ABSTRACT
Several types of data are introduced here.
The differences between categorical (including nominal and ordinal) and numerical data (including discrete, continuous, interval and ratio) are explained and examples of their use are given.
Finally, the importance of interpreting the data correctly is highlighted with an example of how the computer output from a real study was misinterpreted, resulting in a conclusion that was completely wrong and misleading.
