Quantitative and categorical variables

Quantitative And Categorical Variables. Marital status married single divorced Smoking status smoker non-smoker Eye color blue green hazel. There are two types of variables. Variables that take on names or labels. Age height of AP classes SAT score.

Types Of Statistical Data Numerical Categorical And Ordinal When Working With Statistics It S Important To Recogni Statistical Data Bar Graphs Data from www.pinterest.com

Has numerical values for which arithmetic operations eg addition or averaging make sense. There are two types of variables. Marital status married single divorced Smoking status smoker non-smoker Eye color blue green hazel. Even though ordinal data can sometimes be numerical not all mathematical operations can be performed on them. Age height of AP classes SAT score. Any characteristic of an individual.

Sometimes referred to as categorical variables these are variables that take on names or labels and can fit into categories.

For example we may want to compare the heights of males and females. Quantitative data are information that has a sensible meaning when referring to its magnitude. Often you will collect both categorical data and quantitative data when exploring a single subject. This includes rankings eg. Each observation can be placed in only one category and the categories are mutually exclusive. Characteristics of Categorical and Quantitative data.

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