A comprehensive examination of the Gaussian Normal Distribution, its historical context, mathematical foundations, applications, and relevance in various fields.
The Normal Distribution, also known as the Gaussian Distribution, is a continuous probability distribution commonly used in statistics to describe data that clusters around a mean. Its probability density function has the characteristic bell-shaped curve.
The Standard Normal Distribution is a specific form of the Normal Distribution where the mean (μ) is 0 and the standard deviation (σ) is 1.
Comprehensive guide on Normal Distribution, its properties, applications, and importance in Statistics.
An in-depth exploration of the Normal Distribution, including its definition, mathematical formulation, various applications across different domains, historical context, and key properties.
