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Sagot :
When analyzing a dataset, it's important to distinguish between categorical and numerical variables.
- Hole number: This represents the identifier for each hole on the golf course. It is a discrete numeric variable but could be considered categorical in the context that it identifies categories (holes).
- Yards: This variable measures the length of each hole. It is a quantitative variable because it provides a numerical measurement.
- Bunkers: This indicates the number of sand traps or bunkers on each hole. It is a discrete numerical variable because it counts the number of bunkers.
- Difficulty level: This variable describes the level of difficulty for each hole using qualitative labels such as "easy," "moderate," and "hard."
Among these variables, the difficulty level is the categorical variable. This is because it categorizes each hole based on a descriptive attribute, rather than providing a numerical measurement.
Thus, the categorical variable in the provided dataset is:
Difficulty Level
- Hole number: This represents the identifier for each hole on the golf course. It is a discrete numeric variable but could be considered categorical in the context that it identifies categories (holes).
- Yards: This variable measures the length of each hole. It is a quantitative variable because it provides a numerical measurement.
- Bunkers: This indicates the number of sand traps or bunkers on each hole. It is a discrete numerical variable because it counts the number of bunkers.
- Difficulty level: This variable describes the level of difficulty for each hole using qualitative labels such as "easy," "moderate," and "hard."
Among these variables, the difficulty level is the categorical variable. This is because it categorizes each hole based on a descriptive attribute, rather than providing a numerical measurement.
Thus, the categorical variable in the provided dataset is:
Difficulty Level
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