Statistical Question/ Quantitative vs. Categorical

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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, color, or type of animal.

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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 'High School Graduate or Not'.

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Give an example of quantitative data.

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An example of quantitative data is 'A Person's Height'.

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What is a statistical question?

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A statistical question anticipates variability in the data and can be answered by collecting data. For example, 'How tall are the students in our class?'

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What is a non-statistical question?

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A non-statistical question has a fixed answer and does not involve variability. For example, 'How many words are there in this sentence?'

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What type of data is 'Class Types (Math, SS, ELA, Science)'?

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Class Types are an example of categorical data.

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What type of data is 'Annual Income'?

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Annual Income is an example of 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 represents numerical values that can be measured.

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What is an example of a statistical question?

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An example of a statistical question is 'What is the average height of students in the class?'