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.
Yes, marital status is nominal data.
No, it is not suitable for nominal data.
If you are bothering to measure it, it probably is not nominal data in your study.
When data are nominal.
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 data is characterized as data that is used to define a group of category. Some examples include color of eyes, and color of hair.
nominal
Yes, marital status is nominal data.
No, it is not suitable for nominal data.
If you are bothering to measure it, it probably is not nominal data in your study.
Yes, marital status is nominal data.
They are part of nominal data if the study is about different kinds of methods for displaying statistical data.
Nominal
Nominal or categoric data.
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.