Categorical Vs Quantitative Variable Practice Flashcard

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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 gender, race, or the type of pet owned.

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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, or age.

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Give an example of Categorical Data.

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An example of categorical data is 'What is your 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 'How many hours do you study each week?' with numerical responses.

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What type of data is 'What kind of pet do you have?'

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Categorical Data.

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What type of data is 'How many pets do you have?'

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Quantitative Data.

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What is the difference between Categorical and Quantitative Data?

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Categorical data describes qualities or characteristics, while quantitative data describes quantities or amounts.

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What type of data is 'What is your favorite subject in school?'

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Categorical Data.

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What type of data is 'How many books do you read in a month?'

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Quantitative Data.

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What does it mean to understand the difference between categorical and quantitative data?

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It means being able to identify and classify data types based on their characteristics and how they can be measured or categorized.