probability distribution
A normal distribution is a bell-shaped curve that describes how many random events or measurements cluster around an average value, with fewer occurrences at the extremes. It matters because many natural phenomena—like heights, test scores, and measurement errors—tend to follow this pattern, making it a fundamental tool for understanding and predicting real-world data.
AI-generated from the Wikipedia summary — may contain errors.
In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is
f ( x ) =
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).