Abstract
The measured variables analyzed in statistics are reflections of aspects of the system being studied. As such, the relationships between values of the variables must reflect properties of the attributes being studied. Different types of measurement scale, amongst which the most familiar are nominal, ordinal, interval, and ratio, reflect different properties of the attributes. Incorrect conclusions can be drawn if a statistical analysis fails to take appropriate account of this relationship between the objects of study and their numerical representations.