Categorical vs Quantitative

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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 vehicle.

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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 the number of students in a class.

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How many states have you visited in your lifetime?

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This question seeks a numerical answer, making it an example of quantitative data.

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Where do you plan on attending college?

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This question seeks a categorical response, as it asks for a specific category (the name of the college) rather than a numerical value.

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What is an example of categorical data?

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An example of categorical data is 'High School Graduate or Not', which divides individuals into two distinct categories.

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What is an example of quantitative data?

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An example of quantitative data is 'Annual Income', which can be measured in numerical terms.

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What type of data is 'Age of Oscar Winners'?

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The age of Oscar winners is quantitative data, as it can be expressed in numerical form.

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What type of data is 'Type of Aircraft'?

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The type of aircraft is categorical data, as it classifies aircraft into different categories.

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Define nominal data.

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Nominal data is a type of categorical data that cannot be ordered or ranked. Examples include colors, names, or labels.

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Define ordinal data.

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Ordinal data is a type of categorical data that can be ordered or ranked. Examples include satisfaction ratings (satisfied, neutral, dissatisfied).