DATABASE FUNDAMENTALS
TYPES OF DATA
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Qualitative Nominal
|
|
|
Qualitative Ordinal
|
|
|
Quantitiative Interval/Ratio
|
|
|
Quantitiative Nominal
|
Detailed explanation-1: -For instance, height is ratio data. It is not possible to have negative height. If an object’s height is zero, then there is no object. This is different than something like temperature.
Detailed explanation-2: -Weight, height and distance are all examples of ratio variables. Data in the ratio scale can be added, subtracted, divided and multiplied. Ratio scales also differ from interval scales in that the scale has a ‘true zero’. The number zero means that the data has no value point.
Detailed explanation-3: -So, height is measured on a ratio scale, which is quantitative data. a. Nominal scale is applicable for qualitative data, which are categories. These categories cannot be ordered.
Detailed explanation-4: -Unlike nominal-and ordinal-level data, which are qualitative in nature, interval-and ratio-level data are quantitative. Examples of interval level data include temperature and year. Examples of ratio level data include distance and area (e.g., acreage).