I think you mean ordinal data. Similar to the Golf tournament, you need to determine where to "cut" (from the ordinal data) so as to divide the data into different categories (to the nominal data).
For example, if the ordinal data range from 1 to 6 (where 1 = the best) and the cut is 3, then you convert all the numbers from 1 to 3 to "1" (which represents "good") and the all numbers from 4 to 6 to "2" (which represents "bad"). In other words, 1, 2, and 3 from the original ordinal data set are converted to "1" (ordinal data); whereas 4, 5, and 6 from the original date set now become "2" (ordinal data).
Eddie T.C. Lam
nominal
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.
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.
nominal
If you are bothering to measure it, it probably is not nominal data in your study.
Yes, marital status is nominal data.
No, it is not suitable for nominal data.
Yes, marital status is nominal 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
They are part of nominal data if the study is about different kinds of methods for displaying statistical data.
Nominal or categoric data.
illustrate how you can express the age of group of persons as {1}nominal,{2}ordinal data,{3} interval data,{4}ratio data
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
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