Normal Distribution <meta name="google-site-verification" content="rjLrBlanfoddpXSLR1zvoYWKuVn0xJul2lYLr0zzpY0" /> The normal distribution is the most significant continuous probability distribution in all of statistics. The bell-shaped curve in Figure 6.2, which serves as the normal curve's graph, roughly depicts a number of events that arise in science, business, and research. Examples include physical measurements. In domains like meteorological research, rainfall investigations, and measurements of manufactured parts, a normal distribution is frequently more than adequate to explain the data. A normal distribution also provides a very good approximation of measurement errors in science. Abraham De Moivre created the equation for the normal curve in 1733. It offered a foundation upon which much of the inductive statistics theory was built. In honour of Karl Friedrich Gauss, the normal distribution is frequently referred to as the Gaussian distribution.