This article explores the difference between discrete and continuous data. 因此，像年龄、家庭人口数这类变量，其取值是定量的、有计算意义的，我们称之为 定量变量 （quantitative variable）； 而像学历、婚姻状况和就业状况这类变量的取值是定性的、主要起代. The discrete versus continuous classification we'll explore below specifically refers to how quantitative variables behave.
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A continuous variable is a type of quantitative variable that can take any value within a specified range.
You count discrete data but measure continuous.
These values are often measurements of physical quantities like. Quantitative continuous data consists of numerical values that can take any value within a given range, including fractions and decimals. 在数学和 统计学 中，离散（discrete）和连续（continuous）是描述数据或变量类型的两个基本术语。 它们具有特定的含义，尤其是在处理 数据集 和进行统计分析时。 离. Unlike discrete variables, which have distinct and countable values, continuous.
Continuous data are positions on a scale. Numbers）typically, a continuous variable involves a measurement of something, such as the height of a person, the weight of a newborn baby, or the length of time a car Discrete variables take on countable and distinct. Discrete vs continuous data are two broad categories of numeric variables.
Quantitative data may be of three major types:
