The previous two articles introduced two Continuous Distributions: Uniform and Exponential. This article covers the Normal Probability Distribution, also a Continuous distribution, which is by far the most widely used model for continuous measurement.

**Introduction –**

Whenever a random experiment is replicated, the Random Variable that equals the **average** (or total) result over the replicates tends to have a normal distribution as the number of replicates becomes **large**.

It is one of the cornerstones of probability theory and statistics, because of the role it plays in the Central Limit Theorem, and because many real-world phenomena involve random quantities that are approximately normal (e.g., errors in scientific measurement).

It is also known by other names such as- **Gaussian Distribution**, **Bell shaped Distribution**.

https://www.geeksforgeeks.org/mathematics-probability-distributions-set-3-normal-distribution/