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Ordinal data is data that can be ranked, but you can not say anything about how far apart the data entries are. You can count and order it but not measure difference between data entries.
For example if we talk about teams, one can be first, the next second etc, but that tells us nothing about how far ahead team 1 is.
In many surveys they use agree or disagree and you rank your answer from 1 to 5.
What else can I help you with?
What is ordinal statistics?
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
Is asking your birth year a ordinal data?
No, but the answers provide ordinal data.
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
Are eye colors ordinal data?
no, they are categorical
Major advantage of ordinal data over nominal data?
its sick blad
IS GPA nominal data or ordinal?
It is ordinal.
What is ordinal statistics?
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
Is asking your birth year a ordinal data?
No, but the answers provide ordinal data.
Should The mean or median be used in ordinal data?
The median is used when reporting ordinal data.
What are the advantages and disadvantages transforming of continuous data into either discrete or ordinal data?
1.) Discrete: restricted to integers; ordinal subjective
True or false Data at the ordinal level are quantitative only?
False. Data at the ordinal level can be either quantitative or qualitative. In ordinal data, the categories have a meaningful order or rank, but the difference between the categories is not necessarily equal.
What is Data that is ranked but not with even intervals?
ordinal
Are eye colors ordinal data?
no, they are categorical
How do you convert ordered data to nominal data?
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
Major advantage of ordinal data over nominal data?
its sick blad
Is occupation nominal or ordinal or interval?
Occupation is nominal data. There is not an order to the category occupation, so that eliminates ordinal and interval.
What is the measure of central tendency for nominal and ordinal data?
The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.The mode can be used with both kinds of data. The median may be used with ordinal data but great care is required if the median falls between two classes of observations.
