FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Nominal variables are qualitative variables whose categories have no natural ordering. A nominal variable is one whose categories have no natural ordering. Gender is an example of a nominal variable. Discrete variables are quantitative variables whose possible values can be listed.

Detailed explanation-2: -A nominal variable is one that describes a name, label or category without natural order. Sex and type of dwelling are examples of nominal variables.

Detailed explanation-3: -Nominal-and ordinal-scale variables are considered qualitative or categorical variables, whereas interval-and ratio-scale variables are considered quantitative or continuous variables. Sometimes the same variable can be measured using both a nominal scale and a ratio scale.

Detailed explanation-4: -Ordinal Data Ordinal data is a type of qualitative data where the variables have natural, ordered categories and the distances between the categories are not known.

Detailed explanation-5: -Ordinal data is classified into categories within a variable that have a natural rank order. However, the distances between the categories are uneven or unknown.