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You're probably used to the word "variable" in algebra. Letters like x and y are used in place of numbers. Twotypes of variables are used in statistics: Quantitative and categorical. Quantitative variables are numerical: counts, percents, or numbers. Categorical variables are descriptions of groups or things, like "breeds of dog" or "voting preference".

Examples of Quantitative Variables:
  • High school Grade Point Average.
  • Number of pets owned.
  • Bank account balance.
  • Number of stars in a solar system.
  • Average number of lottery tickets sold.
  • How many cousins you have.
  • The amount in your paycheck.

General rule: if you can add it, it's quantitative. For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it's quantitative.

Examples of Categorical Variables:
  • Class in college (freshman, sophomore, junior, senior).
  • Party affiliation (Republican, Democrat, Independent).
  • Type of pet owned (dog, cat, rodent, fish).
  • Favorite author.
  • Preferred airline.
  • Hair color.
  • Your race.
  • Types of hats.

As a general rule, if you can't add something, then it's categorical. For example, you can't add cat + dog, or Republican + Democrat.

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Q: What are the other examples of quantitative variables in statistics?
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A quantitative variable is numeric and therefore can be counted discretely or continuously. The other side of the spectrum is qualitative variables.


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