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 . statistical 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 Distributions are categorized based on the nature of
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 The most famous example is the Normal (Gaussian)
Researchers often use specific models to simplify complex real-world data:
