Please classify the information, in the attachment, according to order of
ratio, interval, ordinal, and nominal significance.
Identifying the types of measurement (Nominal, Ordinal, Interval, Ratio) is very tricky. So, I have mentioned here the detailed identification of these measurements. Identifying the variables as to the types of measurement in the attached document (OrderPower.doc) were made.
The name 'Nominal' comes from the Latin nomen, meaning 'name' and nominal data are items which are differentiated by a simple naming system.
The only thing a nominal scale does is to say that items being measured have something in common, although this may not be described.
Nominal items may have numbers assigned to them. This may appear ordinal but is not -- these are used to simplify capture and referencing.
Nominal items are usually categorical, in that they belong to a definable category, such as 'employees'.
Variables in the document that are Nominal type
1. Gender (page 3)
This solution addresses the problem of the student on how to classify the types of data variables used in the study. In statistics, data types are classified into ratio, interval, ordinal, and nominal. The rationale behind classifying the data is that for every type of data there is a corresponding statistical tool that is applicable.