Discrete and Continuous Probability Distributions

Discrete and Continuous Probability Distributions
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Discrete and Continuous Probability Distributions
Continuous and discrete variables constitute the two main types of quantitative forms that numerical values take in statistics, making researchers use them differently for analysis purposes. Often, the difference between these two variables is based on their presentation that exhibits distinct values. According to Kooi and Koelmans (2019), discrete variables exhibit clear spaces between their values that make them countable, and their function graphs show isolated points. On the other hand, continuous variables in statistics have infinite values, which are only measurable, and their function graph typically shows connected points.
Days of the week is an example of a discrete variable. The reason for its classification under this category is the specific attribute in that we can count days to have finite values that cannot be subdivided. Further, they are expressed in integers or...