Distributions are categorized based on the nature of the data they represent:
: These model data that can only take specific, countable values (e.g., the number of students in a class). Common examples include the Binomial Distribution and Poisson Distribution .
: These model data that can take any value within a range (e.g., height, time, or weight). The most famous example is the Normal (Gaussian) Distribution . Essential Types of Distributions
Researchers often use specific models to simplify complex real-world data:
A statistical distribution is a mathematical function that describes the likelihood of different outcomes or values occurring in a data set or experiment. It acts as a "story" for your data, illustrating where values tend to cluster and how they spread out. Core Concepts of Distributions
