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 take on an infinite number of values within a given range. It is used to quantify the characteristics of an object or individual.

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Give an example of a categorical variable.

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Examples of categorical variables include favorite color, type of car, or a person's state of residence.

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Give an example of a quantitative variable.

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Examples of quantitative variables include height, weight, age, or the number of states visited.

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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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How can you identify a categorical variable in a dataset?

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Categorical variables can be identified by looking for variables that represent categories or groups rather than numerical values.

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How can you identify a quantitative variable in a dataset?

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Quantitative variables can be identified by looking for variables that represent measurable quantities and can be expressed in numbers.

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

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This question represents categorical data.

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What type of data is represented by the question 'How many hours do you study each week?'

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This question represents quantitative data.

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What is an example of a question that yields categorical data?

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An example is 'What is your favorite subject in school?'