Mini toolsDefinition
Mathematical functions that describe the probability of different possible outcomes in a random process.
Detailed Explanation
Statistical distributions provide a framework for understanding the probability of various outcomes in random processes. They can be discrete (probability mass functions) or continuous (probability density functions). Common distributions include Normal, Poisson, Binomial, and Exponential, each with specific parameters and properties that model different types of random phenomena.
Use Cases
Risk assessment, quality control, population modeling, experimental design, and machine learning model development.
