Categorical Vs. Quantitative Data

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What is Categorical Data?

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Categorical data represents characteristics or qualities that can be divided into groups or categories. Examples include favorite color, type of pet, or brand of car.

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What is Quantitative Data?

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Quantitative data represents numerical values that can be measured or counted. Examples include height, weight, and age.

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Is 'Years of schooling completed' categorical or numerical?

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Numerical

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Is 'Time' categorical or numerical?

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Numerical

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Is 'Favorite Food' categorical or numerical?

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Categorical

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Is 'Weight' categorical or numerical?

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Numerical

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Is 'Age' categorical or numerical?

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Numerical

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What is the difference between Categorical and Quantitative Data?

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Categorical data is qualitative and describes characteristics, while quantitative data is numerical and can be measured.

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Give an example of Categorical Data.

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An example of categorical data is 'Favorite Color' with options like Red, Blue, Green.

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Give an example of Quantitative Data.

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An example of quantitative data is 'Height' measured in centimeters.