A quantitative variable that has an infinite number of possible values that are not countable is called
continuous
a continuous variable.
Continuous variables are measured on a scale and can take any value between the minimum and maximum values of the variable. Examples of continuous variables are height, weight, time, and temperature.
On the other hand, discrete variables are quantitative variables that can only take on specific, distinct values and cannot be further subdivided. Examples of discrete variables are the number of students in a classroom, the number of pets in a household, and the number of siblings in a family.
It is important to understand the difference between continuous and discrete variables because it affects the types of statistical analysis that can be conducted. Continuous variables often require measures of central tendency and dispersion, while discrete variables may use frequency counts or percentages.
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