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Categorial variables include the data types that can be divided into various groups, e.g., the level of education, age group, race, or gender. Gender qualifies to be a categorical variable since it has two categories, female and male, but has no intrinsic ordering; hence it is a categorical variable of the nominal type. Educational level too can be grouped into several categories using grades or higher education levels. However, unlike gender, the educational level has an ordinal ordering. One may have attained primary and junior high school, high school, undergraduate, master's, or doctoral educational level. The difference in the levels of education has significant differences among individuals, especially in their level of knowledge concerning a specific research topic. Generally, categ...
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