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Difference Between Nominal And Ordinal Data. Here are some examples of ordinal data. Nominal data is a group of non-parametric variables while Ordinal data is a group of non-parametric ordered variables. Ordinal With ordinal scales it is the order of the values is whats important and significant but the differences between each one is. These scales are generally used to depict non-mathematical ideas such as frequency.
Ordinal With ordinal scales it is the order of the values is whats important and significant but the differences between each one is. Low income middle income high income. Nominal data is a group of non-parametric variables while Ordinal data is a group of non-parametric ordered variables. These scales are generally used to depict non-mathematical ideas such as frequency. Ordinal data kicks things up a notch. But we can not do math with those numbers.
For interval or ratio levels in addition to the mode and median you can use the mean to find the average value.
Ordinary numbers indicate the position of an object while nominal numbers indicate identification of an object. For interval or ratio levels in addition to the mode and median you can use the mean to find the average value. Interval scale offers labels order as well as a specific interval between each of its variable options. Attributes can represent following types of variable in data mining 1Interval scaled variable 2Binary variable 3NominalCategorical variable 4Ordinal variable 5Ratio scaled variable 6Variables of mixed type Difference between nominal and or. Again this is easy to remember because ordinal sounds like order. Other examples include eye colour and hair colour.