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Economics · Ch 3 — Organisation of Data

Variables: Continuous and Discrete

3.4

Variables: Continuous and Discrete

A variable can be measured, but variables differ in how they vary. On this basis they fall into two types.

Continuous variable — can take any numerical value in a range: whole numbers (1,2,3,…1, 2, 3, \dots), fractions (12,23,34,…\tfrac{1}{2}, \tfrac{2}{3}, \tfrac{3}{4}, \dots) and even non-fractional values such as 2=1.414\sqrt{2}=1.414 or 3=1.732\sqrt{3}=1.732. As a child's height grows from 90 cm to 150 cm it passes through every value in between — 90.85 cm, 102.34 cm, 149.99 cm — so its values can be broken into infinitely fine gradations. Weight, time and distance are other continuous variables.

Discrete variable — can take only certain values, changing by finite "jumps" and skipping the values in between. The number of students in a class must be a whole number: it can be 25 or 26 but never 25.5, since half a student is meaningless. "Discrete" does not mean "never fractional", though — a variable taking values 18,116,132,164,…\tfrac{1}{8}, \tfrac{1}{16}, \tfrac{1}{32}, \tfrac{1}{64}, \dots is still discrete, because it jumps from one listed fraction to the next and takes no value between two adjacent ones. …