Answer and Step-by-step explanation: Interval data or quantitative is a type of data that is measured along a scale. Every point is placed at equal distance from the other. Interval data cannot be multiplied or divided but It can be added or subtracted. The data are numeric scales in which we know both the order and the exact differences between the values.
Example: The diference between 100 and 90 is 10 and the diference between 60 (which is 100 – 40) and 50 (100 – 40) is also 10.
Ordinal data or qualitative is the type of data where the variables exist in naturally occurring ordered categories. The distance between two categories is not established using ordinal data. The order of the values is important and significant, but the differences between each one is not really known.
Example: in a research about the satisfaction to a product the options are Unhappy, Ok, Happy and Very Happy. Is the difference between “OK” and “Unhappy” the same as the difference between “Very Happy” and “Happy”? It is not possible to say