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The distinction between discrete and continuous variables is important. Categorical variables. The values of a categorical variable are selected from a small group of categories. Examples are gender (male or female) and marital status (never married, married, divorced or widowed).Categorical variables can be further categorised into ordinal and nominal variables. ... Name is a label variable. 2  Sex, Marital Status and Smoking are nominal categorical variables. 3  Age and Income are continuous numerical variables. 4  Number of children is a discrete numerical variable (a count).
Note: a sub-type of nominal scale with only two categories (e.g. male/female) is called â dichotomous .â If you are a student, you can use that to impress your teacher. Continue reading about types of data and measurement scales: nominal, ordinal, interval, and ratioâ¦.Ordinal With ordinal scales, it is the order of the values is whatâs important and significant, but the differences between each one is not really known. Take a look at the example below.ote: a sub-type of nominal scale with only two categories (e.g. male/female) is called â dichotomous .â If you are a student, you can use that to impress your teacher. Continue reading about types of data and measurement scales: nominal, ordinal, interval, and ratioâ¦.