Neither, age is at a ratio level of measurement.
its sick blad
I am not sure if I understand your question. I will rephrase it to: Should data collected on the ages of persons in a group be consider as nominal, ordinal, interval or ratio data? It is ratio. Now, let's try another question. A study finds that people with names beginning with the letter "a-k" are older than people with letters "l-z". In this case, the data collected on names in nominal data, but the ages are still ratio data.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Bar charts are used to summarise nominal or ordinal data.
I would use Spearman and Kendall
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
It is ordinal.
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.
its sick blad
ratio
I am not sure if I understand your question. I will rephrase it to: Should data collected on the ages of persons in a group be consider as nominal, ordinal, interval or ratio data? It is ratio. Now, let's try another question. A study finds that people with names beginning with the letter "a-k" are older than people with letters "l-z". In this case, the data collected on names in nominal data, but the ages are still ratio data.
Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
Nominal
Age is none of the items listed. Age is ratio data.
Kruskal-Wallis H test.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Bar charts are used to summarise nominal or ordinal data.