Jon P. answered 06/29/15
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This is an interesting question.
It's not ordinal, because in ordinal data, the ORDER of the values matters (1 is more than 0, 2 is more than 1), but not the DIFFERENCE between them. So for example, you might have a scale of tastes -- rank the sweetness of a food on a scale from 1 to 5. 5 is sweeter than 4, but the scale doesn't say anything about how much sweeter a 5 is than a 4 or a t is than a 3. But in this data, 2 errors is exactly 1 more than 1 error, and 1 error is exactly 1 more than 0.
So is it interval or ratio? In interval data, there is a clear meaning to the difference between two values. That's definitely true here -- as I said above, 2 errors is exactly 1 more than 1 error, and 1 error is exactly 1 more than 0.
But there's the additional feature that there is a clear meaning to the 0 value. It means that no errors were committed. And that'exactly what distinguishes ratio from interval.
So the answer is ratio.