Categorical Vs Quantitative Variable Practice Flashcard

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What is a categorical variable?

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A categorical variable is a type of variable that can take on one of a limited, and usually fixed, number of possible values, assigning each individual or other unit of observation to a particular group or nominal category on the basis of some qualitative property.

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What is a quantitative variable?

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A quantitative variable is a type of variable that can be measured numerically and can be used in mathematical calculations. It represents a measurable quantity.

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Give an example of a categorical variable.

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An example of a categorical variable is 'favorite color', where responses can be red, blue, green, etc.

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Give an example of a quantitative variable.

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An example of a quantitative variable is 'height in centimeters', which can be measured and expressed numerically.

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What type of data is represented by the question: 'How many states have you visited in your lifetime?'

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Quantitative data.

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What type of data is represented by the question: 'What is your favorite type of food?'

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Categorical data.

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How can you identify categorical data in a survey?

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Categorical data can be identified by responses that are names or labels, such as types of food or colors.

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How can you identify quantitative data in a survey?

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Quantitative data can be identified by numerical responses that can be counted or measured, such as the number of pets or glasses of water consumed.

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What is the difference between nominal and ordinal categorical variables?

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Nominal variables are categories without a specific order (e.g., types of fruit), while ordinal variables have a clear order or ranking (e.g., satisfaction ratings: satisfied, neutral, dissatisfied).

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What is the significance of the y-axis being labeled with numbers in a graph?

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If the y-axis is labeled with numbers, it indicates that the data represented is quantitative, as it involves numerical measurements.