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Is there a difference?
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Different types of data are treated differently in order to determine whether there is a difference between samples. The different types can be defined as follows:
![Ordinal or Numerical](http://my.ilstu.edu/~oakman/dataanalysis/_derived/new_page_3.htm_cmp_copy-of-blank010_hbtn.gif)
![Nominal Measures](http://my.ilstu.edu/~oakman/dataanalysis/_derived/nominal.htm_cmp_copy-of-blank010_hbtn.gif)
![]() | Nominal Nominal data is classified into groups that cannot be ordered or ranked. For example, students are classified by academic major. |
![]() | Ordinal Ordinal data is classified into groups that can be ordered. For example, the students from the previous example could also be classified by letter grade (A, B, C, D, and F) or by academic status (Freshman, Sophomore, Junior, Senior). |
![]() | Numerical Numerical data consists of numbers generated by some type of measurement and is continuous. |
In this type of statistical analysis, ordinal and numerical data are treated the same way while nominal data is treated differently.