Examples of ratio level of measurement are age, weight, and amount of money.
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Technically is an ordinal level measurement - because the options imply a hierarchy (i.e low to high levels of your variable of interest), but we cannot say that the difference between each level is precisely the same as you would be able to with an interval measurement. There is some controversy over this though, and it is still often used like an interval measurement in statistical tests, although this might not really be appropriate.
Examples are:a ratio can also show a part compared to the whole lot. For example there are 5 pups, 2 are boys and 3 are girls, then the ratio of boys to girls 2/3, the ratio of boys to total is 2/5, the ratio of girls to total is 3/5.a ratio can also be used in drawings. For example to draw a horse with a scale 1/10 from its normal size. Another example is that the height to width ratio of the Indian Flag is 2:3 or 2/3Another examples are:1/2, 3/4, 78/89, ... etcx/(x+1), y/(y-2), ... etc.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
I think Ratio Scale is betterInterval Scale:-Permissible Statistics mean, standard deviation, correlation, regression, analysis of varianceRatio Scale:-Permissible StatisticsAll statistics permitted for interval scales plus the following: geometric mean, harmonic mean, coefficient of variation, logarithmsTo clarify:"Best" is an odd way of looking at it. As the previous answers suggest, ratio data does allow for more advanced statistics, but for the most common forms of analysis, there is little functional difference between the two.The bigger point is that researchers don't necessarily choose the level of data that they are working with. The nature of whatever they are studying determines it, and you can get into some pretty murky water when you try to force a ratio measurement in a study where it isn't really appropriate.
What are some examples of qualifiers you might find in multiple choice questions stems?