Categories of Quantitative Variables
1. Discrete Variable refers primarily on the counting of integral values such as numbers of students, drop-outs, number of graduates, total employees, number of subjects and etc. (You simply count the data)
2. Continuous Variable deals with any numerical values over an interval/s that are assume. Examples are height, weight, age, and etc. (You put this on interval)
Scale of Measurement of Data
1. Nominal data deals with the use of numbers for the purpose of identifying name or membership in a group or category.
2. Ordinal data deals with ranking and inequalities.
3. Interval scales indicate an actual amount and there is equal unit of measurement separating each score, specifically equal intervals.
4. Ratio Data are similar to interval data, but has an absolute zero and multiplies are meaningful.
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