It is ordinal.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
ratio
Age is none of the items listed. Age is ratio data.
It is ordinal.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
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ratio
Age is none of the items listed. Age is ratio data.
Ordinal
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Kruskal-Wallis H test.
Neither, age is at a ratio level of measurement.
Nominal.