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 hair color, gender, and types of cuisine.

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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 'Age' an example of Categorical or Quantitative Data?

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Quantitative Data.

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Is 'Hair Color' an example of Categorical or Quantitative Data?

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Categorical Data.

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What is an example of Numerical Data?

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A person's height.

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Is 'Hours Studying' 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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What type of data is represented by a person's state of residence?

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Categorical Data.

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What type of data is represented by a person's Zip Code?

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Categorical Data.

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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 measures quantities.