Types of Data
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With the basics covered, it's time to explore the different data categories used in statistics and how they guide analysis.
Now consider a sample of people described by two variables:
- Number of teeth;
- Height.
The number of teeth is considered a discrete variable because teeth are counted in whole numbers, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, countable number of teeth, and the count is a distinct and separate value.
In contrast, height is considered a continuous variable because it can take on any value within a certain range, and there is an infinite number of values in the interval between any two values of heights.
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Types of Data
With the basics covered, it's time to explore the different data categories used in statistics and how they guide analysis.
Now consider a sample of people described by two variables:
- Number of teeth;
- Height.
The number of teeth is considered a discrete variable because teeth are counted in whole numbers, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, countable number of teeth, and the count is a distinct and separate value.
In contrast, height is considered a continuous variable because it can take on any value within a certain range, and there is an infinite number of values in the interval between any two values of heights.
Grazie per i tuoi commenti!
