Probability Distribution
A probability distribution describes how probability mass is assigned across possible outcomes or values. It formalizes random variables via probability mass, density, or cumulative functions for discrete and continuous cases. Distributions are fundamental to statistics, simulation, inference, probabilistic modeling, risk assessment, and decision analysis in research and applications.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.