Ordinal data has an inherent order, i.e. ranking, in its possible values. For example 'poor, fair, good, excellent' is ordinal becaused there is an assumption that the four possible values are higher from one to the next. It can be coded as 1,2,3,4 but there is no assumption of equal spacing. Nominal data has no inherent ranking, only labeling-e.g. 'apple, strawberry, orange'. The choices are three levels with no assumed value. Any numerical coding does not reflect any quantitative meaning.
Georgette Asherman, Direct Effects, LLC
its sick blad
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Neither, age is at a ratio level of measurement.
Bar charts are used to summarise nominal or ordinal data.
I would use Spearman and Kendall
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.
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
Education should be treated as a nominal scale because the years spent between two grades are not same for all the grades. i.e. difference between Jr. College and Sr. College isn't same as between graduation and post-graduation.
its sick blad
ratio
Age is none of the items listed. Age is 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
Kruskal-Wallis H test.
Neither, age is at a ratio level of measurement.
Bar charts are used to summarise nominal or ordinal data.
I would use Spearman and Kendall