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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).
You might have heard of the sequence of terms to describe data: Nominal, Ordinal, Interval and Ratio. They were used quite extensively but have begun to fall out of favor.These terms are used to describe types of data and by some to dictate the appropriate statistical test to use.atio data is interval data with a natural zero point. For example, time is ratio since 0 time is meaningful. Degrees Kelvin has a 0 point (absolute 0) and the steps in both these scales have the same degree of magnitude.