Numerical (type of variable)
In statistics and data analysis, numerical variables are quantitative variables that represent continuous numerical data
In statistics and data analysis, numerical variables are quantitative variables that represent continuous numerical data. They can take on a range of values and can be measured or counted. Numerical variables can be further divided into two types: discrete and continuous.
1. Discrete Numerical Variable: This type of variable only takes on specific values within a defined range. The values are typically whole numbers or integers, and there are no in-between or fractional values. Examples of discrete numerical variables include the number of siblings a person has, the number of children in a family, or the number of cars in a parking lot.
2. Continuous Numerical Variable: This type of variable can take on any value within a defined range, including fractional or decimal values. Continuous variables have an infinite number of possible values between any two points. Examples of continuous numerical variables include age, height, weight, temperature, or time.
It is important to identify the type of numerical variable in data analysis as it will determine the appropriate statistical methods and techniques to use. Discrete variables are typically analyzed using frequency counts, while continuous variables often involve measures of central tendency, variability, and correlation.
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