Answer:
Observations of a qualitative variable that can only be classified and counted.
Step-by-step explanation:
A level of measurement can be defined as a classification which is used to illustrate the attributes of the values assigned to variables. There are four (4) basic levels of measurement for a variable and these are;
1. Interval: data can be arranged in an ordering scheme and subtracting its differences is meaningful. Examples are year, temperature, time etc.
2. Ratio: data can be arranged in an ordering scheme and subtracting its differences is meaningful with respect to the value of true zero. Examples are height, price, weight, distance etc.
3. Ordinal : data can be arranged in an ordering scheme but subtracting its differences is meaningless or impossible. Examples are happy, sad etc.
4. Nominal : is characterized by data that are non-numerical, comprises of categories, labels or names and can't be arranged in an ordering scheme.
Hence, the nominal level of data describes observations of a qualitative variable that can only be classified and counted.
For example, an end of year stock classification (high yield, medium yield, or low yield) for a business firm is a nominal level of measurement because they are categorized or classified. Also, this type of data is qualitative because it describes the quality of the stock and it's non-numerical in nature.
