Variable means the measured values can vary anywhere along a given scale. Attribute data, on the other hand, is qualitative data that have a quality characteristic or attribute that is described in terms of measurements.
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Variables are the characteristics which can be measured and expressed in quantitative or numerical terms. Attributes are the characteristics which are qualitative in nature and cannot be measured in numerical terms . Example. For example- height, weight etc. For example- intelligence, honesty.
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An attribute variable is a variable that cannot be manipulated. An example of an attribute variable is gender, race, psychological condition, and or any characteristic that is inherent or pre-programmed and cannot be altered .
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From Wikipedia, the free encyclopedia. In science and research, an attribute is a quality of an object (person, thing, etc.). Attributes are closely related to variables. A variable is a logical set of attributes . Variables can “vary” – for example, be high or low.
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