability distributions.

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