Categorical Vs. Quantitative Data

Front

What is Categorical Data?

Back

Data that can be divided into groups or categories. Examples include hair color, favorite food, and zip codes.

Front

What is Quantitative Data?

Back

Data that can be measured and expressed numerically. Examples include age, height, and weight.

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What is the difference between Nominal and Ordinal Data?

Back

Nominal data represents categories without a specific order (e.g., hair color), while ordinal data represents categories with a meaningful order (e.g., rankings).

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Is 'Age' categorical or quantitative?

Back

Quantitative.

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Is 'Favorite Food' nominal or ordinal?

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Nominal.

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Is 'Zip Code' categorical or quantitative?

Back

Categorical.

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What type of data is represented by a histogram?

Back

Quantitative data, as it shows the distribution of numerical values.

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How do you determine the number of people with cholesterol levels less than a certain value from a histogram?

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By counting the frequency of the bars that fall below that value.

Front

Is 'Hair Color' nominal or ordinal?

Back

Nominal.

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What is an example of Ordinal Data?

Back

Data that can be ranked, such as survey responses (e.g., satisfied, neutral, dissatisfied).