Identifying Categorical and Quantitative Data

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What is categorical data?

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Categorical data refers to data that can be divided into groups or categories. Examples include colors, types of animals, or yes/no responses.

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What is quantitative data?

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Quantitative data refers to numerical data that can be measured and expressed mathematically. Examples include height, weight, and age.

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What is the difference between categorical and quantitative data?

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Categorical data describes characteristics or qualities, while quantitative data represents measurable quantities.

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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'.

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What is an example of quantitative data?

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An example of quantitative data is 'Annual Income'.

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What does variability mean in data?

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Variability refers to how much the data points differ from each other. It indicates the spread or dispersion of data.

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What is a variable in data analysis?

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A variable is any characteristic, number, or quantity that can be measured or counted. It can vary among subjects in a study.

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What is a data set?

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A data set is a collection of related data points or values that are used for analysis.

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What is an example of a categorical observation?

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An example of a categorical observation is describing a hamster as 'long hair, white and brown colored, soft'.

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What is a bar graph used for?

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A bar graph is used to represent categorical data with rectangular bars showing the frequency of each category.