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Apr
Quantitative Variables In Statistics. A quantitative variable is a variable that reflects a notion of magnitude that is if the values it can take are numbers. When examining a scatterplot we need to consider the following. A variable differing in quantity is called a quantitative variable eg weight of a group of patients whereas a variable differing in quality is called a qualitative variable eg the Fitzpatrick skin type. If a ball is red the descriptive quality or.
A variable differing in quantity is called a quantitative variable eg weight of a group of patients whereas a variable differing in quality is called a qualitative variable eg the Fitzpatrick skin type. A variable is called a quantitative variable when a characteristic can be expressed numerically such as age weight income or a number of children that is the variables that can be quantified or measured from some measurement device scales such as weighing machine thermometer and liquid measurement standardized container. There are two types of quantitative variables. In statistics variables can be classified as either categorical or quantitative. Variables that take on names or labels. Also known as numerical data quantitative data further describes numeric variables eg.
Quantitative variables are divided into two types.
Variables that can be measured on a numeric interval or quantitative scale are called quantitative variables. Essentially these variables describe what they are meant to measure. A graphical representation of two quantitative variables in which the explanatory variable is on the x-axis and the response variable is on the y-axis. A variable can collect either qualitative or quantitative data. Qualitative variables are categories that result in descriptive values or labels. As discussed in the section on variables in Chapter 1 quantitative variables are variables measured on a numeric scale.