Age is a ratio-scale variable. The properties of the ratio-level data are: # Data classifications are ordered according to the amount of the characteristics they possess. # Equal differences in the characteristics are represented by equal differences in the numbers assigned to the classifications. # The zero point is the absense of the characteristics and the ratio between two numbers is meaningful. Say for example a 20-year-old and a 40-year-old man. You can say that the 40-year-old is twice as old as the 20-year-old. This shows that the difference is meaningful.
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It's Ratio.
Year of birth is interval level of measurement; age is ratio.
interval
Grade scores are an ordinal level of measurement. A ratio level of measurement would be weight of a person or how much money a person has.
False