Gaussian model

A Gaussian model, also known as a normal distribution, describes how data points are spread around an average value. Imagine plotting data points on a graph: most are close to the average, with fewer far away, forming a bell-shaped curve. This pattern suggests that many natural phenomena—like heights, test scores, or measurement errors—tend to follow this distribution. The model helps in understanding and predicting data behavior, allowing us to estimate probabilities of different outcomes with confidence. It’s a fundamental tool in statistics for analyzing variability and making informed decisions based on data.