Final answer:
The statement is false; more types of calculations can be performed with interval level data than with nominal level data. The correct answer is therefore B. More types of calculations can be performed with data at the interval level than with data at the nominal level.
Step-by-step explanation:
The statement 'More types of calculations can be performed with data at the nominal level than with data at the interval level' is false. In fact, the opposite is true.
Data measured at the interval level allows for a wider variety of calculations, because it not only has a definite ordering, like ordinal data, but the differences between the data points can be measured as well. The interval scale lacks an absolute zero, which differentiates it from the ratio scale, where calculations involving ratios are also possible.
On the contrary, nominal level data is qualitative and consists of categories that cannot be logically ordered or subjected to mathematical operations beyond counting the frequency of occurrence.
There is no meaningful way to perform calculations like addition, subtraction, mean, or standard deviation with nominal data. Examples of nominal data include labels such as types of cars, colors of crayons, and yes or no responses.
The correct answer is therefore B. More types of calculations can be performed with data at the interval level than with data at the nominal level.