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.
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.