If a report states that 200 is twice as much as 100, what type of data is being used?

The correct identification of the data as ratio is based on the inherent characteristics of ratio data, which include a meaningful zero point and the ability to make comparisons in terms of multiples. In this case, stating that 200 is twice as much as 100 exemplifies a clear and absolute measurement that indicates the quantity of one value relative to another.

Ratio data allows for the comparison of absolute magnitudes and ratios. For instance, if you consider the value of zero in a ratio scale (such as 0 denotes no quantity of the measured attribute), this provides a foundation for defining relationships between different magnitudes. In this instance, you can confidently say that 200 is not only greater than 100, but also exactly twice 100, reinforcing the ratio aspect.

In contrast, other types of data such as ordinal, nominal, and interval does not support such multiplicative comparisons in the same meaningful way. Ordinal data provides a ranking but does not quantify differences between ranks. Nominal data categorizes without a quantitative relation, and interval data allows for addition and subtraction but lacks a true zero, making the concept of ratios inapplicable. Thus, the statement reflects the properties of ratio data correctly.