Question

The dataset contains the following variables:

Gender (Gender of subject)
Age (Age of individual in complete years)

Ethnicity (Ethnic group that individual belongs to)

Marital (Marital status of individual)

Qualification (Highest educational qualification obtained)

PostSchool (Whether or not highest qualification is post school)

Hours (Average weekly hours of work from all
wage and salary jobs (rounded to nearest whole number))

Income (Average weekly income from all sources, excluding investment income (rounded to nearest whole number))

For each variable in the dataset, classify whether it is categorical or numerical.

If categorical:

• List the possible values the variable takes. You can determine these from a pivot table of each categorical variable separately.

• State whether the variable is nominal or ordinal.

If numerical:

• State whether the variable is discrete or continuous.

Answer 1

Here' the answer to the question with full concept. Please don't hesitate to give a "thumbs up" in case you're satisfied with the answer

Gender - Categorical ( Nominal)
Ethnicity - Categorical ( Nominal)
Marital - Categorical ( Nominal)
Qualification - Categorical ( ordinal - as higher qualification are better than lower qualification, so there' ranking in place)
PostSchool - Categorical ( Nominal)
Hours - Categorical ( Nominal)
Wage and salary jobs (Numerical - discrete - as it is always rounded off figure)
Income (Numerical - discrete - as it is always rounded off figure)