The Bell Curve is a statistical term used to describe a specific distribution. It's also called the normal distribution, which is a special case, but it's still called a bell curve. If you're interested in statistics or data analysis, this guide will be useful for you. This article presents a number of real-life examples showing how the normal distribution works in practice and how to use it in your day-to-day life.Definition of a Bell Curve.A bell curve is a type of distribution for a variable in statistics. A variable is a quantifiable characteristic of an object, such as its weight, color, volume, pressure or time. The word "variable" comes from the Latin word “varius”, which means "changeable". The name “bell curve” comes from the shape of the graph that represents the distribution of the variable. It's given this name because it looks like a bell.The graph will show a cluster of data points close to the mean and tails that diminish as they move away from the mean. The area under the curve in between the mean and the tails is equal to the area of a rectangle that has the same height as the curve and the same width as the interval between the mean and tails.A bell curve is a symmetrical distribution, which means that it has properties of symmetry on both sides of its center point. A bell curve is often approximated by a normal distribution in statistics. This is because a normal distribution is an idealization of a bell curve and strictly obeys all its properties.The main property of a bell curve is in its shape. It's very important to know that the area under a bell curve equals 1. That's why this distribution is also called a unit normal distribution. The term "normal" means that the graph is symmetrical.
