This statement is absolutely False due to the fact that quantitative level consist mainly in numeric situations.
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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.
Mode is the only measure of central tendency to measure quantitative dataor qualitative data.
Quantitative means measurable and/or a reference to a specific amount.Examples of quantitative data:3kg1l9lbsQualitative means data that are more easily (or only) expressed by description and not measurementsExamples of qualitative:"My ball is red.""That sword is sharp."
Quantitative data is data that is relating to, measuring, or measured by the quantity of something, rather than its quality. ex: the number of people in a townQualitative data is data that can be captured that is not numerical in nature ex: the color of people's skin.Thus, essentially the distinction is that quantitative data deals with numbers and numerical values of what is being tested, where as qualitative data deals with the quality of what is being tested.Qualitative data's description cannot be describe in numbers. Quantitative data's description ca only be described in numbers.
If the data are quantitative they must have a median. If there is no median it is only because the data are qualitative and, in that case, a box and whiskers plot is meaningless.